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Learning new stuff
🎯
Learning new stuff

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@imaginehuge @Delhi-Hacksteam @UPIRF

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  1. Bias-Toxic-Classification Bias-Toxic-Classification Public

    Bert Classification on Jigsaw Data with Gender as a basic genre, followed by identifying Bias in Toxic Classification.

    Jupyter Notebook 4

  2. Customer-Segmentation-using-LightGBM-Classifier Customer-Segmentation-using-LightGBM-Classifier Public

    It predicts the right group of new customers by Segmentation among A, B, C, and D segments using LightGBM Classifier.

    Jupyter Notebook 1

  3. Movie-Recommendation-on-IMDB-Dataset Movie-Recommendation-on-IMDB-Dataset Public

    Movie Recommendation - provides user with the top choices of movie he/she wanted to watch based on their current choice

    Jupyter Notebook 2 1

  4. News-Suggestor News-Suggestor Public

    News Suggestor is a subclass of information filtering system that seeks to predict preference a user would give to a news article based on his current choice.

    Jupyter Notebook 2

  5. House-Price-Prediction House-Price-Prediction Public

    Model deployment with flask framework, using Linear Regression to predict the sales value in the third month using rate of interest and sales of the first two months.

    CSS 3 1

  6. Lane-Line-Detection-with-CV Lane-Line-Detection-with-CV Public

    Detect lane lines markings on road using OpenCV Image Processing, Canny Edge Detection, Frame Masking and Hough Transform.

    Jupyter Notebook