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affiliate_networks_data

Retrieve, merge and clean data from the different affiliate networks

algorithms

Minimal examples of data structures and algorithms in Python

automation_airflow

automation of report retrieval through Apache Airflow

ay_bio

case_study_churn_prediction

The aim of this project is to predict the churn rate from a set of raw data.

case_study_w4d5

The goal of this repo is to predict the sale price of a particular piece of heavy equipment at auction based on it's usage, equipment type, and configuration. The data is sourced from auction result postings and includes information on usage and equipment configurations.

checksum

Check md5 sum of downloaded files using python's hashlib library

clear-lambda-storage

Removes old versions of Lambda functions

d3_responsive_templates

Collection of simple D3 templates with data provided by flask/py

dat3

General Assembly's Data Science course in Washington, DC

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data_pipeline_templates

Templates initiating a data pipeline to customise depending on needs

deep_learning

doc2audiobook

Convert text documents to high fidelity audio(books).

dsi-cross-validated-readings

Selected questions and answers from stats.stackexchange.com

ebook_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

etl_lih

f1_2017

This project aims to predict the fastest and average laps of a formula one driver for the season 2017.

f1datajunkie

Analysis and visualisation of F1 related data

flight_app

fomc-statements-minutes-scraper

A convenient class for scraping all the existing FOMC meeting statements

fraud_detection_testing

generative_art

A collection of my generative artwork, mostly with Processing in Python mode

get_push_facebook_costs

Retrieve facebook spendings via the marketing API and push it to Google Analytics

graph_examples_jupyter_notebook

Some simple examples of graph with jupyter nb + matplotlib / seaborn

gridsearch_helper

Create the hyperparameters' dictionary automatically

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hyperopt-sklearn

Hyper-parameter optimization for sklearn

kaggle-avazu-ctr

Kaggle competition Click-Through Rate Prediction (Avazu).

learning-spark

Example code from Learning Spark book