## Comprehensive Regression Series – Predicting Student Performance – Part 1 – Understanding the Data Set

In this series, we will walk through the whole procedure of solving a regression problem in python. In a Regression problem, we predict continuous values (like price of a stock, or student performance as in this case) We will be using a… Continue Reading

## ML Algos From Scratch – K-Nearest Neighbors

Hola Data Scientists! Hope you’re having a wonderful day. Welcome to Part 1 of “ML Algos from Scratch” series. This series aims at building an intuition about machine learning algorithms, from how it works and what happens under the hood,… Continue Reading

## Comprehensive Regression Series – Predicting Student Performance – Part 4 – Making the Predictive Model

This is the fourth part of the Comprehensive Regression Series. We strongly recommend you to go through the previous parts before starting with this one. The series is as follows: Part 1 – Understanding the Data Set Part 2 –… Continue Reading

## Comprehensive Classification Series – Kaggle’s Titanic Problem – Part 3: Feature Engineering and Building a Predictive Model

Part 3: Feature Engineering and Building a Predictive Model This is the third part of the Comprehensive Classification Series. We strongly recommend you to go through the previous parts before starting with this one. The series is as follows: Part… Continue Reading

## Comprehensive Classification Series – Kaggle’s Titanic Problem Part 2 :Understanding The Data and Exploratory Data Analysis with Visualizations

Understanding The Data and Exploratory Data Analysis with Visualizations This is the second part of the Comprehensive Classification Series. We strongly recommend you to go through the previous parts before starting with this one. The series is as follows: Part… Continue Reading

## Introduction to Feature Engineering

Introduction to Feature Engineering with Stock Prices Prediction This tutorial is meant to introduce to you what we call “Feature Engineering”. You probably know that “features” are the attributes of the data. They typically correspond to the independent columns of… Continue Reading

## First Machine Learning Project – Iris data set

The Hello world program of Machine Learning This is a fairly small data set containing only 150 rows and 4 features. It is the ideal data set to get your hands on to start with machine learning. You can download… Continue Reading