Pinned Repositories
Airbnb-Reviews-Dataset-Analysis
Exploratory Analysis, Statistical Feature Analysis and Predictor Selection for an Airbnb Reviews Dataset
causality-course-coursera
A Crash Course in Causality: Inferring Causal Effects from Observational Data - Coursera
discreteVAE
Deep Learning for Natural Language Processing (NLP) using Variational Autoencoders (VAE)
disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
PH525.1x-Statistics-and-R-for-the-Life-Sciences-HarvardX
PH525.1x: Statistics and R for the Life Sciences HarvardX solutions
PH525.2x-Introduction-to-Linear-Models-and-Matrix-Algebra-HarvardX
PH525.2x Introduction to Linear Models and Matrix Algebra
PH525.3x-Statistical-Inference-and-Modeling-for-High-throughput-Experiments-HarvardX
PH525.3x: Statistical Inference and Modeling for High-throughput Experiments solutions
probabilistic-graphical-models-PGM-representation-coursera-daphne-koller
These are my solutions for the programming assignments of the Coursera course Probabilistic Graphical Models Part 1: Representation by Daphne Koller.
Yelp-Restaurant-Review-Analysis
Project: Text Mining and Semantic Analysis for a Yelp Restaurant Reviews Dataset
mcharrak's Repositories
mcharrak/discreteVAE
Deep Learning for Natural Language Processing (NLP) using Variational Autoencoders (VAE)
mcharrak/PH525.1x-Statistics-and-R-for-the-Life-Sciences-HarvardX
PH525.1x: Statistics and R for the Life Sciences HarvardX solutions
mcharrak/PH525.2x-Introduction-to-Linear-Models-and-Matrix-Algebra-HarvardX
PH525.2x Introduction to Linear Models and Matrix Algebra
mcharrak/probabilistic-graphical-models-PGM-representation-coursera-daphne-koller
These are my solutions for the programming assignments of the Coursera course Probabilistic Graphical Models Part 1: Representation by Daphne Koller.
mcharrak/Airbnb-Reviews-Dataset-Analysis
Exploratory Analysis, Statistical Feature Analysis and Predictor Selection for an Airbnb Reviews Dataset
mcharrak/causality-course-coursera
A Crash Course in Causality: Inferring Causal Effects from Observational Data - Coursera
mcharrak/PH525.3x-Statistical-Inference-and-Modeling-for-High-throughput-Experiments-HarvardX
PH525.3x: Statistical Inference and Modeling for High-throughput Experiments solutions
mcharrak/probabilistic-graphical-models-PGM-inference-coursera-daphne-koller
These are my solutions for the programming assignments of the Coursera course Probabilistic Graphical Models Part 2: Learning by Daphne Koller.
mcharrak/probabilistic-graphical-models-PGM-learning-coursera-daphne-koller
These are my solutions for the programming assignments of the Coursera course Probabilistic Graphical Models Part 3: Learning by Daphne Koller.
mcharrak/Yelp-Restaurant-Review-Analysis
Project: Text Mining and Semantic Analysis for a Yelp Restaurant Reviews Dataset
mcharrak/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
mcharrak/bicycle
Bicycle: Intervention-Based Causal Discovery with Cycles
mcharrak/ETIA
Automated Causal Discovery library in python
mcharrak/github-slideshow
A robot powered training repository :robot:
mcharrak/machine-learning-coursera-andrew-ng
Coursera course Machine Learning by Andrew Ng - Programming Assignments - Matlab
mcharrak/mcharrak.github.io
A Jekyll version of the "Prologue" theme by HTML5 UP
mcharrak/Multimedia-Indexing-and-Retrieval-Using-Machine-Learning
mcharrak/optax
Optax is a gradient processing and optimization library for JAX.