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:
-
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
-
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.