MrVisionaryGenius / ML_for_all

This a repository to learn about Machine Learning, Especially for Students.

ML for All

Introduction

This is a comprehensive guide for learning Machine Learning. Whether you are a beginner or an experienced developer, this resource will help you understand and master the concepts of Machine Learning.

Table of Contents

• Getting Started
• Resources
• Machine Learning Blogs
• ML and MLOPS Dictionary
• Machine Learning Algorithms
• Machine Learning Practice Code
• Maths for Machine Learning
• Machine Learning Projects
• MLOPS
• LLM + Fine Tuning
• Testing
• Reinforcement Learning

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Getting Started

Resources

• Python for All
• Free APIs that can be used in Projects
• Machine Learning Interview Questions

Machine Learning Blogs

• ML is not a sprint but a marathon
• What are some of the top machine learning algorithms used to predict future probabilities?
• The Real World ML
• Data Exploration

ML and MLOPS

-All terms Dictionary for ML&MLOPS

Machine Learning Algorithms

• Linear Regression
• Logistic Regression
• Decision Trees
• Bayes' theorem
• k-Nearest Neighbors (kNN)
• K-means
• Random forest
• Gradient boosting algorithms
• Any dimensionality reduction algorithm PCA

Machine Learning Practice Code

Maths for Machine Learning

Machine Learning Projects

• 290+ Machine Learning Projects

MLOPS

LLM + Fine Tuning

• Learn Prompting

Testing

• A/B Testing in R

Reinforcement Learning

Conclusion

This Machine Learning resource is designed to provide you with a complete understanding of the concepts. Follow the table of contents to navigate through different topics and enhance your ML skills. Happy coding!