# Data Cleaning in Python Using Pandas

Basic terminologyWhat is tidy data?Five most common problems with messy data-sets:Column headers are values, not variable namesMultiple variables are stored in one columnVariables are stored in both r

0# Data Cleaning in Python Using Pandas

Basic terminologyWhat is tidy data?Five most common problems with messy data-sets:Column headers are values, not variable namesMultiple variables are stored in one columnVariables are stored in both r

0# Handling Categorical Features With Python

What are Categorical variables?Ordinal/Ordered categorical variableNominal categorical variableSimple approach to encode categorical featuresLabel EncodingOne Hot Encoding/One of K schemeImplementing

0# Implementing K-NearestNeighbour Algorithm From Scratch in Python

K-Nearest Neighbour is the simplest of machine learning algorithms which can be very effective in some cases. The objective of the post it to implement it from scratch in python, you need to know a fa

0# Introduction to Classification Algorithm

In this post we will try out various classification algorithm on a data set and examine their performance, we will start with exploring the data numerically and then with try some viszualization to get big picture of the dataset, the dataset we are using is “Weekly” dataset from ISLR library in R and the solutions will be in R language. As the title of the blog suggest its just an introduction i will try to keep it simple. This post will have two part in second part we will try out different data set.