Time Series Forecasting Using R : A Starter Pack Some basic theoretical ideas needed before we proceed :- Time Series Data – A time series is a set of observations on the values that a variable takes at different times. Such data may be collected at regular time intervals, such …

Why Logistic Regression? The linear Regression model assumes that the response variable Y is quantitative. But in many situations, the response variable is instead qualitative. For example eye colour is qualitative taking on values blue, brown or green. Often qualitative variables are referred to as categorical. Here we study approaches …

Top Data Science Geek to follow on GitHub How to use and learn Data Science tools and techniques from these GitHub account? Create your account on GitHub Decide on what you want to start learning (Ex: Visualization or Machine Learning) Follow people who contributes on Visualization Clone the codes in …

This is the place to discover cool data and work together to solve Data problems faster and seamlessly analyse open data. Data Sets Repository UC Irvine Machine Learning Repository – contains data sets good for machine learning enigma.io – Navigate the world of public data – Quickly search and analyze billions of public records …

So far we know that when the constants of a population (the parameters) are unknown, we estimate them by finding estimates based on the samples drawn from the same population. This method is called “estimation”. Now, since we are estimating the parameters so there must be two types of …