A python 2 container runtime for processing data science tasks and workloads (used by https://github.com/jay-johnson/sci-pype for distributed analysis)
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Updated
Mar 13, 2017 - Python
A python 2 container runtime for processing data science tasks and workloads (used by https://github.com/jay-johnson/sci-pype for distributed analysis)
📧 💰 Python + Machine Learning / I analyse the Enron Scandal data and try to predict those who were involved in the Enron fraud based on their financial data
A command line tool to predict the like count of a YouTube video.
Traffic Prediction in PaddlePaddle (ASC17 Deep Learning Application)
a collection of sample data analysis
Hit-Savvy detection and Success prediction
Project aiming to determine the best moment for a customer to fuel his car.
Predict murders in Chicago
Bitcoin price change predictor.
Applying Machine Learning Algorithms using R, Python, and RapidMiner
Recommender System using movielens 100k dataset
Blood donation has been around for a long time. The first successful recorded transfusion was between two dogs in 1665, and the first medical use of human blood in a transfusion occurred in 1818. Even today, donated blood remains a critical resource during emergencies. More info on : https://www.drivendata.org/competitions/2/warm-up-predict-bloo…
This was my Group Project during Python Summer Training at Globsyn Finishing School ' 17. This project was awarded as the Best Project among all the Participating Groups.
Wine-quality has been predicted through supervised learning using regression and classification models.
Predicting Restaurant Health using Yelp data and Government Inspections
Using Regression to predict release year of a song from Audio Features
Kaggle project. Top 17% in the competition. Predictive Analysis - predicting taxi fare using past fare rate, New-York geography and taxi fare rules.
Python package to calculate suitabilities of archaeological site locations and determine the underlying factors of their distribution
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