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Machine Learning and Data Science Scritps

Scripts written using Python for analyzing datasets and implementing following ML algorithms:

  1. Linear Regression
  2. Support Vector Machines
  3. Neural Networks (from scratch) with Gradient Descent (and different optimization techniques)
  4. Convolutional Neural Networks

For Machine Learning, Tensorflow and Keras are used for implementing different algorithms. For Data Analysis, these python scripts uses libraries namely Numpy, Pandas and Matplotlib to explore various datasets available.

Data set used:

  1. Sex-ratio.py : Census (https://www.kaggle.com/bazuka/census2001)
  2. CNN.py: MNIST dataset preloaded in Keras / Tensorflow
  3. gradientDescent.py: Fashion_MNIST dataset