<!-- DO NOT REMOVE - contributor_list:data:start:["NishkarshRaj", "neha-shah99", "manavkapadnis", "UdayKiranPadhy", "codingcosmonaut", "ekdnam", "anushka0301", "JeremiahKamama", "aenyne", "pragyakapoor"]:end -->
![Cover Image](docs/cover.png)

<h1 align="center">#100DaysofMLCode</h1>

## Table of Contents

[**1. Data Pre-processing**](2_Data_Preprocessing/README.md)
  * [Importing Libraries](2_Data_Preprocessing/README.md#importing_libraries)
  * [Importing Data sets](2_Data_Preprocessing/README.md#importing_datasets)
  * [Handling the missing data values](2_Data_Preprocessing/README.md#handling_veracity)
  * [Encoding categorical data](2_Data_Preprocessing/README.md#encoding_cat_data)
  * [Split Data into Train data and Test data](2_Data_Preprocessing/README.md#split_data)
  * [Feature Scaling](2_Data_Preprocessing/README.md#feature_scaling)
  
[**2. Regression**](3_Regression/README.md)
 * [Simple Linear Regression](3_Regression/Simple_Linear_Regression)
 * [Multi Linear Regression](3_Regression/Multi_Linear_Regression)
 * [Polynomial Regression](3_Regression/Polynomial_Regression)
 * [Support Vector Regression](3_Regression/Support_Vector_Regression)
 * [Decision Tree Regression](3_Regression/Decision_Tree_Regression)
 * [Random Forest Regression](3_Regression/Random_Forest_Regression)
 
[**3. Classification**](4_Classification/README.md)
 * [Logistic Regression](4_Classification/Logistic_Regression)
 * [K Nearest Neighbors Classification](4_Classification/K_Nearest_Neighbors)
 * [Support Vector Machine](4_Classification/Support_Vector_Machine)
 * [Kernel SVM](4_Classification/Kernel-SVM)
 * [Naive Bayes](4_Classification/Naive_Bayes)
 * [Decision Tree Classification](4_Classification/Decision_Tree_Classification)
 * [Random Forest Classification](4_Classification/Random_Forest_Classification)

[**4. Clustering**](5_Clustering/README.md)
 * [K-Means Clustering](5_Clustering/K_Means)
 * [Hierarchical Clustering](5_Clustering/Hierarchical_Clustering)
 
[**5. Association Rule**](6_Association_Rule/README.md)
 * [Apriori](6_Association_Rule/Apriori) 
 * [Eclat](6_Association_Rule/Eclat)
 
[**6. Reinforcement Learning**](7_Reinforcement_Learning/README.md)
 * [Upper Confidence Bounds](7_Reinforcement_Learning\Upper_confidence_Bound)
 * [Thompson Sampling](7_Reinforcement_Learning/Thompson_Sampling)

[**7. Natural Language Processing** ](8_Natural_Language_Processing)
 * [AWS Comprehend](8_Natural_Language_Processing)

[**8. Deep Learning**](9_Deep_Learning/README.md)
 * [Artificial Neural Networks (ANN)](9_Deep_Learning/Artificial_Neural_Networks)
 * [2. Convolutional Neural Networks (CNN)](9_Deep_Learning/Convolutional_Neural_Networks)

 
[**9. Dimensionality Reduction**](10_Dimensionality_Reduction/README.md)
 * [Principal Component Analysis](10_Dimensionality_Reduction/Principal_Component_Analysis)
 * [Linear Discriminant Analysis](10_Dimensionality_Reduction/Linear_Discriminant_Analysis)
 * [Kernel PCA](10_Dimensionality_Reduction/Kernel_PCA)
 
[**10. Model Selection**](11_Model_Selection/README.md)
 * [Grid Search](11_Model_Selection/Model_Selection)
 * [K-fold Cross Validation](11_Model_Selection/Model_Selection)
 * [XGBoost](11_Model_Selection/XGBoost)
 
**11. Data Visualization**
 * Matplotlib library in Python
 * Tableau
 * Power BI
 * Grafana

## Log of my Day-to-Day Activities

Track my daily activities [here](docs/100Days_Log.md)

## How to Contribute

This is an open project and contribution in all forms are welcomed.
Please follow these [Contribution Guidelines](docs/CONTRIBUTING.md)

## Code of Conduct

Adhere to the GitHub specified community [code](docs/CODE_OF_CONDUCT.md).

## License

Check the official MIT License [here](LICENSE).

<!-- prettier-ignore-start -->
<!-- DO NOT REMOVE - contributor_list:start -->
## 👥 Contributors


- **[@NishkarshRaj](https://github.com/NishkarshRaj)**

- **[@neha-shah99](https://github.com/neha-shah99)**

- **[@manavkapadnis](https://github.com/manavkapadnis)**

- **[@UdayKiranPadhy](https://github.com/UdayKiranPadhy)**

- **[@codingcosmonaut](https://github.com/codingcosmonaut)**

- **[@ekdnam](https://github.com/ekdnam)**

- **[@anushka0301](https://github.com/anushka0301)**

- **[@JeremiahKamama](https://github.com/JeremiahKamama)**

- **[@aenyne](https://github.com/aenyne)**

- **[@pragyakapoor](https://github.com/pragyakapoor)**

<!-- DO NOT REMOVE - contributor_list:end -->
<!-- prettier-ignore-end -->