Udemy – Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2025] 2025-1

Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]. Are you interested in machine learning? Then this course is right for you! This course is designed by a data scientist and a machine learning expert to share our knowledge and help you learn complex theories, algorithms and coding libraries in a simple way. Over 1,000,000 students worldwide trust this course. We will take you step by step into the world of machine learning. With each tutorial, you’ll develop new skills and improve your understanding of this challenging yet rewarding subfield of data science. This course can be completed by doing Python tutorials, or R tutorials, or both – Python & R. Choose the programming language you need for your career. This course is fun and exciting while we dive deep into machine learning. Its structure is as follows:

• Part 1 – Data preprocessing
• Part 2 – Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
• Part 3 – Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Simple Bayes, Decision Tree Classification, Random Forest Classification
• Part 4 – Clustering: K-Means, Hierarchical Clustering
• Part 5 – Teaching the Rules of Society: Apriori, Eclat
• Part 6 – Reinforcement Learning: Upper Confidence Limits, Thompson Sampling
• Part 7 – Natural Language Processing: Word Set Models and Algorithms for NLP
• Part 8 – Deep learning: artificial neural networks, convolutional neural networks
• Part 9 – Dimensionality Reduction: PCA, LDA, Kernel PCA
• Part 10 – Model selection and boosting: k-fold cross-validation, parameter tuning, network search, XGBoost

Each section within each section is independent. So you can take the entire course from start to finish or you can go straight to any specific section and learn what you need for your career right now. In addition, the course is full of practical exercises based on real case studies. So not only will you learn the theory, but you will also have lots of practical exercises to build your own models. And as a bonus, the course includes both Python and R code templates that you can download and use in your own projects.

What you will learn in Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]

This course is suitable for people who

• Anyone interested in machine learning.
• Students who have at least a high school background in mathematics and want to start learning machine learning.
• Intermediate people who know the basics of machine learning, including classic algorithms like linear regression or logistic regression, but want to learn more and explore all the different areas of machine learning.
• Anyone who isn’t comfortable with coding but is interested in machine learning and wants to easily apply it to datasets.
• Any college student who wants to start a career in data science.
• Any data analyst who wants to excel in machine learning.
• All people who are not satisfied with their jobs and want to become scientists.
• Anyone who wants to create added value for their business using powerful machine learning tools.

Details of course

• Publisher: Udemy
• Lecturer: Kirill Eremenko and Hadelin de Ponteves and SuperDataScience Team and Ligency Team
• Training level: beginner to advanced
• Training duration: 42 hours and 43 minutes
• Number of courses: 385

Headlines

Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024] course prerequisites

• Just some high school mathematics level.

Course images

Sample video of the course

Download link

Download Part 1 – 2 GB

Download Part 2 – 2 GB

Download Part 3 – 2 GB

Download Part 4 – 2 GB

Download Part 5 – 1.24 GB

File(s) password:  www.downloadly.ir

File size

9.24 GB