Guest Blog

Introduction to ANOVA for Statistics and Data Science (with COVID-19 Case Study using Python)

ANOVA is a key topic in statistics and data science. Learn how ANOVA works using a COVID-19 case study in Python.

Partner and Affiliate Monitoring: The Benefits of AI Over Traditional Methods

Learn how machine learning gives you an advantage in the space of partner and affiliate monitoring and the benefits of AI over traditional methods.

Can you Lie to your Deep Learning Model?

Coronavirus Analysis: Will Social Distancing Help Prevent the Spread?

An analysis on the coronavirus numbers and understanding if social distancing will help flatter the curve and prevent the spread.

Is Class Sensitivity Model Dependent? Analyzing 4 Popular Deep Learning Architectures

Understanding Class Sensitivity in Classification Problems (using a CIFAR-10 Case Study!)

This article presents two interesting methods of dealing with class sensitivity in a classification problem in the space of machine learning.

Using the Power of Deep Learning for Cyber Security (Part 2) – Must-Read for All Data Scientists

PowerShell is a framework consisting of a robust command line shell. In this article learn how we can use Deep Learning For Cyber Security.

10 Useful Data Analysis Expressions (DAX) Functions for Power BI Beginners

Here are 10 useful Data Analysis Expressions(DAX) functions in Power BI that every professional should be aware of.

Extracting and Analyzing 1000 Basketball Games using Pandas and Chartify

Learn how to use Python for scraping web data from the NBA stats website. There are plenty of examples and visualizations in this article!

Hands-On Introduction to creditR: An Amazing R Package to Enhance Credit Risk Scoring and Validation

Presenting an intuitive and easy-to-use R package to enhance credit risk scoring and validation! THis article contains comprehensive R code as well.