Selva Prabhakaran

LDA in Python – How to grid search best topic models?

Python’s Scikit Learn provides a convenient interface for topic modeling using algorithms like Latent Dirichlet allocation(LDA), LSI and Non-Negative Matrix Factorization. In this tutorial,...

Topic Modeling with Gensim (Python)

Topic Modeling is a technique to extract the hidden topics from large volumes of text. Latent Dirichlet Allocation(LDA) is a popular algorithm for topic...

pdb – How to use Python debugger

Caret Package – A Practical Guide to Machine Learning in R

Caret Package is a comprehensive framework for building machine learning models in R. In this tutorial, I explain nearly all the core features of...

101 NumPy Exercises for Data Analysis (Python)

The goal of the numpy exercises is to serve as a reference as well as to get you to apply numpy beyond the basics....

Numpy Tutorial Part 2 – Vital Functions for Data Analysis

Numpy is the core package for data analysis and scientific computing in python. This is part 2 of a mega numpy tutorial. In this...

Numpy Tutorial – Your first numpy guide to build python coding foundations

This is part 1 of the numpy tutorial covering all the core aspects of performing data manipulation and analysis with numpy’s ndarrays. Numpy is...

Python Regular Expressions Tutorial and Examples: A Simplified Guide

Regular expressions, also called regex, is a syntax or rather a language to search, extract and manipulate specific string patterns from a larger text....

Evaluation Metrics for Classification Models – How to measure performance of machine learning models?

Choosing the right evaluation metric for classification models is important to the success of a machine learning app. Monitoring only the ‘accuracy score’ gives...

Logistic Regression – A Complete Tutorial With Examples in R

Logistic regression is a predictive modelling algorithm that is used when the Y variable is binary categorical. That is, it can take only two...

How to implement common statistical significance tests and find the p value?

How to implement and interpret the commonly used statistical significance tests in R? Understand the purpose, when to use and how to interpret the...

Complete Introduction to Linear Regression in R

We have covered the basic concepts about linear regression. Besides these, you need to understand that linear regression is based on certain underlying assumptions...