Tutorials for Data Science , Machine Learning, AI & Big Data
Tutorials for Data Science , Machine Learning, AI & Big Data – Analytics
In this tutorial we will discuss about structure of Linear regression and how a Linear regression Equation is constructed for 2 variable model.
Continue reading “Tutorial : Linear Regression Construct”
This Tutorial talks about basics of Linear regression by discussing in depth about the concept of Linearity and Which type of linearity is desirable.
Continue reading “Tutorial : Concept of Linearity in Linear Regression”
The Tutorial / Article talks about Future trends in Retail Analytics and touches upon how customer data in combination with data science can help and how technology can help in finding solutions to few fundamental problems in Retail Industry.
This tutorial talks about the importance of Testing set and Validation sets for predictive analytic algorithms and different techniques which can be wisely used to get a reliable measure of accuracy.
Continue reading “Machine Learning : Training Set – Validation Set – Test Set”
This tutorial talks about various measures of accuracy in in various predictive analytics and machine learning scenarios. It also talks about potential pitfall of over fitting resulting in memorization vs the learning which is desirable.
Continue reading “Machine Learning : Accuracy & Memorization vs Learning”
This R Tutorial builds on the previous R tutorial and arms you with few more fundamental analysis tools for capturing essence of data. This will go a long way in understanding the data more.
Continue reading “R Tutorial : Intermediate Data Analysis – Part 2”
This First R Tutorial aims at introducing you to the fascinating world of Data Science and Analytics using the almighty tool called R. You will be aided with how to do steps which you can follow and work with.
