Machine Learning Plus

9 min

What is P-Value? – Understanding the meaning, math and methods

P Value is a probability score that is used in statistical tests to establish the statistical significance of an observed effect. Though p-values are...

P-Value Significance Tests Statistics

101 Python datatable Exercises (pydatatable)

15 min

Data Manipulation

101 Python datatable Exercises (pydatatable)

Python datatable is the newest package for data manipulation and analysis in Python. It carries the spirit of R’s data.table with similar syntax. It...

Data Manipulation Exercises pydatatable

Vector Autoregression (VAR) – Comprehensive Guide with Examples in Python

24 min

Time Series

Vector Autoregression (VAR) – Comprehensive Guide with Examples in Python

Vector Autoregression (VAR) is a forecasting algorithm that can be used when two or more time series influence each other. That is, the relationship...

Grangers Causality Machine Learning Python

Mahalanobis Distance – Understanding the math with examples (python)

11 min

Statistics

Mahalanobis Distance – Understanding the math with examples (python)

Mahalanobis distance is an effective multivariate distance metric that measures the distance between a point and a distribution. It is an extremely useful metric...

Imbalanced Classification Machine Learning Mahalanobis Distance

11 min

Python

datetime in Python – Simplified Guide with Clear Examples

datetime is the standard module for working with dates in python. It provides 4 main objects for date and time operations: datetime, date, time...

datetime Python

Principal Component Analysis – How PCA algorithms works, the concept, math and implementation

13 min

Machine Learning

Principal Component Analysis – How PCA algorithms works, the concept, math and implementation

Principal Components Analysis (PCA) is an algorithm to transform the columns of a dataset into a new set of features called Principal Components. By...

Machine Learning PCA Python

11 min

Python

Python Logging – Simplest Guide with Full Code and Examples

The logging module lets you track events when your code runs so that when the code crashes you can check the logs and identify...

logging Python

Matplotlib Histogram – How to Visualize Distributions in Python

6 min

Plots

Matplotlib Histogram – How to Visualize Distributions in Python

Matplotlib histogram is used to visualize the frequency distribution of numeric array by splitting it to small equal-sized bins. In this article, we explore...

Histogram Matplotlib Python

27 min

Time Series

Time Series Analysis in Python – A Comprehensive Guide with Examples

Time series is a sequence of observations recorded at regular time intervals. This guide walks you through the process of analyzing the characteristics of...

Deseasonalize Detrend Seasonality

Matplotlib Tutorial – A Complete Guide to Python Plot with Examples

22 min

Plots

Matplotlib Tutorial – A Complete Guide to Python Plot with Examples

The goal of this tutorial is to make you understand ‘how plotting with matplotlib works’ and make you comfortable to build full-featured plots with...

Matplotlib Python Visualization

Topic modeling visualization – How to present the results of LDA models?

14 min

NLP

Topic modeling visualization – How to present the results of LDA models?

In this post, we discuss techniques to visualize the output and results from topic model (LDA) based on the gensim package. Topic modeling visualization...

LDA NLP Python

44 min

Plots

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...

Matplotlib Python Visualization

9 min

Python

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...

List Comprehension Python

7 min

Python

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...

@property Python

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

13 min

Predictive Modeling

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,...

Classification klaR Naive Bayes

11 min

Python

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...

Multiprocessing Parallel Processing Python

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

8 min

NLP

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...

Cosine Similarity FastText Gensim

Gensim Tutorial – A Complete Beginners Guide

26 min

NLP

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...

Bigrams Corpus Doc2Vec

Lemmatization Approaches with Examples in Python

13 min

NLP

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...

Lemmatization NLP NLTK

Feature Selection – Ten Effective Techniques with Examples

19 min

Machine Learning

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...

Feature Selection R

Selva Prabhakaran

What is P-Value? – Understanding the meaning, math and methods

101 Python datatable Exercises (pydatatable)

Vector Autoregression (VAR) – Comprehensive Guide with Examples in Python

Mahalanobis Distance – Understanding the math with examples (python)

datetime in Python – Simplified Guide with Clear Examples

Principal Component Analysis – How PCA algorithms works, the concept, math and implementation

Python Logging – Simplest Guide with Full Code and Examples

Matplotlib Histogram – How to Visualize Distributions in Python

Time Series Analysis in Python – A Comprehensive Guide with Examples

Matplotlib Tutorial – A Complete Guide to Python Plot with Examples

Topic modeling visualization – How to present the results of LDA models?

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

List Comprehensions in Python – My Simplified Guide

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

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

Parallel Processing in Python – A Practical Guide with Examples

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

Gensim Tutorial – A Complete Beginners Guide

Lemmatization Approaches with Examples in Python

Feature Selection – Ten Effective Techniques with Examples

How to Evaluate an LLM: Benchmarks, Metrics, and Practical Workflows

Unsloth Fine-Tuning — Train LLMs 2x Faster with 70% Less Memory

How to Evaluate LLMs — Metrics, Benchmarks & Python Code

Machine Learning A-Z™: Hands-On Python & R In Data Science

Free Sample Videos:

Selva Prabhakaran

Latest Articles

Python.SQL. NumPy. All free.

Machine Learning A-Z™: Hands-On Python & R In Data Science

Free Sample Videos:

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Python.
SQL. NumPy.
All free.