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Machine Learning Tutorial

Get insights & best practices into AI & machine learning, upskill, and build data cultures. Learn how to get the most out of machine learning models with our tutorials.
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Machine Learning

Sensitivity and Specificity: A Complete Guide

Learn to distinguish sensitivity and specificity, and appropriate use cases for each. Includes practical examples.
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Mark Pedigo

July 15, 2025

Machine Learning

What is Underfitting? How to Detect and Overcome High Bias in ML Models

Explore what underfitting is, how to diagnose an underfitting model, and discover actionable strategies on how to fix underfitting, ensuring your models accurately capture data patterns and deliver reliable predictions.

Rajesh Kumar

May 29, 2025

Machine Learning

Apriori Algorithm Explained: A Step-by-Step Guide with Python Implementation

Discover how the Apriori algorithm works, its key concepts, and how to effectively use it for data analysis and decision-making.
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Derrick Mwiti

April 15, 2025

Machine Learning

Feature Engineering in Machine Learning: A Practical Guide

Learn feature engineering with this hands-on guide. Explore techniques like encoding, scaling, and handling missing values in Python.
Srujana Maddula's photo

Srujana Maddula

March 19, 2025

Python

Softmax Activation Function in Python: A Complete Guide

Learn how the softmax activation function transforms logits into probabilities for multi-class classification. Compare softmax vs sigmoid and implement in Python with TensorFlow and PyTorch.

Rajesh Kumar

March 13, 2025

Python

Sklearn Linear Regression: A Complete Guide with Examples

Learn about linear regression, its purpose, and how to implement it using the scikit-learn library. Includes practical examples.
Mark Pedigo's photo

Mark Pedigo

March 5, 2025

Machine Learning

Feature Extraction in Machine Learning: A Complete Guide

Master feature extraction techniques with hands-on Python examples for image, audio, and time series data. Learn how to transform raw data into meaningful features and overcome common challenges in machine learning applications.

Rajesh Kumar

February 11, 2025

Artificial Intelligence

Understanding Dimensionality Reduction

Discover the importance of dimensionality reduction, its techniques, and how to apply them to image datasets while visualizing and comparing data in lower-dimensional spaces.
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Abid Ali Awan

January 21, 2025

Artificial Intelligence

Fuzzy Logic in AI: Principles, Applications, and Python Implementation Guide

From binary to nuance: explore how fuzzy logic powers intelligent AI systems and mimics human decision-making behavior.
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Josep Ferrer

January 16, 2025

Machine Learning

Reinforcement Learning with Gymnasium: A Practical Guide

Understand the basics of Reinforcement Learning (RL) and explore the Gymnasium software package to build and test RL algorithms using Python.
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Arun Nanda

December 25, 2024

Machine Learning

Self-Organizing Maps: An Intuitive Guide with Python Examples

Understand the core concepts of Self Organizing Maps and learn how to implement them in Python using MiniSom.
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Arun Nanda

December 18, 2024