{"id":19327053,"url":"https://github.com/nishkarshraj/100daysofmlcode","last_synced_at":"2025-05-15T16:06:13.391Z","repository":{"id":37624714,"uuid":"233237830","full_name":"NishkarshRaj/100DaysofMLCode","owner":"NishkarshRaj","description":"My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. 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Data Pre-processing**](2_Data_Preprocessing/README.md)\n  * [Importing Libraries](2_Data_Preprocessing/README.md#importing_libraries)\n  * [Importing Data sets](2_Data_Preprocessing/README.md#importing_datasets)\n  * [Handling the missing data values](2_Data_Preprocessing/README.md#handling_veracity)\n  * [Encoding categorical data](2_Data_Preprocessing/README.md#encoding_cat_data)\n  * [Split Data into Train data and Test data](2_Data_Preprocessing/README.md#split_data)\n  * [Feature Scaling](2_Data_Preprocessing/README.md#feature_scaling)\n  \n[**2. Regression**](3_Regression/README.md)\n * [Simple Linear Regression](3_Regression/Simple_Linear_Regression)\n * [Multi Linear Regression](3_Regression/Multi_Linear_Regression)\n * [Polynomial Regression](3_Regression/Polynomial_Regression)\n * [Support Vector Regression](3_Regression/Support_Vector_Regression)\n * [Decision Tree Regression](3_Regression/Decision_Tree_Regression)\n * [Random Forest Regression](3_Regression/Random_Forest_Regression)\n \n[**3. Classification**](4_Classification/README.md)\n * [Logistic Regression](4_Classification/Logistic_Regression)\n * [K Nearest Neighbors Classification](4_Classification/K_Nearest_Neighbors)\n * [Support Vector Machine](4_Classification/Support_Vector_Machine)\n * [Kernel SVM](4_Classification/Kernel-SVM)\n * [Naive Bayes](4_Classification/Naive_Bayes)\n * [Decision Tree Classification](4_Classification/Decision_Tree_Classification)\n * [Random Forest Classification](4_Classification/Random_Forest_Classification)\n\n[**4. Clustering**](5_Clustering/README.md)\n * [K-Means Clustering](5_Clustering/K_Means)\n * [Hierarchical Clustering](5_Clustering/Hierarchical_Clustering)\n \n[**5. Association Rule**](6_Association_Rule/README.md)\n * [Apriori](6_Association_Rule/Apriori) \n * [Eclat](6_Association_Rule/Eclat)\n \n[**6. Reinforcement Learning**](7_Reinforcement_Learning/README.md)\n * [Upper Confidence Bounds](7_Reinforcement_Learning\\Upper_confidence_Bound)\n * [Thompson Sampling](7_Reinforcement_Learning/Thompson_Sampling)\n\n[**7. Natural Language Processing** ](8_Natural_Language_Processing)\n * [AWS Comprehend](8_Natural_Language_Processing)\n\n[**8. Deep Learning**](9_Deep_Learning/README.md)\n * [Artificial Neural Networks (ANN)](9_Deep_Learning/Artificial_Neural_Networks)\n * [2. Convolutional Neural Networks (CNN)](9_Deep_Learning/Convolutional_Neural_Networks)\n\n \n[**9. Dimensionality Reduction**](10_Dimensionality_Reduction/README.md)\n * [Principal Component Analysis](10_Dimensionality_Reduction/Principal_Component_Analysis)\n * [Linear Discriminant Analysis](10_Dimensionality_Reduction/Linear_Discriminant_Analysis)\n * [Kernel PCA](10_Dimensionality_Reduction/Kernel_PCA)\n \n[**10. Model Selection**](11_Model_Selection/README.md)\n * [Grid Search](11_Model_Selection/Model_Selection)\n * [K-fold Cross Validation](11_Model_Selection/Model_Selection)\n * [XGBoost](11_Model_Selection/XGBoost)\n \n**11. Data Visualization**\n * Matplotlib library in Python\n * Tableau\n * Power BI\n * Grafana\n\n## Log of my Day-to-Day Activities\n\nTrack my daily activities [here](docs/100Days_Log.md)\n\n## How to Contribute\n\nThis is an open project and contribution in all forms are welcomed.\nPlease follow these [Contribution Guidelines](docs/CONTRIBUTING.md)\n\n## Code of Conduct\n\nAdhere to the GitHub specified community [code](docs/CODE_OF_CONDUCT.md).\n\n## License\n\nCheck the official MIT License [here](LICENSE).\n\n\u003c!-- prettier-ignore-start --\u003e\n\u003c!-- DO NOT REMOVE - contributor_list:start --\u003e\n## 👥 Contributors\n\n\n- **[@NishkarshRaj](https://github.com/NishkarshRaj)**\n\n- **[@neha-shah99](https://github.com/neha-shah99)**\n\n- **[@manavkapadnis](https://github.com/manavkapadnis)**\n\n- **[@UdayKiranPadhy](https://github.com/UdayKiranPadhy)**\n\n- **[@codingcosmonaut](https://github.com/codingcosmonaut)**\n\n- **[@ekdnam](https://github.com/ekdnam)**\n\n- **[@anushka0301](https://github.com/anushka0301)**\n\n- **[@JeremiahKamama](https://github.com/JeremiahKamama)**\n\n- **[@aenyne](https://github.com/aenyne)**\n\n- **[@pragyakapoor](https://github.com/pragyakapoor)**\n\n\u003c!-- DO NOT REMOVE - contributor_list:end --\u003e\n\u003c!-- prettier-ignore-end --\u003e","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnishkarshraj%2F100daysofmlcode","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnishkarshraj%2F100daysofmlcode","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnishkarshraj%2F100daysofmlcode/lists"}