Basic-Machine-Learning
This is a repo of basic Machine Learning what I learn. More to go...
MIT License
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- This repository contains a topic-wise curated list of Machine Learning and Deep Learning tutorials, articles and other resources.
Contents
- Introduction
- Interview Resources
- Artificial Intelligence
- Genetic Algorithms
- Resources on Kaggle
- Cheat Sheets
- Classification
- Linear Regression
- Logistic Regression
- Model Validation using Resampling
- Deep Learning
- Natural Language Processing
- Computer Vision
- Support Vector Machine
- Reinforcement Learning
- Decision Trees
- Random Forest / Bagging
- Boosting
- Bayesian Machine Learning
- Semi Supervised Learning
- Other Useful Tutorials
Introduction
Contributing
Have anything in mind that you think is awesome and would fit in this list? Feel free to send me a pull request!
Badges
Extracted from project README
