Build your First Linear Regression Model in Qlik Sense
Overview Qlik is widely associated with powerful dashboards and business intelligence reports Did you know that you can use the power of Qlik to …
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Predictive modeling
11 Important Model Evaluation Metrics for Machine Learning Everyone should know
Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, …
A comprehensive beginners guide for Linear, Ridge and Lasso Regression in Python and R
Introduction I was talking to one of my friends who happen to be an operations manager at one of the Supermarket chains in India. …
Cheatsheet: Scikit-Learn & Caret Package for Python & R respectively
Introduction For any Python or R practitioner, this article will prove to be a boon. We provide you cheatsheets for the most widely used machine …
Introduction to Feature Selection methods with an example (or how to select the right variables?)
Introduction One of the best ways I use to learn machine learning is by benchmarking myself against the best data scientists in competitions. It …
18 Free Exploratory Data Analysis Tools For People who don’t code so well
Overview A coding background is not mandatory for data analysis and predictive modelling Plenty of open source and proprietary tools exist which automate the …
Winners Talk: Top 3 Solutions of The Seer’s Accuracy Competition
Introduction Surprises arrive when you expect them least to arrive. The Seer’s Accuracy turned out to be a challenging surprise for data scientists. So, what changed …
A Complete Tutorial to learn Data Science in R from Scratch
Overview Free tutorial to learn Data Science in R for beginners Covers predictive modeling, data manipulation, data exploration, and machine learning algorithms in R …
8 Ways to deal with Continuous Variables in Predictive Modeling
Introduction Let’s come straight to the point on this one – there are only 2 types of variables you see – Continuous and Discrete. …
Simple Methods to deal with Categorical Variables in Predictive Modeling
Introduction Categorical variables are known to hide and mask lots of interesting information in a data set. It’s crucial to learn the methods of …
