Tracking, notes and programming snippets while learning predictive analytics
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Updated
May 23, 2016 - Python
Tracking, notes and programming snippets while learning predictive analytics
Distributed Machine Learning for Bio-marker Prediction from Big Data Stream collected from Multi-modal Wearable Sensor Data
Predicting water pump functionality using a Random Forest classifier
A Dashboard which can be utilised by the Financial Analysts to analyse the market trends and news.
Using a linear regression model to predict the completion (finishing) times of 2017 Miami Marathon participants.
A New Way to Visualize the Markets (Created in 24 hours @ CalHacks)
We are trying to build a data ecosystem of a college in Bhutan called Royal Thimphu College
Predictive Analytics with TensorFlow, published by Packt
Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.
Applying Machine Learning Algorithms using R, Python, and RapidMiner
The repository contains the code for the various machine learning algorithms used to make a predictive analysis of tweets on GST in India
Neural Network for Predicting Stroke Team Performance using TensorFlow Low Level APIs
For the mini-project in our college, the theme being python, I thought of creating a code that would help me predict stock prices.
A predictive project where I found out the features that are responsible for affecting the sales of stores in Seoul, Korea. I have taken into account weather, holidays, currency exchange value as some of the important features that affect the sales. Also the distance of the store from the metro stations are also causing some stores to have more …
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…
Machine learning algorithms without the using only Numpy.
An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms
Spfy: an integrated graph database for real-time prediction of Escherichia coli phenotypes and downstream comparative analyses
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