LearningMachineLearning

This repository is a collection of my machine learning endeavors. It will contain experiments, small and large projects, and different online courses that will show my growth overtime.

I. Free Code Camp

1.Titanic Example:

This is a simple jupyter file that contains basic tensorflow implementations of linear estimates

2.Flower Classification Example:

This is a jupyter file that contains a basic tensorflow implementation of a Dense NN classifier that can classify flowers based on the flowers measurements

3.Hidden Markov Example:

H3 This jupyter file showcases an example of how to implements a hidden markov scenario in Tensorflow

4.Neural Networks

A.Clothing Example

This Jupyter file showcases a tensorflow keras implementation of a dense neural network that can classify items of clothing

B.CNN Example:

This jupyter file showcases CNN implementations in tensorflow, as well as certain data augmentation techniques.

C.RNN Example:

This jupyter file showcases Reccurent NN implementations in tensorflow.

D.RNN Play Generator:

This jupyter file showcases a Play generator that can generate plays using a RNN made with TensorFlow

5.Machine Learning Projects:

A.RPS

This python repository is a challenge given by FCC to create a NN that can beat different algorithms in Rock Paper Scissors with a win rate of at least 60%