All Projects → datascienceinc → Oreilly Intro To Predictive Clv

datascienceinc / Oreilly Intro To Predictive Clv

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Oreilly Intro To Predictive Clv

An Introduction To Statistical Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Stars: ✭ 1,843 (+1104.58%)
Mutual labels:  jupyter-notebook, datascience
Python Clustering Exercises
Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn
Stars: ✭ 153 (+0%)
Mutual labels:  jupyter-notebook, notebook
Pbpython
Code, Notebooks and Examples from Practical Business Python
Stars: ✭ 1,724 (+1026.8%)
Mutual labels:  jupyter-notebook, datascience
Prml
PRML algorithms implemented in Python
Stars: ✭ 10,206 (+6570.59%)
Mutual labels:  jupyter-notebook, notebook
Data science blogs
A repository to keep track of all the code that I end up writing for my blog posts.
Stars: ✭ 139 (-9.15%)
Mutual labels:  jupyter-notebook, datascience
Deep Ml Meetups
A central repository for all my projects
Stars: ✭ 108 (-29.41%)
Mutual labels:  jupyter-notebook, datascience
Ipyexperiments
jupyter/ipython experiment containers for GPU and general RAM re-use
Stars: ✭ 128 (-16.34%)
Mutual labels:  jupyter-notebook, notebook
Starcraft2 Replay Analysis
A jupyter notebook that provides analysis for StarCraft 2 replays
Stars: ✭ 90 (-41.18%)
Mutual labels:  jupyter-notebook, notebook
Practical Machine Learning With Python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Stars: ✭ 1,868 (+1120.92%)
Mutual labels:  jupyter-notebook, notebook
Image classifier
CNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (-9.15%)
Mutual labels:  jupyter-notebook, notebook
Spark Py Notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 1,338 (+774.51%)
Mutual labels:  jupyter-notebook, notebook
Ipyplot
IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.
Stars: ✭ 152 (-0.65%)
Mutual labels:  jupyter-notebook, notebook
Python Thenotheoryguide
Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.
Stars: ✭ 95 (-37.91%)
Mutual labels:  jupyter-notebook, notebook
Spark R Notebooks
R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (-28.76%)
Mutual labels:  jupyter-notebook, notebook
Satellite imagery python
Sample sample scripts and notebooks on processing satellite imagery
Stars: ✭ 93 (-39.22%)
Mutual labels:  jupyter-notebook, notebook
The Data Science Workshop
A New, Interactive Approach to Learning Data Science
Stars: ✭ 126 (-17.65%)
Mutual labels:  jupyter-notebook, datascience
Jupytemplate
Templates for jupyter notebooks
Stars: ✭ 85 (-44.44%)
Mutual labels:  jupyter-notebook, notebook
Repo2docker Action
GitHub Action for repo2docker
Stars: ✭ 88 (-42.48%)
Mutual labels:  jupyter-notebook, datascience
Fastdoc
Create publication-quality books from Jupyter notebooks
Stars: ✭ 134 (-12.42%)
Mutual labels:  jupyter-notebook, notebook
Face generator
DCGAN face generator 🧑.
Stars: ✭ 146 (-4.58%)
Mutual labels:  jupyter-notebook, notebook

oreilly-intro-to-predictive-clv

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value"

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].