## Logistic Regression (now with the math behind it!)

Logistic Regression is a type of linear model that’s mostly used for binary classification but can also be used for multi-class classification. If the term linear model sounds something familiar, then that might be because Linear Regression is also a type of linear model. To proceed with this notebook you first have to make sure that you understand ML concepts…

## Linear Regression

What is Linear Regression? Linear regression quantifies the relationship between one or more predictor variables and an outcome variable. It is commonly used for predictive analysis and models. For example, it can be used to quantify the relative effects of age, gender, and diet (the predictor variables) on height (the outcome variable). It is also known as multiple regression, multivariate regression, ordinary least squares (OLS),…

## 10 datasets for beginners

As a beginner, learning Machine Learning and Data Science can be a mountain of a task. Thankfully there exist a few datasets which help you in building confidence and honing your skills! Here are 10 datasets that I think are suited for beginners – 1. Beginner’s Classification Dataset It’s as the name suggests. This dataset…

## Mean, Median, and Mode (now with Python!)

Mean, median, and mode are the most commonly used measures for central tendencies in descriptive statistics. Everyone learns them in school…so I hope you paid attention back in your school days because it’ll be very relevant in this article. But even if you didn’t, don’t worry, that’s what I am here for! Even though these…

## Analysis of Covid-19 in India and its reasons

The COVID-19 pandemic became one of the worst things that ever happened in India. It caused over 3 million deaths throughout the nation and left a mark on the economy that would take a few years to heal. COVID-19 The COVID-19 pandemic, also known as the coronavirus pandemic, is an ongoing global pandemic of coronavirus…

## Ridge Regression (now with interactive graphs!!!)

So… Ridge Regression is a modified version of Linear Regression. and a classic example of regularization using L2 penalty. So to learn about Ridge Regression, you have to make sure you understand Linear Regression. If you don’t then click here. If you don’t know what Gradient Descent is, then click here. It is an absolute must that…

## Gradient Descent (now with a little bit of scary maths)

Buckle up Buckaroo because Gradient Descent is gonna be a long one (and a tricky one too). The whole article would be a lot more “mathy” than most articles as it tries to cover the concepts behind a Machine Learning algorithm called Linear Regression. If you don’t know what Linear Regression is, go through this article once. It would help…