A repository containing my projects and articles pertaining to Machine Learning,Data Visualisation and Machine Learning.
A project aiming to MAP Data from different tables, analyze Data, Portray the Data in effective visual presentations and predict future outcomes.
Software Used: Tableau
A series of articles for complete beginners in Machine Learning. The series written in 'R' statistical language helps to acquaint the newbies with the nuances on Machine Learning.It helps to foster the fundamentals in a veru concise and lucid way.The series consists of 10 articles and has been posted on Medium
An Introduction to Machine Learning
While choosing the best programming language for data science, two of the most popular languages around, R and Python come to mind but choosing between them is always a dilemma for a data scientist.But the main point is deep understanding of the algorithm and their application can be in any language of choice.In this part we will delve into fundamentals of ML beginning with a refresher in basic jargons and fundamentals.
Introduction to R ,Measures of Central Tendency & Dispersion.
In the second part of the this series on Machine Learning with R, we have a brief introduction of the R language.In the later part of the article we will also have a refresher of two very important features of Descriptive Statistics.
In the third part of the series on Machine Learning with R, we discuss basic operations in R.We will also learn about the Distributions and Exploratory Data Analysis in R
In the fourth part of the ongoing series on Machine Learning with R, we will discuss about functions , models and hypothesis. We will also study in detail about Linear Regression with code in R