Bio: Supratim Haldar
Collection of my practice and project work in Data Science and Machine Learning. The repository is organized as follows:
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statistics: Implementations of core concepts of statistics using Python 3.
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machine-learning: My implementations of core machine learning algorithms using only Python 3 and Numpy.
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ml-using-libraries: Understanding of core machine learning algorithms using standard libraries, such as scikit-learn, nltk etc.
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deep-learning: My implementations of deep neural networks using only Python 3 and Numpy.
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project-playground: Solutions to real world use cases using data collected from public repositories.
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web-scraping: Projects to collect data from web using scraping methods.
- An analysis of traffic and accidents on roads of Bangalore
- An analysis of customer churn in the telco industry
- Analysis of chances of survival of passengers on board Titanic ship and prediction of chances of survival of the passengers
- Detecting hate comments in Tweets
- Anomaly Detection: An implementation (from scratch) to detect server hardware performance anomalies
- Movie Recommender System using Collaborative Filtering from scratch: recommend movies to user based on taste of other similar users
- Movie Recommender System using Content-Based Filtering from scratch: recommend movies based on plot, cast and crew, genres and keywords