BenseddikM's repositories
LearnScala
My solutions of the coursera Mooc : Fundamentals of Scala programming.
analyse_sncf_trains_data
Notebook of train delays analysis for SNCF.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
bandit_algorithms_implementation
Implementation of Bandit Algorithms with different strategies. Included some literature from Telecom ParisTech's courses (in French).
deep_learning_hackathon
Hackathon solution for morpho's challenge on classifying face images for people's gender (male/female/not recognised).
ExoPlanetsClassification
Practical work for Telecom ParisTech's Big Data program. Classification of Exo Planets using Spark/Logistic Regression and Lasso Penalisation.
graph_mining
Set of graph mining tools using Networkx, and some literature (courses) from Telecom ParisTech on the subject (written in french).
kaggleProjects
Some Kaggle Kernels.
transilien_visualization
Visualisation Demo for Trains in Île-De-France Area.
us_election
Project of Data Visualisation Dashboard for the 2016 US elections.
mckinsey_data_hackathon
My solution for the Analytics Vidhya data hackathon of Mckinsey Challenge on the 18/11/2017.
ml_predict_train_delays
Jupyter Notebook of Regression models to predict train delays
my-portfolio
Code for my resume/portfolio website.
OTML_DS3_2018
Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
python_scripts_data_crawling
My repository for data crawling / API Scripts and Dataviz Projects
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
reco-gym
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
Reinforcement-Learning-Notebooks
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
TakeHomeDataChallenges
My solution to the book <A collection of Data Science Take-home Challenges>
teads_challenge
My work on the teads challenge.
Transilien-Api-Scraper
Script made to scrap data from SNCF's Transilien API, and save it in a MongoDB.
twitter_sentiment_analysis
Report Notebook for Telecom ParisTech's session on sentiment Analysis using NLTK
Uber-DS-Challenge
Uber provided Data Science take home
zero-to-jupyterhub-k8s
Helm Chart & Documentation for deploying JupyterHub on Kubernetes