The 2025 AI Powered Data Science & Machine Learning Bundle for $39
KEY FEATURES
Discover Data Science with Hands-On Machine Learning Examples
Data science professionals are increasingly in demand across various fields, from government security to dating apps. With businesses and government departments relying on big data to thrive and serve their customers better, the need for skilled data scientists is on the rise.
If you’re eager to learn one of the most sought-after skills by employers, curious about diving into Data Science with Python, or an experienced developer looking to transition into the field, this course is for you.
This course provides practical, step-by-step instructions with hands-on projects to help you understand and apply machine learning concepts effectively. You’ll learn the fundamentals of machine learning, explore libraries like Scikit-Learn, and develop skills to analyze data, create visualizations, and implement machine learning algorithms. The course is tailored for everyone, from complete beginners to professionals seeking a refresher.
What you’ll learn
- Access 62 lectures & 8 hours of content 24/7
- Know what Machine Learning is & its terminologies
- Identify & apply evaluation metrics to assess machine learning model performance
- Distinguish between classification & regression tasks and their respective applications
- Evaluate classification model performance using metrics such as accuracy, precision, recall, and F1 score
- Assess regression model performance through metrics like mean absolute error, mean squared error, and R-squared
- Understand the concept of supervised learning and how it utilizes labeled data for model training.
- Apply cross-validation techniques to assess model generalization & understand the bias-variance trade-off in model complexity
- Use Matplotlib & Seaborn for data visualizations
- Implement machine learning algorithms & workflows using the SciKit Learn library
- Apply linear regression techniques to model & analyze the relationship between dependent and independent variables
- Utilize logistic regression to classify binary outcomes based on predictor variables
Who is this course for
- Beginners in data science who need a structured introduction to the basics of machine learning and Python programming.
- Aspiring data scientists seeking practical experience and foundational knowledge in machine learning.
- Experienced developers looking to transition into data science or enhance their machine learning skills.
- Professionals considering a career change into data science, with a focus on practical, hands-on learning.
- Python enthusiasts interested in applying Python for machine learning and data analysis.
PRODUCT SPECS
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- NOT downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
- Learn more about our Lifetime deals here!
Requirements
- Basic knowledge of Python
- Be able to operate & install necessary software on your computer
THE EXPERT
Oak Academy | Long Live Tech Knowledge
Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry’s biggest problem is the “tech skills gap” and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.
KEY FEATURES
Unleashing the Power of ChatGPT in Python for Data Science
Explore the transformative power of ChatGPT in Python and data science. ChatGPT is a powerful tool that data scientists can use to enhance their work. With its natural language processing capabilities, ChatGPT can provide quick and accurate answers to a wide range of data mining questions, making it an indispensable resource for those working in this field.
This course demonstrates how to integrate ChatGPT into your data science workflow, enhancing your ability to analyze data, generate insights, and automate tasks. Whether you’re building predictive models, cleaning data, or visualizing results, learn how to leverage ChatGPT to streamline processes and add a new dimension of intelligence to your data-driven projects.
What you’ll learn
- Access 36 lectures & 5 hours of content 24/7
- Integrate ChatGPT with Python for enhanced data science workflows
- Use ChatGPT for data cleaning, preprocessing, and analysis
- Implement ChatGPT in building and refining predictive models
- Automate repetitive data science tasks using ChatGPT
- Generate insights and visualize data with the help of ChatGPT
- Enhance your data-driven decision-making with AI-powered assistance
- Explore real-world applications of ChatGPT in data science projects
- Improve productivity and efficiency in your Python-based data science tasks
Who is this course for
- Data professionals exploring AI tools for learning and experimentation
- Python users curious about new ways to solve data problems
- Beginners wanting an easy start with AI in data science
- Educators adding practical AI tools to their lessons
- Learners interested in using ChatGPT for data science tasks
PRODUCT SPECS
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- NOT downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
- Learn more about our Lifetime deals here!
Requirements
-
A working computer (Windows, Mac, or Linux)
- Python programming language knowledge
THE EXPERT
Oak Academy | Long Live Tech Knowledge
Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry’s biggest problem is the “tech skills gap” and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.
KEY FEATURES
Master Data Analysis, Machine Learning, and AI
In today’s data-driven world, the ability to analyze data, draw meaningful insights, and apply machine learning algorithms is more crucial than ever. This course is designed to guide you through every step of that journey, from the basics of Exploratory Data Analysis (EDA) to mastering advanced machine learning algorithms, all while leveraging the power of ChatGPT-4o.
Once your foundation in EDA is solid, the course will guide you through advanced machine learning algorithms such as Logistic Regression, Decision Trees, Random Forest, and more. You’ll learn not only how these algorithms work but also how to implement and optimize them using real-world datasets. By the end of the course, you’ll be proficient in selecting the right models, fine-tuning hyperparameters, and evaluating model performance with confidence.
What you’ll learn
- Access 98 lectures & 11 hours of content 24/7
- Master the techniques for analyzing & visualizing data, detecting trends, and preparing data for modeling
- Implement algorithms like Logistic Regression, Decision Trees & Random Forest, and understand when and how to use them
- Leverage the AI capabilities of ChatGPT-4o to automate workflows, generate code & improve data insights
- Apply the knowledge gained to solve complex problems & make data-driven decisions in industries such as finance, healthcare, and technology
- Explore advanced techniques that combine AI with machine learning, pushing the boundaries of data analysis
Who this course is for
- Beginners looking to learn AI & ChatGPT from the ground up
- Data analysts & engineers interested in automating workflows with generative AI
- Business analysts exploring AI tools for data-driven insights
- Students & newcomers wanting hands-on experience with AI in data tasks
- Anyone curious about prompt engineering & real-world AI applications
PRODUCT SPECS
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- NOT downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
- Learn more about our Lifetime deals here!
Requirements
- A working computer (Windows, Mac, or Linux)
- Basic Python knowledge
THE EXPERT
Oak Academy | Long Live Tech Knowledge
Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry’s biggest problem is the “tech skills gap” and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.
KEY FEATURES
Kaggle: Your Gateway to Data Science and Machine Learning Mastery
This course, “Kaggle – Get The Best Data Science, Machine Learning Profile,” is designed to guide you through the platform step by step, enhancing your skills and boosting your career in this rapidly growing field.
Kaggle, a subsidiary of Google LLC, is an essential online community for data scientists and machine learning practitioners. It offers a platform to explore and build models, collaborate with other professionals, and participate in various industry challenges. Whether you’re interested in predictive texting, virtual assistants, or advancing your career in data science, Kaggle provides the tools and resources to help you succeed. With access to over 50,000 public datasets and a customizable Jupyter Notebooks environment, Kaggle is ideal for anyone looking to deepen their data science and machine learning expertise.
What you’ll learn
- Access 19 lectures & 3 hours of content 24/7
- Navigate and utilize the Kaggle platform for data science & machine learning
- Learn techniques for exploring & building models using Kaggle’s web-based data science environment
- Know strategies for collaborating with other data scientists & machine learning engineers
- Participate in Kaggle competitions & solve real-world data science challenges
- Learn best practices for using Jupyter Notebooks on Kaggle, including access to free GPUs
- Leverage over 50,000 public datasets & 400,000 public notebooks for your projects
- Improve your data science profile & increase your chances of landing a high-ranking position in Kaggle competitions
Who is this course for
- Aspiring data scientists looking to build and enhance their skills
- Machine learning practitioners seeking to gain hands-on experience with real-world challenges
- Developers interested in transitioning into data science and machine learning
- Professionals wanting to improve their data science profile and resume with Kaggle experience
- Individuals curious about data science and eager to start their learning journey with Python and Kaggle
- Students and researchers aiming to expand their knowledge and practical skills in data analysis and model building
- Anyone interested in leveraging Kaggle’s resources and community to advance their career in data science
PRODUCT SPECS
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- NOT downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
- Learn more about our Lifetime deals here!
Requirements
- Any device with basic specifications
THE EXPERT
Oak Academy | Long Live Tech Knowledge
Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry’s biggest problem is the “tech skills gap” and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.
KEY FEATURES
Improve Your Python Skills with Hands-On Project
Embark on a comprehensive Python programming journey with this hands-on course. Designed to make learning easy, you’ll receive down-to-earth explanations and step-by-step guidance on various projects. Starting from the very basics, you’ll be equipped with the knowledge to program confidently. Learn how to set up a lab and install the necessary software on your machine. Explore fundamental concepts such as installing Anaconda Distribution for Windows, macOS, and Linux, as well as review the Jupyter Notebook and Jupyter Lab. Dive into Python Introduction, take your first step into coding, and master using quotation marks in Python. Through practical examples and engaging exercises, this course ensures that you not only understand but also remember the core principles of Python programming.
What you’ll learn
- Access 101 lectures & 10 hours of content 24/7
- Install Anaconda Distribution for Windows, Linux, or Mac
- Identify the different types of Conversion
- Write functions with multiple arguments
- Conduct data analysis without errors
- Master the fundamentals of Python
Who this course is for
- Tech geeks who are curious about data science
- Anyone who has programming experience and wants to enter the Python world
- Statisticians and mathematicians who want to learn Python for data science.
PRODUCT SPECS
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- NOT downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
- Learn more about our Lifetime deals here!
Requirements
- A working computer (Windows, Mac, or Linux) capable of running Anaconda 3 or newer
- A little bit of coding experience
- At least high school level math skills
THE EXPERT
Oak Academy | Long Live Tech Knowledge
Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry’s biggest problem is the “tech skills gap” and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.
KEY FEATURES
Create Machine Learning Algorithms in Python
Unlock the power of Python to master machine learning in this comprehensive beginner’s course! Learn key concepts, from data preprocessing to building and evaluating models, with hands-on projects to cement your skills. Perfect for anyone new to coding or data science, this course equips you with practical knowledge to confidently start your machine learning journey. No prior experience is needed!
What you’ll learn
- Access 85 lectures & 2 hours of content 24/7
- Learn Python programming & apply Scikit-learn to machine learning regression
- Understand the underlying theory behind simple & multiple linear regression techniques
- Solve regression problems (linear regression & logistic regression)
- Understand both the theory and practical application of logistic regression using sklearn.
- Learn the mathematics behind decision trees
- Learn about the different algorithms for clustering
Who this course is for
- Anyone who wants to pursue a career in Machine Learning
- Any Python programming enthusiast willing to add machine learning proficiency to their portfolio
- Technologists who are curious about how Machine Learning works in the real world
- Programmers who are looking to add machine learning to their skillset
PRODUCT SPECS
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- NOT downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
- Learn more about our Lifetime deals here!
Requirements
- Any device with basic specifications
- Experience with the basics of Python
- Basic mathematical skills
THE EXPERT
Apex Learning
Apex Learning aims to be an online education that provides the necessary support to the learners and facilitates educators’ work and contributes to professional development. They offer innovative pedagogical resources and training in a planned, updated, and oriented way.
KEY FEATURES
Harness the Power of Python, Machine Learning, and TensorFlow
This intensive program is designed for both beginners eager to dive into the world of data science and seasoned professionals looking to deepen their understanding of machine learning, deep learning, and TensorFlow’s capabilities.
Starting with Python, a key tool in AI, this course covers essential features and libraries for data analysis. It then explores machine learning fundamentals, progressing from supervised to unsupervised learning before advancing into deep learning. With TensorFlow, learners will build neural networks, optimize models, and deploy AI solutions. The goal is mastery—ensuring both theoretical understanding and hands-on experience for industry readiness.
Whether you aspire to innovate in AI research or implement solutions in business settings, this comprehensive course promises a profound understanding, equipping you with the tools and knowledge to harness the power of Python, Machine Learning, and TensorFlow.
What you’ll learn
- Access 34 lectures & 3 hours of content 24/7
- Learn the fundamentals of machine learning, deep learning & their real-world applications
- Set up & work with TensorFlow, gaining insight into its architecture and APIs
- Develop expertise in supervised learning algorithms, including linear regression, SVMs & decision trees
- Explore unsupervised methods such as clustering & PCA
- Build and implement neural networks, including CNNs & RNNs, using TensorFlow
- Assess & refine ML models by tackling overfitting and optimizing hyperparameters
- Deploy TensorFlow models in production settings
- Gain practical experience through a hands-on image classification project
- Progress from Python fundamentals to advanced machine learning & TensorFlow applications
Who this course is for
- Beginners in data science
- Python developers
- Data analysts & statisticians
- Tech enthusiasts
- Students
- Career changers
- Researchers
- Business professionals
- Freelancers
PRODUCT SPECS
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- NOT downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
- Learn more about our Lifetime deals here!
Requirements
- Basic Python knowledge
- Foundational Math skills
- Computer with internet access
- Python environment setup
- Basic understanding of data structures
THE EXPERT
Apex Learning
Apex Learning aims to be an online education that provides the necessary support to the learners and facilitates educators’ work and contributes to professional development. They offer innovative pedagogical resources and training in a planned, updated, and oriented way.
KEY FEATURES
Understand Machine Learning Concepts and Address Complex Data Challenges
Throughout this comprehensive program, you will explore a wide range of machine learning concepts, algorithms, and practical applications, focusing on the core principles of predictive modeling and data analysis.
This course covers crucial topics, including the skills required for data science, understanding machine learning and its applications, and the distinctions between machine learning and deep learning. You will delve into supervised and unsupervised learning techniques, gaining hands-on experience with data handling, model building, and implementing various algorithms. Additionally, the course addresses essential aspects of data preparation, such as outlier removal, missing values treatment, standardization, and normalization.
What you’ll learn
- Access 5 lectures & 3 hours of content 24/7
- Gain a solid understanding of fundamental machine learning concepts & principles
- Explore key supervised learning algorithms such as Linear Regression, Logistic Regression & Decision Trees
- Learn techniques for evaluating & validating machine learning models
- Develop skills in creating new features & selecting the most impactful ones for improving model performance
- Understand the ethical implications & learn strategies to identify and mitigate bias in machine learning models
Who this course is for
- Anyone interested in gaining a solid foundation in machine learning
- Beginners looking to understand core machine learning concepts and their applications
- Intermediate learners aiming to expand their skills with advanced techniques and real-world projects
- Professionals seeking to enhance their data science toolkit with practical machine learning experience
PRODUCT SPECS
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- Not downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
- Learn more about our Lifetime deals here!
Requirements
-
Basic understanding of Python programming, including familiarity with libraries such as NumPy and Pandas
-
Essential knowledge of linear algebra, calculus, and probability/statistics
-
Basic understanding of data structures and control flow
THE EXPERT
GreyCampus | EdTech Platform
GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one’s career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.
KEY FEATURES
Leverage Python for Diverse Data Science Tasks
The Data Science with Python course is designed to equip you with comprehensive skills in data science using the versatile Python programming language. This program covers essential topics from foundational concepts to advanced techniques, preparing you to excel in the dynamic field of data science.
Throughout the course, you will develop proficiency in critical areas such as “Handling Missing Values” to ensure data integrity and “Data Exploration” techniques to gain thorough insights into datasets. Hands-on sessions focusing on “NumPy” for numerical computing and “Data Manipulation” with Pandas will provide you with practical tools for efficient data analysis and manipulation. Additionally, you will explore “Object-Oriented Programming (OOP)” principles for creating modular and maintainable code, and learn “Web Scraping” techniques to extract data from websites for analysis.
What you’ll learn
- Access 16 lectures & 12 hours of content 24/7
- Ensure data integrity by effectively managing incomplete datasets
- Gain thorough insights into datasets & uncover patterns and relationships
- Know tools & techniques for manipulating and transforming data efficiently
- Understand & apply OOP principles in Python
- Extract data from websites for analysis
Who this course is for
- Anyone new to programming who wants to learn Python from the ground up
- Anyone looking to advance their Python skills for career growth
- Anyone interested in exploring Python’s applications in various tech fields
- Anyone seeking to develop practical coding skills for real-world projects
PRODUCT SPECS
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- Not downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
- Learn more about our Lifetime deals here!
Requirements
-
Basic proficiency in using computers & software installation
-
Familiarity with fundamental Python programming concepts
-
A foundational understanding of mathematics & statistics would be advantageous.
THE EXPERT
GreyCampus | EdTech Platform
GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one’s career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.
KEY FEATURES
Advanced Machine Learning Concepts, Algorithms, and Practical Applications
Welcome to “Advanced Machine Learning with Python,” a comprehensive course designed to equip you with the advanced knowledge and skills needed to excel in machine learning. Throughout this program, you will explore various advanced machine learning concepts, algorithms, and practical applications.
This course covers crucial topics, including feature selection, data preprocessing, bagging and boosting techniques, and model tuning with grid search. You will also delve into specific algorithms such as linear regression, random forest, and Naive Bayes theorem, gaining hands-on experience with Python to build and optimize machine learning models.
What you’ll learn
- Access 10 lectures & 5 hours of content 24/7
- Gain a solid understanding of feature selection techniques to improve model performance by selecting the most relevant features
- Learn advanced data preprocessing methods, including handling missing values, scaling & normalization
- Explore ensemble learning techniques such as bagging & boosting to enhance model accuracy and robustness
- Understand the process of model tuning using grid search to find the optimal hyperparameters for your models
- Dive deep into linear regression, understanding its principles & applications
Who this course is for
- Data analysts and data scientists
- Anyone interested in data analysis
PRODUCT SPECS
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: basic to intermediate
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- NOT downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
- Learn more about our Lifetime deals here!
Requirements
- Basic understanding of Python Programming including familiarity with libraries such as NumPy, Pandas, and Scikit-learn
- Understanding of basic machine learning concepts and algorithms
- Basic knowledge of statistics and probability is beneficial
THE EXPERT
GreyCampus | EdTech Platform
GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one’s career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.
KEY FEATURES
Use R for Machine Learning Tasks
This comprehensive course immerses you in the world of machine learning, using the powerful R programming language. Starting with fundamental concepts, you’ll gradually advance to implementing sophisticated algorithms, gaining the expertise needed to thrive in the field. Topics covered include regression, classification, clustering, and dimensionality reduction techniques. With a focus on practical experience, this course empowers you to confidently apply machine learning methods in real-world scenarios. The hands-on approach ensures that you’ll not only grasp theoretical concepts but also learn how to implement them effectively using R.
What you’ll learn
- Access 8 lectures & 8 hours of content 24/7
- Learn the fundamentals of machine learning & its applications
- Implement regression, classification & clustering algorithms
- Learn dimensionality reduction techniques for data simplification
- Use R for data preprocessing & model building
- Explore practical approaches for applying machine learning in real-world scenarios
- Evaluate and fine-tune machine learning models
- Confidently apply machine learning techniques across various industries using R
Who this course is for
- Anyone new to machine learning and looking for a comprehensive introduction
- Anyone interested in applying machine learning techniques using R
- Anyone aiming to enhance their data science and analytical skills
- Anyone wanting to implement machine learning in real-world projects
- Anyone in data-related fields seeking to expand their knowledge of advanced algorithms
- Anyone looking to build practical, hands-on experience in machine learning
PRODUCT SPECS
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- Not downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
- Learn more about our Lifetime deals here!
Requirements
-
Fundamental computer skills and comfort with installing and using software.
-
Understanding of key concepts in data handling, such as loading data from different sources (CSV, Excel, databases) and basic data cleaning
-
Basic understanding of programming concepts
THE EXPERT
GreyCampus | EdTech Platform
GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one’s career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.
KEY FEATURES
Tackle Complex Machine-Learning Challenges Using the R Programming Language
Machine Learning with R is designed to equip you with the essential knowledge and skills to master machine learning techniques using the R programming language. Throughout this comprehensive program, you will explore a wide range of machine learning concepts, algorithms, and practical applications, focusing on the core principles of predictive modeling and data analysis.
This course covers crucial topics, including the fundamentals of machine learning, linear and logistic regression, decision trees, random forests, K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and evaluation metrics. Additionally, you will delve into time series analysis, gaining hands-on experience with data handling, model building, and implementing various algorithms using R. The course will also compare and contrast decision trees and random forests, providing you with a deep understanding of these popular techniques.
What you’ll learn
- Access 11 lectures & 10 hours of content 24/7
- Gain a solid understanding of fundamental machine learning concepts & principles
- Explore the SVM algorithm & its use in high-dimensional spaces for classification
- Compare & contrast decision trees and random forests, understanding their strengths and weaknesses
- Learn various metrics for evaluating machine learning models, including accuracy, precision, recall, F1 score & ROC-AUC
- Gain insights into time series data, understand trends, seasonality & noise, and apply models for forecasting
Who this course is for
- Data analysts and data scientists
- Anyone interested in data analysis
PRODUCT SPECS
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- NOT downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
- Learn more about our Lifetime deals here!
Requirements
- Basic understanding of R programming, including familiarity with data manipulation and visualization libraries
- Essential knowledge of linear algebra, calculus, and probability/statistics
- Basic understanding of data structures and control flow in R
THE EXPERT
GreyCampus | EdTech Platform
GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one’s career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.
KEY FEATURES
Your Comprehensive Guide to Advanced Machine Learning
Mastering Machine Learning with Python immerses learners in advanced machine learning algorithms, hypothesis testing, and optimization techniques. You will delve into essential topics such as the basics of matrices, decision trees, random forests, K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and Naive Bayes classifiers. Explore unsupervised learning techniques, including K-Means clustering and PCA, and gain Time Series Analysis (TSA) proficiency.
This course also covers advanced areas like Natural Language Processing (NLP), Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN), and reinforcement learning. Additionally, you will use libraries like Scikit-Learn for machine learning tasks and OpenCV for NLP walkthroughs.
What you’ll learn
- Access 67 lectures & 12 hours of content 24/7
- Learn core concepts such as matrices, decision trees, random forests, K-Nearest Neighbors (KNN), SVM, and Naive Bayes classifiers
- Learn unsupervised learning methods including K-Means clustering and PCA for pattern discovery
- Explore advanced techniques like NLP, Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN) & reinforcement learning
- Develop practical skills with Scikit-Learn and OpenCV to tackle real-world machine-learning challenges
Who this course is for
- Anyone interested in gaining a solid foundation in machine learning using Python
- Beginners looking to understand core machine learning concepts and their applications
- Intermediate learners aiming to expand their skills with advanced techniques and real-world projects
- Professionals seeking to enhance their data science toolkit with practical machine learning experience
PRODUCT SPECS
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- Not downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
- Learn more about our Lifetime deals here!
Requirements
-
Basic knowledge of Python programming
-
Familiarity with basic statistics and linear algebra
-
Basic understanding of data structures and control flow
THE EXPERT
GreyCampus | EdTech Platform
GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one’s career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.
KEY FEATURES
Discover the Fascinating Worlds of Data Science, Machine Learning, and Ethical Hacking
Enroll in The Comprehensive 3-in-1 Data Science Bundle and acquire the essential skills to excel in a data-driven world. Designed for beginners and experienced professionals alike, this bundle covers data science, machine learning, and ethical hacking. The bundle provides the cutting-edge skills you need to thrive in a data-driven world, regardless of whether you are a beginner or an experienced professional.
This comprehensive bundle includes three essential courses: Data Science and Machine Learning with R, Python for Data Science and Machine Learning, and Ethical Hacking from Scratch. Don’t miss this opportunity to stay ahead in your career and gain cutting-edge knowledge.
What you’ll learn
- Access 326 lectures & 63 hours of content 24/7
- Learn how to become a data scientist, data engineer, data analyst, or consultant
- Get data scientist resume tips & land your first job
- Learn how to clean, process, wrangle & manipulate data
- Know how to create a resume for a data science job
- Know how to become a top-notch ethical hacker
- Discover how to launch computer attacks or exploits
Who this course is for
The course is right for you if you already work in this industry or want to make the transition. This Data Science Bundle – 3 in 1 Course is designed to enhance your expertise and improve your CV.
NOTE: Software NOT included
PRODUCT SPECS
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- Not downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
- Learn more about our Lifetime deals here!
Requirements
- Any device with basic specifications
- A good grasp of English, mathematics, and computer skills.
THE EXPERT
Learndrive UK
Over 5,000 learners with 300+ instructor-led courses!
Learndrive is on a mission to provide easily accessible quality education and training for everyone around the world. As an online training provider, they strive to provide courses to help their learners achieve their academic and career goals. Learndrive offers a wide range of courses that are tailored to make them useful to individuals who are willing to learn. They are constantly working on delivering new and on-demand courses for our learners.
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