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Machine Learning Tutorial
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K-Nearest Neighbors (KNN) Classification with scikit-learn
This article covers how and when to use k-nearest neighbors classification with scikit-learn. Focusing on concepts, workflow, and examples. We also cover distance metrics and how to select the best value for k using cross-validation.
Adam Shafi
February 20, 2023
Decision Tree Classification in Python Tutorial
In this tutorial, learn Decision Tree Classification, attribute selection measures, and how to build and optimize Decision Tree Classifier using Python Scikit-learn package.
Avinash Navlani
June 27, 2024
A Complete Guide to Data Augmentation
Learn about data augmentation techniques, applications, and tools with a TensorFlow and Keras tutorial.
Abid Ali Awan
December 9, 2024
All posts
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.
Derrick Mwiti
April 15, 2025
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
March 19, 2025
Forward Propagation in Neural Networks: A Complete Guide
Learn how forward propagation works in neural networks, from mathematical foundations to practical implementation in Python. Master this essential deep learning concept with code examples and visualizations.
Bex Tuychiev
March 19, 2025
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
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
March 5, 2025
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
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.
Abid Ali Awan
January 21, 2025
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.
Josep Ferrer
January 16, 2025
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.
Arun Nanda
December 25, 2024
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.
Arun Nanda
December 18, 2024
Proximal Policy Optimization with PyTorch and Gymnasium
Learn the first principles of Proximal Policy Optimization, including its implementation in PyTorch with Gymnasium!
Arun Nanda
November 18, 2024
Machine Learning with Python & Snowflake Cortex AI: A Guide
Learn about Snowflake Cortex AI and how it can be used for LLMs and machine learning.
Austin Chia
November 8, 2024