Main_repo_codes

This is my Git repository, mainly composed of ML/DL snippets and code in the open source community.
Most of the projects currently in this file section are taken from different aspects of ML field and job interviews assignments( those that can be shared) or other courses/ open source tweaks. In my other repos you can see contribution to private projects.
Used Libraries:
Scipy, pandas, Scikit learn, Tensorflow, Keras, numpy

Online notebooks:

Interaction Information Vs. Partial Correlation

Medium post - Update 9.4.20
Link To Notebook - Update 9.4.20

Deep learning by EPFL course (Pytorch course)

A repository containing my notebooks for the pytorch course

Different Challenges :

Japanese letters through Variational AutoEncoder - first notebook
Japanese letters through Variational AutoEncoder - second notebook
Japanese letters through Variational AutoEncoder - blog post
Spectral Clustering From Scratch - a blog post -update 15.7.18
Spectral Clustering From Scratch - update 12.7.18
Dog breed kaggle competition -temporary 30.7.18
Elipse detector - update 15.5.18
Elipse detector - a blog post
Naive Bayes classifier - Word frequency
Coins finder with opencv
Simple Random forest regressor
Finding maximum amount of diamonds-Dynamic programming

Probablistic Graphical Models

The uncanny resemblance — Probabilistic Graphical Models and Machine Learning

OpenCV 101: A Practical Guide to the Open Computer Vision Library

OpenCV session 1
OpenCV session 2
OpenCV session 3
OpenCV session 4

Class session 1
Class session 2
Class session 3
Class session 4

Anderw NG coursera Machine Learning

Exercise 1 - Linear Regression and cost function visualization
Exercise 2 - Logistic regression, and polynomial features for non linear decision boundary
Exercise 3 -Multi Class classification for hand written letters
Exercise 4 -3 layers neural network with feedforward and backpropagation for hand written letters

Deeplearning.ai

Hyperparameters tuning, regularization and optimization

Regularziation and gradient checking - PA 1

Convlutional neural networks

Convolutional Neural Networks: Step by Step - PA 1
Convolutional Neural Networks: Application - PA 2 - updated 15.3.18
Convolutional Neural Networks: YOLO algorithm - PA 3

Kaggle competitions

Titanic notebook (updated 28.12.17)
Housing prices Notebook (Updated 5.1.18)

Udacity Deep learning course:

Udacity Deep learning - assignment 1
Udacity Deep learning - assignment 2
Udacity Deep learning - assignment 3 regularization using l2 norm
Udacity Deep learning - assignment 4- convolutions- CNN
added here the exponential learning decay as well

assignment 5 will be coming soon...