AI-ML-DS-Learning-Series

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AI-ML-DS-Learning-Series

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Collection of all Machine Learning and Deep Learning algorithms which would be helpful for beginners

AI-ML-DS-Learning-Series 최신버젼 다운로드

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# AI-ML-DS-Learning-Series 🤖

After completion of ML course from Stanford University I thought of exploring more ML algorithms and making models in python using inbuilt libraries. This repo consists of all the basic models of algorithms that I have encountered in my AI journey. 
Contents are as follows:

- **REGRESSION**
  - Simple Linear Regression
  - Multiple Linear Regression
  - Polynomial Linear Regression
  - Support Vector Regression
  - Decision Tree Regression
  - Random Forest Regression
 
- **CLASSIFICATION**
  - Logistic Regression
  - K Nearest Neighbors
  - Support Vector Machine(Linear and Non-linear)
  - Decision Trees
  - Random Forest
  - Naive Bayes
  - XGBoost
 
- **CLUSTERING**
  - Heirarchical 
  - K Means
 
- **ASSOCIATION LEARNING**
  - Apriori
  - Eclat

- **REINFORCEMENT LEARNING**
  - Upper Confidence Bound
  - Thompson Sampling

- **NATURAL LANGUAGE PROCESSING**

- **DEEP LEARNING**
  - Artificial Neural Networks
  - Convolutional Neural Networks

- **DIMENSIONALITY REDUCTION**
  - Principal Component Analysis
  - Linear Discriminant Analysis

- **PYTHON LIBRARIES USED**

![Keras](https://img.shields.io/badge/Keras-%23D00000.svg?style=for-the-badge&logo=Keras&logoColor=white)
![NumPy](https://img.shields.io/badge/numpy-%23013243.svg?style=for-the-badge&logo=numpy&logoColor=white)
![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge&logo=pandas&logoColor=white)
![scikit-learn](https://img.shields.io/badge/scikit--learn-%23F7931E.svg?style=for-the-badge&logo=scikit-learn&logoColor=white)
![TensorFlow](https://img.shields.io/badge/TensorFlow-%23FF6F00.svg?style=for-the-badge&logo=TensorFlow&logoColor=white)

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