Python Machine Learning Tutorials

Machine learning is a field of computer science that uses statistical techniques to give computer programs the ability to learn from past experiences and improve how they perform specific tasks.

In the the following tutorials, you will learn how to use machine learning tools and libraries to train your programs to recognise patterns and extract knowledge from data. You will learn how to use tools such as OpenCV, NumPy and TensorFlow for performing tasks such as data analysis, face recognition and speech recognition.

Hugging Face Transformers: Leverage Open-Source AI in Python

Python Machine Learning Tutorials

Hugging Face Transformers

Split Your Dataset With scikit-learn's train_test_split()

Split Your Dataset With scikit-learn's train_test_split()

PyTorch vs TensorFlow for Your Python Deep Learning Project

Python Deep Learning: PyTorch vs Tensorflow

Embeddings and Vector Databases With ChromaDB

Using k-Nearest Neighbors (kNN) in Python

Build Your Own Face Recognition Tool With Python

Linear Regression in Python

Linear Regression in Python

Starting With Linear Regression in Python

Building a Neural Network & Making Predictions With Python AI

Splitting Datasets With scikit-learn and train_test_split()

Speech Recognition With Python

Learn Text Classification With Python and Keras

The k-Nearest Neighbors (kNN) Algorithm in Python

Python AI: How to Build a Neural Network & Make Predictions

Stochastic Gradient Descent Algorithm With Python and NumPy

Sentiment Analysis: First Steps With Python's NLTK Library

Use Sentiment Analysis With Python to Classify Movie Reviews

Data Version Control With Python and DVC

Generative Adversarial Networks: Build Your First Models

K-Means Clustering in Python: A Practical Guide

Logistic Regression in Python

Traditional Face Detection Using Python

Build a Recommendation Engine With Collaborative Filtering

Three Ways of Storing and Accessing Lots of Images in Python

Traditional Face Detection With Python

Setting Up Python for Machine Learning on Windows

Practical Text Classification With Python and Keras

Image Segmentation Using Color Spaces in OpenCV + Python

Pure Python vs NumPy vs TensorFlow Performance Comparison

The Ultimate Guide To Speech Recognition With Python

Fingerprinting Images for Near-Duplicate Detection

Face Detection in Python Using a Webcam