mmejdoubi Goto Github PK

my-projects

nips-2018-automl-challenge

The final code submission of Meta_Learners, which won the second place in NIPS 2018 AutoML Challenge

online_retail

open-solution-home-credit

Open solution to the Home Credit Default Risk challenge :house_with_garden:

optbinning

Optimal binning: monotonic binning with constraints

pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

pandas_exercises

Practice your pandas skills!

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 ).

pandasda

Pandas tutorial on Weather data for San Francisco Bay Area

practicalai

A practical approach to learning machine learning.

predicting_boston_housing

Using Boston property value records to create a prediction model

predictive-analytics-sas-2017_spring

Dr. Mike Grigsby's class and a real-world project, I use LatentGOLD to do segmentation, use SAS to do OLS, Logit, price elasticity, and many other analytics. A 10-minute presentation is given finally.

predictive_ltv_analysis

Supervised Prediction of High Value Retail E-Commerce Customers Using Survival and LTV Analyses

production-data-science

Production Data Science: a workflow for collaborative data science aimed at production

provide-banks-with-precision-marketing-solutions-provide-banks-with-precision-marketing-solutions

「二分类算法」提供银行精准营销解决方案 | 练习赛-0.93984283

public-amazon-crawler

pycon-2018-tutorial

Using pandas for Better (and Worse) Data Science

python

DSSG basic Python sessions

python-machine-learning

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

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonforsasusers

An Introduction to Python for SAS Users

real-world-machine-learning

Code accompanying the Real-World Machine Learning book

rfm-analysis

Python script (and IPython notebook) to perform RFM analysis from customer purchase history data

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.

rtfap2

Real-Time Fraud Analysis and Prevention Using Kafka, Spark and Cassandra with a nodejs ReST Server

sample-churn-predictor

Sample for building a churn prediction model with GraphLab Create

sas-to-python

Translate SAS to pandas

scorecardpy

Scorecard Development in python, 评分卡

sdsj-automl

Sberbank Data Science Jorney Auto-ML competition

single-view-demo

Single view demo