CHAMI Soufiane's starred repositories
pandas_exercises
Practice your pandas skills!
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
data-science-interviews
Data science interview questions and answers
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
approachingalmost
Approaching (Almost) Any Machine Learning Problem
ml-workspace
đź› All-in-one web-based IDE specialized for machine learning and data science.
dash-sample-apps
Open-source demos hosted on Dash Gallery
ml-surveys
đź“‹ Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
modern-apis-with-fastapi
Course demos and handouts for our Modern APIs with FastAPI course.
scrape-linkedin-selenium
`scrape_linkedin` is a python package that allows you to scrape personal LinkedIn profiles & company pages - turning the data into structured json.
Cracking-the-Data-Science-Interview
Cracking the Data Science Interview
vscode-base16-term
Base16 Terminal Colors for Visual Studio Code
dash-uploader
The alternative upload component for python Dash applications.
sagemaker-ml-workflow-with-apache-airflow
This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airflow.
aws-lambda-docker-serverless-inference
Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
python-data-science-project
Template repository for a Python 3-based (data) science project
discreETLy
ETLy is an add-on dashboard service on top of Apache Airflow.
linkedin-email-extractor
Extracts the email from the user's description using Python & Google Custom Search Engine Api
kaggle-m5-forecasting-accuracy-4th-place
[kaggle] M5 Forecasting - Accuracy (4th place solution)
Linkedin_Google_ProfileScraper
Web Scraper via google of linkedin profiles as a tool for recruiters
StoreItemDemand
(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
Store-Item-Demand-Forecasting-Challenge
Kaggle competition: Store-Item-Demand-Forecasting-Challenge (time series forecasting)
LH_interview
Take-home interview code repo for Data Scientist Intern of Summer 2018 at LendingHome.