mmejdoubi

Amazing-Feature-Engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

aws-machine-learning-university-accelerated-tab

c9-python-getting-started

Sample code for Channel 9 Python for Beginners course

colabcode

Run VSCode (codeserver) on Google Colab or Kaggle Notebooks

COMS4995-s20

COMS W4995 Applied Machine Learning - Spring 20

cp-ia-intro-ml-2022

Notebooks pour le module "Fondamentaux du Machine Learning" de la formation Chef de Projet IA (2022)

credit_risk_model

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

Data-Science-for-Marketing-Analytics-Second-Edition

Data-Visualization

Data Visualization with Python

DataEngineeringProject

docker-fundamentals

DS_Production

e01

Home-Credit-Default-Risk-Recognition

The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.

in_SAS_

iv-and-woe-python

This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).

Learning-PySpark

Code repository for Learning PySpark by Packt

Linux-command

linux command notes

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

marjane_api

ML-API

Guide on creating an API for serving your ML model

mlflow_fraud_ecom

optbinning

Optimal binning: monotonic binning with constraints

pandas_ui

pandas_ui helps you wrangle & explore your data and create custom visualizations without digging through StackOverflow. All inside your Jupyter Notebook ( alternative to Bamboolib ).

Python-Machine-Learning

Tous les codes utilisés dans la série YouTube Python Spécial Machine Learning !

rfm-analysis-python

This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.

The-Zimnat-Insurance-Assurance-Challenge-by-ZindiWeekendz

tutorial-assets

Assets used in Cloudera Tutorials

webstep-sklearn-quickstart-2019

Scikit-learn quickstart tutorial for Webstep

XuniVerse

xverse (XuniVerse) is collection of transformers for feature engineering and feature selection