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I am teaching a Learning ML workshop for some folks @ Belong.co. Creating this repo to organise the course material.

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Learning_ML

I am teaching a Learning ML workshop for some people @ Belong.co. Creating this repo to organise the course material.

I have implemented some basic machine learning and neural network Models from scratch in python and compared it with sklearn's implementation:

Models

  • Simple Linear Regression Notebook

  • Simple Linear Regression with Stochastic Gradient Descent Notebook

  • Multiple Linear Regression Notebook

  • Multiple Linear Regression with Stochastic Gradient Descent Notebook

  • Logistic Regression Notebook

  • Logistic Regression with Stochastic Gradient Descent Notebook

  • Naive Bayes Classifier Bernoulli Notebook

  • Naive Bayes Classifier Multinomial Notebook

  • Hidden Markov model Notebook

Neural_Networks

  • Fizz Buzz in keras with Relu Notebook

  • Fizz Buzz in keras with LeakyReLU and Dropout Notebook

  • Fizz Buzz in Tensorflow Notebook

  • Text classficiation model in keras Notebook

Working on more models to be put here, Reinforcement learning and Encoder decoder models.

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I am teaching a Learning ML workshop for some folks @ Belong.co. Creating this repo to organise the course material.

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