Levenshtein Distance and the concept of Fuzzy matching in Python

Ever wondered how spellchecks and auto-corrections in your mobile phones bails you out by automatically suggesting the words that you were just about to type?

Setup for Deep Learning with GPU on Your Local Laptop

Supervised Learning — Linear Regression (Using R)

Problem Statement:- Generate a proper 2-D data set of N points. Split the…

Correlation vs Regression — The Battle of Statistics Terms

Pyspark equivalent of Pandas

As an avid user of Pandas and a beginner in Pyspark (I still am) I was always searching for an article or a Stack overflow post on equivalent functions for Pandas in Pyspark. I thought I will create one for myself and anyone to whom this might be useful. This also can be a bit…

Understanding ETL Pipeline

An introduction to phases of ETL pipeline in Data Science

Descriptive Statistics — III

1. Median from Histogram

Top 5 Free Resources to learn Deep Learning with PyTorch

Exploring Integrals in Python

Want to learn more about integration and math behind it? Let’s explore.

Deep dive into Threaded Binary Tree step-by-step

Step-by-Step TensorFlow / Keras

Part 1 : Deep Neural Networks

Artificial Intelligence Songwriter : What If Taylor Swift’s Songs Were Written By A Machine ?

A Complete Introduction To Time Series Analysis (with R)

ChatBot in Python-Part 1

According to Gartner “By 2022, 70% of white-collar workers will interact with conversational platforms daily”

Price Discrimination in Daily Fantasy Sports Contests (using Python)

What is the Support Vector Machine (SVM)

This article covers three parts:

Working with Missing Values

How to handle empty rows and cells in a dataframe

Ensemble Learning: Data Science.

Ensemble Learning is a technique or process in which multiple models…

Build Your Own Linear Regression Model From Scratch

Python — Function and Function Parameters

In a nutshell when we defined a function, we may or may not pass parameters. But most…

Predicting Rideshare fares using Machine Learning Algorithms

A Complete Introduction To Time Series Analysis (with R):: Introduction

Setup and CRUD Operations in MongoDB

In this post we will see how to set up an account in MongoDB…

Bias Variance Trade-Off in Machine Learning

Whenever we evaluate a model’s predicting power, It’s important to understand the…

Trend of Novel Covid-19 in India — Detailed Analysis in Python

WestWorld series helps us to think about how to handle Outliers in the Machine Learning

Selection Sort: Implementation and Analysis

Sorting plays an important role in any computer application. When processing large…

Python for playing around with the Floral Reflectance Database (FReD)

Open source data is the best, I…

Breakeven analysis

Maybe even used the term before, or said: “At what point do we break even?”

Fantasy Basketball Lineup Generator

The goal of this analysis is to create a model to predict the best fantasy lineup for a certain…

Natural Language Processing and It’s impact on Financial Sector

What is Natural Language Processing?

Statistical thinking for competitive gaming and beyond

Healthcare AI for Individuals

“So we need two things: first, we need ways of predicting and detecting disease well before it becomes life…

Car visuals for CNN using Matplotlib

Plotting your image data-set using ‘get_cmap’ and more.

From a Confusion Matrix to another Not-so-Confusing matrix.

The power of Gamification

And why it’s going to change your app forever