Welcome to my Machine Learning Study Log repository! This repository serves as a logbook to track my progress, learnings, and resources related to machine learning.
The main purpose of this repository is to document my journey in studying machine learning. By maintaining a study log, I aim to:
- Keep track of the concepts and techniques I have learned
- Review my progress over time
- Share my knowledge with others who might find it helpful
- Build a valuable resource for future reference
I maintain a logbook of my study progress in the logbook.md file. Each log entry consists of a brief description of the topic studied, relevant resources used, and any code or projects associated with it. I update the log regularly to reflect my ongoing learning.
Feel free to explore the logbook to get an idea of the topics I've covered and my progress in the field.
In this repository, I cover a wide range of machine learning topics, including but not limited to:
- Supervised Learning
- Unsupervised Learning
- Deep Learning
- Neural Networks
- Natural Language Processing
- Computer Vision
- Reinforcement Learning
- Data Preprocessing
- Feature Engineering
- Model Evaluation
- Model Deployment
The repository is organized into directories based on different subtopics, making it easy to navigate and locate specific areas of interest.
Besides my study log, I also maintain a resources.md file that lists the various resources I've found helpful in my learning journey. These resources include online courses, tutorials, books, research papers, and articles. Each resource is accompanied by a brief description and a link for easy access.
Feel free to explore the resources file to discover valuable learning materials that can aid your own studies.
I welcome contributions to this study log repository. If you find any errors, have suggestions for improvement, or would like to add resources, please feel free to open an issue or submit a pull request. Your contributions will help enhance the quality and usefulness of this repository for everyone.
This repository is licensed under the MIT License. You are free to use, modify, and distribute the content within this repository for personal or educational purposes.
However, please note that while this repository contains my personal study notes and findings, it should not be considered as a substitute for formal education or professional advice. Always refer to authoritative sources and consult with experts when needed.