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Keras is a high level library used to build neural network models. This tutorial focuses on its application and ways to solve problems with neural networks.
Ultimate Student Hunt - a machine learning competition challenged students on real life machine learning problem & data science community
In this article we will learn about spark transformations and actions on RDD. These include map, filter, groupby, sample, set, max, min, sum etc on RDDs.
Learn when to apply TensorFlow neural networks, solve neural network problems, understand image data, and compare TensorFlow with other libraries.
This article comprises of free books, ipython notebooks, tutorials on github. This is useful for beginners in machine learning, data science
A beginners guide to shelf space optimization in retail using linear programming, explained with examples using simplex method, python & greedy algorithms.
This article provides questions and answers to skill test "Data Science in Python". Topics include Pandas, exploratory data analysis, regular expressions
This article provides a comprehensive introduction to Apache Spark, its benefits, APIs, RDDs, Dataframes & solves a machine learning problem
An introduction to deep learning in python. In this article learn about python libraries, additional resources and a complete guide on Deep Learning.
Learn about topic modeling and its applications in natural language processing to uncover valuable trends from large volumes of text.
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