## ML Algos From Scratch – Support Vector Machines

Training a machine and visualizing the results are real fun to do, so is learning algorithms that train and test the data! This article explains one of the most interesting Supervised Machine Learning Algorithm- SVM. Support Vector Machines is a… Continue Reading

## Understanding Math Behind KNN (with codes in Python)

Understanding the Math behind K-Nearest Neighbors Algorithm using Python The K-Nearest Neighbor algorithm (KNN) is an elementary but important machine learning algorithm. KNN can be used for both classification and regression predictive problems. The reason for the popularity of KNN… Continue Reading

## ML Algos From Scratch – Decision Trees

Hello Readers!! I hope you’re having a good time learning about machine learning. Welcome to part 2 of ML algorithm series where I’ll be discussing one of the most famous and conceptual algorithm known as the Decision Tree Algorithm. Decision… Continue Reading

## Prerequisite to Gradient Descent: Model Representation

Introduction to  Model Representation Hello all! Welcome back to the 2nd article on basics of Machine Learning. In this article, we are going to first get familiar with how we represent Models while performing operations and Machine Learning and learn… 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

## First step towards – Supervised Learning

In this article we will try and cover the basics of supervised learning and develop an intuition of what it really is and how it can be used. In supervised learning, we are given a data set and already know… 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

## Comprehensive Classification Series – Kaggle’s Titanic Problem Part 1: Introduction to Kaggle

Introduction to Kaggle In this comprehensive series on Kaggle’s Famous Titanic Data set, we will walk through the complete procedure of solving a classification problem using python. No matter if you are novice in this field or an expert you… Continue Reading