Build A Predictive Model Using Python: Your Complete Guide for 2024
A framework to quickly build a predictive model using python in under 10 minutes & create a benchmark solution for data science competitions.
Statistics
Mastering Regression Techniques in Machine Learning: An Expert‘s Guide
Regression techniques are the popular statistical techniques used for predictive modeling. Learn common types of regression techniques.
Machine Learning vs. Statistical Modeling: A Data Scientist‘s Guide to Choosing the Right Approach
Learn the difference between Machine Learning and Statistical modeling. This article contains a comparison of the algorithms and output with a case study.
The Deep Connection: Understanding Causality and Correlation in the Age of AI
Difference between causality and correlation is explained with examples. This article includes Cause-effect, observational data to establish difference.
7 Most Commonly Asked Questions on Correlation: An AI Expert‘s Deep Dive
7 common correlation questions and answers include causation, simple linear regression, covariance and more. Read on.
Excel Report Automation: Your Path to Data Excellence in 2024
Creating dynamic ranges can help us automate our Excel models and reports including Pivot tables and charts
Using Statistics: Understanding Population Distributions – A Data Scientist‘s Guide
This series lays out various concepts of statistics, which business analytics analyst needs to know. This is part one of the article.
Solving Business Challenges with Markov Chains: A Data Scientist‘s Journey
This article explains how to solve a real life scenario business case using Markov chain algorithm where simple Markov chain can be leveraged.
How To Interpret Hidden States In Latent Markov Models & Markov Chains
Hidden state is an abstract concept in Latent Markov. This article attempts to draw analogy from a simple example to clarify the same.