Selva Prabhakaran

Data Science Roadmap – How to become a Data Scientist? (6 month self study plan)

Today, I discuss the Data Science Roadmap, the missing guide to self study machine learning. I’ll discuss what exactly you need to know and...

Why learn the math behind Machine Learning and AI?

Why learn the math behind machine learning algorithms when you can readily implement it using the python libraries like scikit-learn, h2o, statsmodels etc? This...

Mistakes programmers make when starting machine learning

Today, I want to discuss some of the common mistakes that programmers make when starting to learn machine learning. But first, let me speak...

Machine Learning Use Cases – The Big List of Real World Applications by Vertical and Industry

The use cases of machine learning to real world problems keeps growing as ML/AI sees increased adoption across industries. However, there are certain core...

How to deal with Big Data in Python for ML Projects (100+ GB)?

The size of the data you can load and train in your local computer is typically limited by the memory in your computer. Let’s...

Granger Causality Test in Python

Granger Causality test is a statistical test that is used to determine if a given time series and it’s lags is helpful in explaining...

Granger Causality Test

Introduced in 1969 by Clive Granger, Granger causality test is a statistical test that is used to determine if a particular time series is...

Main Pitfalls in Machine Learning Projects

Not all Data Science projects that get kicked-off see the light of day. While this is true for any project, there are common reasons...

Population Stability Index (PSI)

Population stability Index (PSI) is a model monitoring metric that is used to quantify how much the distribution of a continuous response variable has...

R Squared Interpretation

Regression Coefficient Formula

  Let’s understand the formula for the linear regression coefficients. That is the formula for both alpha and the beta. Now, if you have...

Linear Regression in Machine Learning – Clearly Explained

    In this lesson, I introduce what Linear regression is all about. Linear Regression is a foundational algorithm for machine learning and statistical...

Linear Regression in Machine Learning – Clearly Explained

Understanding linear regression. Let’s understand what linear regression is all about from a non-technical perspective, before we get into the details, we will first...

Deploy ML model in AWS Ec2 – Complete no-step-missed guide

In this guide, you will understand the steps to deploy your ML model app in Amazon EC2 service. Here the ML app is a...

Decorators in Python – How to enhance functions without changing the code?

Decorators in python allow you to dynamically change the functionality of another function, without altering it’s code. What? Is that possible? Yes. This covers:...

Generators in Python – How to lazily return values only when needed and save memory?

Generators in python provide an efficient way of generating numbers or objects as and when needed, without having to store all the values in...

Iterators in Python – What are Iterators and Iterables?

Iterable in Python is any object that can be looped over. In order for an iterable to be looped over, an iterable needs to...

Python Module – What are modules and packages in python?

Any Python file with a .py extension is a Module in Python. A python package is a collection of such modules along with a...

Object Oriented Programming (OOPS) in Python

Object oriented programming is an effective way of writing code. You create classes which are python objects, that represented meaningful entities which defines its...