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  1. Repository of my programming assignments from the Deep Learning.ai specialization course taught by the Dr. Andrew Ng. Python with Keras

    Jupyter Notebook

  2. Tutorials on data science/machine learning using Python with a life-science perspective. When I started learning programming and machine learning, most of the examples were from other fields like I…

    Jupyter Notebook

  3. Popular Supervised/Unsupervised and ANN in Python. Updating....

    Jupyter Notebook

  4. Python code for analysis of the 1000Genomes dataset in fulfillment of my graduate level Biostatistics course.

    Jupyter Notebook

  5. Matlab/Octave implementation of supervised and unsupervised machine learning algorithms I learnt from the course Machine Learning taught by the machine learning godfather Andrew Ng.

    MATLAB

  6. Python implementation of biosequence analysis algorithms I learnt in the amazing online course Algorithms for DNA Sequencing by John's Hopkin via Coursera

    Python

29 contributions in the last year

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February - March 2019

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January 2019

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