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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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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
February 23, 2023
A Complete Guide to Data Augmentation
Learn about data augmentation techniques, applications, and tools with a TensorFlow and Keras tutorial.
Abid Ali Awan
November 23, 2022
All posts
Reinforcement Learning: An Introduction With Python Examples
Learn the fundamentals of reinforcement learning through the analogy of a cat learning to use a scratch post.
Bex Tuychiev
May 2, 2024
An Introduction to Vector Databases For Machine Learning: A Hands-On Guide With Examples
Explore vector databases in ML with our guide. Learn to implement vector embeddings and practical applications.
Gary Alway
April 26, 2024
A Comprehensive Tutorial on Optical Character Recognition (OCR) in Python With Pytesseract
Master the fundamentals of optical character recognition in OCR with PyTesseract and OpenCV.
Bex Tuychiev
April 23, 2024
ML Workflow Orchestration With Prefect
Learn everything about a powerful and open-source workflow orchestration tool. Build, deploy, and execute your first machine learning workflow on your local machine and the cloud with this simple guide.
Abid Ali Awan
April 5, 2024
A Beginner's Guide to Azure Machine Learning
Explore Azure Machine Learning in our beginner's guide to setting up, deploying models, and leveraging AutoML & ML Studio in the Azure ecosystem.
Moez Ali
March 21, 2024
An Introduction to the Mamba LLM Architecture: A New Paradigm in Machine Learning
Discover the power of Mamba LLM, a transformative architecture from leading universities, redefining sequence processing in AI.
Kurtis Pykes
March 7, 2024
OpenCV Tutorial: Unlock the Power of Visual Data Processing
This article provides a comprehensive guide on utilizing the OpenCV library for image and video processing within a Python environment. We dive into the wide range of image processing functionalities OpenCV offers, from basic techniques to more advanced applications.
Richmond Alake
February 22, 2024
A Beginner's Guide to CI/CD for Machine Learning
Learn how to automate model training, evaluation, versioning, and deployment using GitHub Actions with the easiest MLOps guide available online.
Abid Ali Awan
February 16, 2024
An End-to-End ML Model Monitoring Workflow with NannyML in Python
Learn an end-to-end workflow to monitor any model in your Jupyter notebook in production environments.
Bex Tuychiev
February 8, 2024
Multilayer Perceptrons in Machine Learning: A Comprehensive Guide
Dive into Multilayer Perceptrons. Unravel the secrets of MLPs in machine learning for advanced pattern recognition, classification, and prediction.
Sejal Jaiswal
February 7, 2024
Mastering Bayesian Optimization in Data Science
Unlock the power of Bayesian Optimization for hyperparameter tuning in Machine Learning. Master theoretical foundations and practical applications with Python to enhance model accuracy.
Zoumana Keita
February 2, 2024
Mastering Low-Rank Adaptation (LoRA): Enhancing Large Language Models for Efficient Adaptation
Explore the groundbreaking technique of Low-Rank Adaptation (LoRA) in our full guide. Discover how LoRA revolutionizes the fine-tuning of Large Language Models.
Moez Ali
January 16, 2024