Hi, welcome to my Github page.
I enjoy exploring my areas of interest doing projects that both teach me new skills and are useful, too.
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Linux with Open Source tools
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Python with OOAD, Design Patterns
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Data Science/ML: EDA, Feature Engineering/Selection, Modelling/Hyperparameter Tuning/Evaluation
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Deep Learning: ANN/CNN/LSTM applications, Time Series
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Deep Learning: NLP(Classification, Sentiment Analysis, Topic Modelling, Summarization, Chatbots)
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Data Science/ML/DL libraries: sklearn, keras, spacy, numpy, pandas, plotting
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Pandoc/Latex, Git, Github, Docker, technical blogging with videos and podcasts
๐น Briefly an extractive multilingual text summarizer.
๐น Health-pred ML-based prediction of diabetic and cardiovascular conditions with Flask deployment.
๐น Topic modelling Performance of topic models: man vs. machine
๐น Are customer ratings reliable? The inconsistency across ratings and reviews
๐น ML from Scratch an attempt to implement ML algorithms from scratch.
๐น Algorithms Cutaway an animated cutaway of searching and sorting algorithms.
๐น Churn Prediction using Keras/ANN with Flask deployment.
๐น Various Kaggle Data Science/ML/DL project notebooks covering a range of datasets and techniques.