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  1. Key-Frames-Extraction-from-Video Key-Frames-Extraction-from-Video Public

    Using Color Histogram, SVD and Dynamic Clustering Method obtained Key-Frames from a video. This analysis can be used to identify frames which make a shot. The code is well documented.

    Jupyter Notebook 21 9

  2. Sentiment-Analysis-of-Twitter-Data-using-DTM-SVD-and-ML Sentiment-Analysis-of-Twitter-Data-using-DTM-SVD-and-ML Public

    The challenge is to obtain Ten-fold cross validation auc score more than 0.803. The approach i have taken is to first clean the tweets, spelling correction, lemmatization, stop words removal, creat…

    Jupyter Notebook 1

  3. Practical-Machine-Learning-Course-Project Practical-Machine-Learning-Course-Project Public

    Course Project-Practical Machine learning

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  4. -AI-CL-688-Course-Project -AI-CL-688-Course-Project Public

    This contains codes for course project

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  5. Creating-a-Credit-Scoring-Model-to-obtain-the-probability-of-default Creating-a-Credit-Scoring-Model-to-obtain-the-probability-of-default Public

    We have baseline and loan performance information for approximately 6000 loans. The target variable (BAD) is a binary variable indicating whether an applicant eventually defaulted or was seriously …

  6. ML-Model-to-identify-Churning-Customer- ML-Model-to-identify-Churning-Customer- Public

    The challenge is to obtain Ten-fold Cross Validation AUC Score above 0.893, given telecom data with 'Churn' as target variable.

    R