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1. Sentiment-Analysis-using-IMDB-movies-reviews Sentiment-Analysis-using-IMDB-movies-reviews Public

   This is an NLP and Flask-based application which involves predicting the sentiments of the sentences as positive or negative. The classifier is trained on a huge dataset of IMDB movies reviews. The…

   Jupyter Notebook

2. Spotify-EDA Spotify-EDA Public

   Spotify is an extremely popular music application. This project consumes a large dataset of songs and gives various reports and trends on those songs.

   Jupyter Notebook

3. Fake-News-Classification-Deep-Learning Fake-News-Classification-Deep-Learning Public

   A Deep Learning approach of classifying the news headlines and content as Fake or Real.

   Jupyter Notebook

4. Clustering-Retail-Customers Clustering-Retail-Customers Public

   This application is for clustering and grouping customers based on their purchase history to give insights to the retail department.

   Jupyter Notebook

5. Credit-Card-Imbalanced-Dataset Credit-Card-Imbalanced-Dataset Public

   Mostly in Banking domains or credit card use cases, the data for predicting a transaction as fraudulent is extremely low due to less evidence for fraud cases resulting in an Imbalanced Dataset for …

   Jupyter Notebook

6. Optical_Character_Recognition-and-Web_Crawler Optical_Character_Recognition-and-Web_Crawler Public

   An android application where the run time clicked images by users are first processed with OpenCV, then the text is extracted from it by Tesseract (OCR mechanism), the context is found by NLP and t…

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