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Comprehensive & Practical Inferential Statistics Guide for data science
This guide explains inferential statistics for data science in simple and practical manner. This includes t-tests, hypothesis testing, ANOVA & Regression
NSS 06 Mar, 2025
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Infographic – Learning Plan 2017 for beginners in data science
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.
Kunal Jain 28 Jan, 2017
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19 MOOCs on Mathematics & Statistics for Data Science & Machine Learning
Maths & Statistics are founding steps for data science & machine learning. List of open courses from edX, Coursera to learn Linear Algebra, Regression, Stat
Analytics Vidhya 09 Jan, 2017
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Skilltest Statistics II – Solutions
The solution of skilltest statistics II with detailed explaination and solution. Further reading has also been added in the article to enhance your knowledge.
Analytics Vidhya 13 Sep, 2016
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Solutions for Skilltest in Statistics Revealed
This is a solution for skilltest assessment challenged in Statistics which involved answering basic statistics questions.
Kunal Jain 10 Nov, 2016
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Practicing Machine Learning Techniques in R with MLR Package
This tutorial helps beginners to get started building machine learning models in R. Learn about machine learning techniques in R with the MLR package.
Analytics Vidhya 26 Aug, 2021
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Power of Bayesian Statistics & Probability | Data Analysis (Updated 2025)
Learn how Bayesian Statistics can help you solve business problems with data analysis. Enhance your skills in machine learning & data science
NSS 05 Dec, 2024
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Quick Guide to Build a Recommendation Engine in Python & R
Building recommendation engines in python and R, learn building one using graphlab library in the field of data science and machine learning.
Aarshay Jain 25 Oct, 2024
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How to perform feature selection (i.e. pick important variables) using Boruta Package in R ?
Boruta package is a wrapper algorithm around random forest for important variables and used to perform feature selection in R for data science.
Guest Blog 26 Aug, 2021
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Principal Component Analysis
Learn how Principal Component Analysis (PCA) can help you overcome challenges in data science projects with large, correlated datasets. Read Now!
Himanshi Singh 04 Apr, 2025
