Hands-On-Machine-Learning

KO | EN

gitlite — search

#hacktoberfest #react #ai #go #machine-learning #deep-learning #linux #macos #java #kubernetes #awesome-list #pytorch #ios #open-source

Hands-On-Machine-Learning

(★ 58)

📒Implementation of all the machine learning algorithms like regression, classification, clustering etc.

Hands-On-Machine-Learning 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Hands-On Machine Learning
*A step towards Data Science and Machine Learning*

### Contains the code and implementation of the following topics and techniques:
0. [**Every Machine Learning Algorithms From Scratch**](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/00.%20Every%20Machine%20Learning%20Algorithm%20From%20Scratch)
1. [**Data Preprocessing**](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/01.%20Data%20Preprocessing)
	* Importing the dataset
	* Dealing with missing data
	* Splitting the data into test set and training set
	* Feature Scalling
2. **Regression**
	* [Simple Linear Regression](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/02.%20Simple%20Linear%20Regression)
	* [Multiple Linear Regression](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/03.%20Multiple%20Linear%20Regression)
	* [Polynomial Linear Regression](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/04.%20Polynomial%20Regression)
	* [Support Vector Regression (SVR)](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/05.%20Support%20Vector%20Regression%20(SVR))
	* [Decision Tree Regression](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/06.%20Decision%20Tree%20Regression)
	* [Random Forest Regression](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/07.%20Random%20Forest%20Regression)
	
3. **Classification**
	* [Logistic Regression](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/08.%20Logistic%20Regression)
	* [K-Nearest Neighbors (K-NN)](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/09.%20K-Nearest%20Neighbors%20(K-NN))
	* [Support Vector Machine (SVM)](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/10.%20Support%20Vector%20Machine%20(SVM))
	* [Naive Bayes](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/11.%20Naive%20Bayes)
	* [Decision Tree Classifiers](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/12.%20Decision%20Tree%20Classification)
	* [Random Forest Classifiers](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/13.%20Random%20Forest%20Classification)
	
4. **Clustering**
	* [K-Means Clustering](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/14.%20K-Means%20Clustering)
	* [Hierarchical Clustering](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/15.%20Hierarchical%20Clustering)
	
5. **Association Rule Learning**
	* [Apriori](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/16.%20Apriori)
	* [Upper Confidence Bound](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/17.%20Upper%20Confidence%20Bound%20(UCB))
	* [Thompson Sampling](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/18.%20Thompson%20Sampling)
6. [**Natural Language Processing (NLP)**](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/19.%20Natural%20Language%20Processing%20(NLP))
7. **Deep Learning**
	* [Artificial Neural Networks (ANN)](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/20.%20Artificial%20Neural%20Networks)
	* [Convolutional Neural Networks (CNN)](https://github.com/vanshhhhh/Hands-On-Machine-Learning/tree/main/21.%20Convolutional%20Neural%20Networks)

Hands-On-Machine-Learning

Hands-On-Machine-Learning 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Hands-On-Machine-Learning

Hands-On-Machine-Learning 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README