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Machine Learning Master
1. What is Machine Learning?
2. Types Of Machine Learning
3. Applications of Machine Learning
4. Machine Learning Life Cycle
5. Bias-Variance
6. Understanding Gradient Descent
7. Learning Curves
8 Linear Regression
9. Regualrization Models
10. Linear Regression Assumptions
11. Logistic Regression
Machine Learning Projects
Deep Learning Projects
Digits MNIST
Fashion MNIST
CIFAR 10
Resources
Contribution Guidelines
Website Theme
Machine Learning Master On GitHub
Resources
Books
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Topic wise links
Basic Terminology of Machine Learning
What is Machine Learning? What are the types?
Applications Of Machine Learning
Machine learning Life cycle
Bias-variance
Bias-Variance Tradeoff - Analytics Vidhya
Gradient Descent
Understanding Gradient Descent - Analytics Vidhya
Websites
Machine Learning Mastery
Analytics Vidhya
Medium Publications
Towards Data Science
Analytics Vidhya