11 Easy-to-Achieve Steps to Transition into Data Science (for Reporting and BI Professionals!)
Are you a MIS/Reporting/BI professional trying to get into data science? Here is a comprehensive article listing down 11 steps you should follow!
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Understanding and coding Neural Networks From Scratch in Python and R
Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most …
10+ Simple Yet Powerful Excel Tricks for Data Analysis
Overview Microsoft Excel is one of the most widely used tools for data analysis Learn the essential Excel functions used to analyze data for …
Improve Your Model Performance using Cross Validation (in Python and R)
Learn various methods of cross validation including k fold to improve the model performance by high prediction accuracy and reduced variance
15 Trending Data Science GitHub Repositories you can not miss in 2017
Introduction GitHub is much more than a software versioning tool, which it was originally meant to be. Now people from different backgrounds and not …
Understanding Support Vector Machine(SVM) algorithm from examples (along with code)
Note: This article was originally published on Oct 6th, 2015 and updated on Sept 13th, 2017 Overview Explanation of support vector machine (SVM), a …
6 Easy Steps to Learn Naive Bayes Algorithm with codes in Python and R
Note: This article was originally published on Sep 13th, 2015 and updated on Sept 11th, 2017 Overview Understand one of the most popular and …
Commonly used Machine Learning Algorithms (with Python and R Codes)
Note: This article was originally published on August 10, 2015 and updated on Sept 9th, 2017 Overview Major focus on commonly used machine learning …
30 Questions to test a data scientist on K-Nearest Neighbors (kNN) Algorithm
Introduction If you were to ask me 2 most intuitive algorithms in machine learning – it would be k-Nearest Neighbours (kNN) and tree based …
CatBoost: A machine learning library to handle categorical (CAT) data automatically
Introduction How many of you have seen this error while building your machine learning models using “sklearn”? I bet most of us! At least in …
