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A framework to quickly build a predictive model using python in under 10 minutes & create a benchmark solution for data science competitions.
Learn how to build a predictive model. This article teaches ways to build predictive models by saving time during data modeling, data treatment analysis.
Python and R cheat sheets for machine learning algorithms. It contains codes on data science topics, decision trees, random forest, gradient boost, k means.
This article has the best presentations on slideshare in data science, machine learning, deep learning, neural network and data science.
This article explains using Random Forest, machine learning algorithm in Python and R using a practice problem. and the algorithm behind it
Bokeh is a Python library for interactive visualization that targets web browsers for representation.
Using python, here's a data scientist hack to automate the search for meetup groups in local area using multiple python libraries and API
Regression techniques are the popular statistical techniques used for predictive modeling. Learn common types of regression techniques.
List of discussions from Reddit on machine learning, python, neural networks, artificial intelligence, bigdata, statistics, tutorials are shown
A tutorial to learn about the basics of ensemble learning and various ensemble learning techniques to improvise stability and predictive power of the model.
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