Complete Playlist for Introduction to Machine Learning

🆓 It's 100% FREE and accessible to everyone!

What You’ll Learn:

Basics of Machine Learning

Types of Learning (Supervised, Unsupervised, Reinforcement)

Data Handling & Preprocessing

Neural Networks and Deep Learning

Model Evaluation and Performance Metrics

Hands-on Projects & Real-world Applications

Using cutting-edge AI techniques, this series offers clear visualizations and explanations to help you build a strong foundation.

📺 Watch Now on my YouTube Channel: https://www.youtube.com/@professorrahuljain

01. What is Machine Learning

https://youtu.be/w6fkk6cvNFE

02. Types of Machine Learning

https://youtu.be/GlpcwyROyBY

03. Understanding Data in Machine Learning

https://youtu.be/9Q_r73M03vQ

04. Master Data Preprocessing for Machine Learning Clean & Prepare Your Data

https://youtu.be/-gxtHdTOQ3k

05. What is Supervised Learning ?

https://youtu.be/vJbLlVd_UqE

06. Regression Algorithms | Linear Regression

https://youtu.be/3dBt4uta9qo

07.Classification Algorithms Explained | Logistic Regression, Decision Trees, Support Vector Machine

https://youtu.be/kMB-So35NiM

08. What is Unsupervised Learning? Basic Introduction

https://youtu.be/IGEHHrGnnGk

09. Clustering Techniques | K Means Clustering

https://youtu.be/yf6vr1zaq4Y

10. Simplifying Data with PCA | Principal Component Analysis | Dimensionality Reduction

https://youtu.be/9Fgz7-kMlTY

11. Neural Networks Overview | Understanding layers, Neurons & Activations

https://youtu.be/0ZeJDf6YX08

12. Training Neural Networks | Weights, Biases, Backpropogation & Gradient Descent

https://youtu.be/pztoajbS23Q

13. What is Reinforcement Learning?

https://youtu.be/mfCK1kzXYug

14. Q-Learning & Markov Decision Processes

https://youtu.be/9w_dhCoptUA

15. Model Evaluation in Supervised Learning Accuracy, Precision, Recall, F1 Score & Confusion Matrix

https://youtu.be/LlYknla-TS4

16. Overfitting vs Underfitting | How to Recognize & Avoid Them + The Bias Variance Trade off

https://youtu.be/MlqmOK5iqis

17. Build a Simple Linear Regression Model | Step by Step Guide Using Real World Data

https://youtu.be/CMbjN913mg8

18. Classification Model using Decision Trees

https://youtu.be/zdNA8pxeiDI

19. Clustering with K Means Algorithm | Hands on Example

https://youtu.be/uJ3IeRUx7EU

20. Introduction to Deep Learning | How It Differs from Traditional ML + Real World Use Cases

https://youtu.be/P2A4fePBBbY

21. Introduction to Natural Language Processing (NLP)

https://youtu.be/7qJB2WYvr5I

22. Machine Learning Recap, Suggestions for Advanced Topics and Continued Learning

https://youtu.be/HlnOLiiilpI

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