NicolasChagnet

NicolasChagnet's Stars

• microsoft/Data-Science-For-Beginners

  10 Weeks, 20 Lessons, Data Science for All!

  Language:Jupyter Notebook29.1k5181186k

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24.4k937734.6k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22.8k5102448.8k

• jpmorganchase/python-training

  Python training for business analysts and traders

  Language:Jupyter Notebook8.8k278141.5k

• rhiever/Data-Analysis-and-Machine-Learning-Projects

  Repository of teaching materials, code, and data for my data analysis and machine learning projects.

  Language:Jupyter Notebook6.3k337302.1k

• aaronwangy/Data-Science-Cheatsheet

  A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

  Language:TeX5.1k1539731

• andresvourakis/data-scientist-handbook

  Curated Data Science resources (Free & Paid) to help aspiring and experienced data scientists learn, grow, and advance their careers.

  1.2k260119

• e10v/tea-tasting

  A Python package for the statistical analysis of A/B tests.

  Language:Python2903210

• jalajthanaki/credit-risk-modelling

  Credit Risk analysis by using Python and ML

  Language:Jupyter Notebook155181116

• finlytics-hub/credit_risk_model

  A comprehensive credit risk model and scorecard using data from Lending Club

  Language:Jupyter Notebook1371379

• djbolder/credit-risk-modelling

  Credit-Risk Modelling Libraries

  Language:Python11612673

• FrancoisPorcher/awesome-ai-tutorials

  The best collection of AI tutorials to make you a boss of Data Science!

  Language:Python881320

• vishnukanduri/Credit-Risk-Modeling-in-Python

  Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.

  Language:Jupyter Notebook884136

• myarist/Data-Science-Learning-Path

  The Learning Path and Comprehensive List of Materials from Data Science

  Language:Python472010

• btelwy/awesome-romhacking

  An awesome list of epic resources related to romhacking for various games and consoles.

  28101

• alardosa/credit-risk-modeling-in-python

  Language:Jupyter Notebook10102

• aalepere/IRB

  The Internal Ratings-Based Approach

  Language:Jupyter Notebook8102

• gfluz94/credit-risk-modeling

  This repository aims at building a packaged solution for credit risk assessment. The main idea is, in accordance to Basel II, develop models for the A-IRB approach - in other words, internally estimating probability of default (PD), loss given default (LGD) and exposure at default (EAD), in order to compute expected loss (EL).

  Language:Jupyter Notebook5100

• hermabr/jupynava.nvim

  Merge Jupyter Notebook's power with Neovim's efficiency. A sleek extension for coding, visualizing, and exploring data in Python, right within Neovim. Experience a seamless, productive workflow.

  Language:Lua3100

• NicolasChagnet/energy-demand-forecast

  Forecast of energy demand in France with periodic re-training.

  Language:HTML2200

• NicolasChagnet/arxiv-recommendations

  Contains a content-based recommendation system of scraped arXiv articles.

  Language:Python1200

• NicolasChagnet/arxiv-scanner-flask

  Flask-based application scrapping the latest scientific preprint from arXiv.org, with a keyword-based filter.

  Language:Python1101

• NicolasChagnet/crop-recommendation

  Crop recommendation project based on a dataset from Kaggle and using estimators from sci-kit learn. Example of dockerized workflow.

  Language:HTML1100

• NicolasChagnet/data-science-your-way

  Following a tutorial on data science

  Language:Jupyter Notebook1100

• NicolasChagnet/formula1

  Analysis and visualization of Formula 1 data in the form of an interactive dashboard.

  Language:Python1100

• NicolasChagnet/hangman-rust

  A basic rust implementation of the classic hangman game

  Language:Rust1100

• NicolasChagnet/inspiretools

  Python package to auto-generate bibliographies pulling the bibtex data from Inspire

  Language:Python100

• NicolasChagnet/kaggle-datasets-analysis

  Various examples of exploratory data analysis and target prediction based on Kaggle datasets and competitions.

  Language:Jupyter Notebook110

• NicolasChagnet/pokemon-team-optimizer

  This project is about finding optimal Pokemon teams using optimization solvers.

  Language:Python1100

• NicolasChagnet/url-shortener

  A simple url shortener server written in Rust using actix web and a Mongodb database

  Language:Rust110