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computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

course-resources-ml-with-experts-budgets

Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.

customer_churn_analysis

In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important to predict the users likely to churn from business relationship and the factors affecting the customer decisions. We are going to show how logistic regression model using R can be used to identify the customer churn in the telecom dataset.

data-mining

python data mining & analysis

datamining

Data Mining A-Z (In Progress)

datascience

datascience-1

A Python library for introductory data science

db-ebook

dm-ebook

ds-projects

DS Projects - Self study

foundations-for-analytics-with-python

introduction_to_r

R tutorial notebooks.

ipython-teaching-notebooks

IPython notebooks from Berian's teaching (Python bootcamp, AY250 @ UC Berkeley, ...)

kaggle

Kaggle competition code

learning-data-mining-with-python

Code repo for Learning Data Mining with Python, published by Packt Publishing

learning_diary

A track of things I learn on a day to day basis using various languages

mapr-sparkml-churn

mastering-python-data-analysis

Mastering-Python-Data-Analysis

mlatimperial2017

Materials for the course of machine learning at Imperial College organized by Yandex SDA

mmd

Python scripts and datasets used in the Course: "Data Mining and Modelling" from http://emap.fgv.br/

notechain

A daily diary of learning data science skills.

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

practical_dl

Fork of Lempitsky DL for HSE master students.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pydata-cookbook

PyData Cookbook Project

pyspark-churn-prediction

Churn Prediction with PySpark using MLlib and ML Packages

python-and-spark-for-big-data-master

Code along with the course 'Spark and Python for Big Data with PySpark' on Udemy

python-bootcamp

Python Bootcamp docs and lectures (UC Berkeley)

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource