Machine Learning Tutorials


Learn how to build machine learning and deep learning models for many purposes in Python using popular frameworks such as TensorFlow, PyTorch, Keras and OpenCV.

How to Perform Text Classification in Python using Tensorflow 2 and Keras
How to Perform Text Classification in Python using Tensorflow 2 and Keras

Building deep learning models (using embedding and recurrent layers) for different text classification problems such as sentiment analysis or 20 news group classification using Tensorflow and Keras in Python

How to Perform YOLO Object Detection using OpenCV and PyTorch in Python
How to Perform YOLO Object Detection using OpenCV and PyTorch in Python

Using the state-of-the-art YOLOv3 object detection for real-time object detection, recognition and localization in Python using OpenCV and PyTorch.

How to Predict Stock Prices in Python using TensorFlow 2 and Keras
How to Predict Stock Prices in Python using TensorFlow 2 and Keras

Predicting different stock prices using Long Short-Term Memory Recurrent Neural Network in Python using TensorFlow 2 and Keras.

How to Use K-Means Clustering for Image Segmentation using OpenCV in Python
How to Use K-Means Clustering for Image Segmentation using OpenCV in Python

Using K-Means Clustering unsupervised machine learning algorithm to segment different parts of an image using OpenCV in Python.

How to Detect Contours in Images using OpenCV in Python
How to Detect Contours in Images using OpenCV in Python

Learning how to detect contours in images for image segmentation, shape analysis and object detection and recognition using OpenCV in Python.

How to Recognize Optical Characters in Images in Python
How to Recognize Optical Characters in Images in Python

Using Tesseract OCR library and pytesseract wrapper for optical character recognition (OCR) to convert text in images into digital text in Python.

How to Convert Speech to Text in Python
How to Convert Speech to Text in Python

Learning how to use Speech Recognition Python library for performing speech recognition to convert audio speech to text in Python.

How to Use Transfer Learning for Image Classification using TensorFlow in Python
How to Use Transfer Learning for Image Classification using TensorFlow in Python

Learn what is transfer learning and how to use pre trained MobileNet model for better performance to classify flowers using TensorFlow in Python.

How to Build a Text Generator using TensorFlow 2 and Keras in Python
How to Build a Text Generator using TensorFlow 2 and Keras in Python

Building a deep learning model to generate human readable text using Recurrent Neural Networks (RNNs) and LSTM with TensorFlow and Keras frameworks in Python.

How to Make an Image Classifier in Python using Tensorflow 2 and Keras
How to Make an Image Classifier in Python using Tensorflow 2 and Keras

Building and training a model that classifies CIFAR-10 dataset images that were loaded using Tensorflow Datasets which consists of airplanes, dogs, cats and other 7 objects using Tensorflow 2 and Keras libraries in Python.