Selva Prabhakaran

Top 50 matplotlib Visualizations – The Master Plots (with full python code)

A compilation of the Top 50 matplotlib plots most useful in data analysis and visualization. This list lets you choose what visualization to show...

List Comprehensions in Python – My Simplified Guide

List comprehensions is a pythonic way of expressing a ‘For Loop’ that appends to a list in a single line of code. It is...

Python @Property Explained – How to Use and When? (Full Examples)

A python @property decorator lets a method to be accessed as an attribute instead of as a method with a '()'. Today, you will...

How Naive Bayes Algorithm Works? (with example and full code)

Naive Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this post,...

Parallel Processing in Python – A Practical Guide with Examples

Parallel processing is a mode of operation where the task is executed simultaneously in multiple processors in the same computer. It is meant to...

Cosine Similarity – Understanding the math and how it works (with python codes)

Cosine similarity is a metric used to measure how similar the documents are irrespective of their size. Mathematically, it measures the cosine of the...

Gensim Tutorial – A Complete Beginners Guide

Gensim is billed as a Natural Language Processing package that does ‘Topic Modeling for Humans’. But it is practically much more than that. It...

Lemmatization Approaches with Examples in Python

Lemmatization is the process of converting a word to its base form. The difference between stemming and lemmatization is, lemmatization considers the context and...

Feature Selection – Ten Effective Techniques with Examples

In machine learning, Feature selection is the process of choosing variables that are useful in predicting the response (Y). It is considered a good...

101 Pandas Exercises for Data Analysis

101 python pandas exercises are designed to challenge your logical muscle and to help internalize data manipulation with python’s favorite package for data analysis....

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)

101 interactive NumPy exercises with solutions. Edit and run every code block directly in your browser — no installation needed.

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

NumPy is the backbone of data science in Python. This tutorial covers arrays, indexing, reshaping, and random numbers — all the basics you need...

Python Regular Expressions Tutorial and Examples: A Simplified Guide

Regular expressions (regex) let you search, extract, and manipulate text patterns in Python. They power text validation, NLP projects, and text mining workflows. Regular...

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...