├── .github └── FUNDING.yml ├── .gitignore ├── AI-approach-to-make-comments-actionable ├── 01-EDA-and-preprocessing-01.ipynb ├── 02-EDA-and-preprocessing-02.ipynb ├── 03-sentiment-analysis-with-VADER.ipynb ├── 04-hate-comments-detection-with-HateSonar.ipynb ├── 05-topic-modeling-with-LDA-topic-coherence.ipynb ├── 06-topic-modeling-with-LDA-t-SNE.ipynb ├── 07-text-summarization-with-TextRank.ipynb ├── 08-dynamic-topic-modeling-with-BERTopic.ipynb └── README.md ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── LICENSE.md ├── README.md ├── VirtualTryOn ├── README.md ├── Stage1.ipynb ├── Stage2.ipynb ├── Stage3.ipynb └── TryonFinalStage.ipynb ├── _config.yml ├── anomaly-detection └── iqr-based │ └── hive │ ├── README.md │ ├── create_table.sql │ └── find_anomaly_using_iqr.sql ├── churn-in-telecom-sector ├── README.md ├── churn-in-telecom-sector-multiple-models.ipynb └── churn-prediction-result.png ├── content-based-image-retrieval-system ├── README.md └── cbir.ipynb ├── credit-card-fraud-detection ├── README.md ├── credit-card-fraud-detection.ipynb └── credit-card.png ├── credit-loan-prediction ├── README.md ├── loan_prediction.ipynb └── loan_prediction.png ├── credit-score ├── README.md ├── credit-score.ipynb └── my_submission_KNN.csv ├── crowd-counting ├── README.md └── crowd-counting.ipynb ├── fake-news-detection ├── README.md ├── data │ └── liar_dataset │ │ ├── README │ │ ├── Untitled.ipynb │ │ ├── Untitled1.ipynb │ │ ├── test.tsv │ │ ├── train.tsv │ │ └── valid.tsv ├── fake-new-detection-model.ipynb └── fake-news-prediction-cnn.png ├── kavach ├── .expo-shared │ └── assets.json ├── .gitignore ├── App.js ├── app.json ├── assets │ ├── deploy.prototxt.txt │ ├── icon.png │ ├── mask_mobile_net.h5 │ ├── splash.png │ └── tfjs.jpg └── package.json ├── market-basket-analysis ├── association_rule_mining.ipynb └── input.csv ├── ml-ai-community-intro.gif ├── ml-ai-community.png ├── ml-ai.gif ├── mobile-price-range-classification ├── 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