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This is an introductory guide on probability. It explains random variables, binomial distribution, z-score, central limit theorem & many more with examples
This guide explains inferential statistics for data science in simple and practical manner. This includes t-tests, hypothesis testing, ANOVA & Regression
Explore questions on Deep Learning which every data scientist should know. Answer these questions on neural networks and deep learning.
This is a learning plan for beginners in data science for 2017. Learn machine learning, deep learning & data science using this plan to get your first job.
This learning plan is for people transitioning their career in analytics and data science. Learn machine learning & data science along with real life cases.
This plan is for people with basic knowledge of machine learning / deep learning. Assess your skills & plan your data science & Big Data learning for 2017
This article describes how machine learning can be used for understanding customer complaints.It has been explained with the help of examples & codes
Get a detailed introduction to Scala. Obtain hands-on knowledge on Scala using Apache Spark with Black Friday Problem Statement
Explore PCA and t-SNE, their roles in dimensionality reduction, implementation details, use cases, and comparisons with other algorithms.
This is a story of Karthikeyan Sankaran who transitioned his career into data science & analytics from IT. He has shared his learning & approach
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