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 Summarization using Transformers in Python
How to Perform Text Summarization using Transformers in Python

Learn how to use Huggingface transformers and PyTorch libraries to summarize long text, using pipeline API and T5 transformer model in Python.

How to Create Plots with Plotly In Python
How to Create Plots with Plotly In Python

Learn how to use the visualization tool Plotly to implement and create dynamic plots and figures (such as scatters, histograms, and candlesticks) in Python.

How to Perform Malaria Classification using TensorFlow 2 and Keras in Python
How to Perform Malaria Classification using TensorFlow 2 and Keras in Python

Learn how to build a deep learning malaria detection model to classify cell images to either infected or not infected with Malaria Tensorflow 2 and Keras API in Python.

Introduction to Finance and Technical Indicators with Python
Introduction to Finance and Technical Indicators with Python

Learn how to handle stock prices in Python, understand the candles prices format (OHLC), plotting them using candlestick charts as well as learning to use many technical indicators using stockstats library in Python.

Skin Cancer Detection using TensorFlow in Python
Skin Cancer Detection using TensorFlow in Python

Learn how to use transfer learning to build a model that is able to classify benign and malignant (melanoma) skin diseases in Python using TensorFlow 2.

How to Perform Voice Gender Recognition using TensorFlow in Python
How to Perform Voice Gender Recognition using TensorFlow in Python

Learn how to build a deep learning model that is able to detect and recognize your gender just by your voice tone using Tensorflow framework in Python.

How to Blur Faces in Images using OpenCV in Python
How to Blur Faces in Images using OpenCV in Python

Blurring and anonymizing faces in images and videos after performing face detection using OpenCV library in Python.

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

Learn how you to perform speech synthesis by converting text to speech both online and offline using gTTS and pyttsx3 libraries in Python.

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.

Face Detection using OpenCV in Python
Face Detection using OpenCV in Python

Performing face detection using both Haar Cascades and Single Shot MultiBox Detector methods with OpenCV's dnn module in Python.

How to Build a Spam Classifier using Keras in Python
How to Build a Spam Classifier using Keras in Python

Classifying emails (spam or not spam) with GloVe embedding vectors and RNN/LSTM units using Keras in Python.

How to Make a Speech Emotion Recognizer Using Python And Scikit-learn
How to Make a Speech Emotion Recognizer Using Python And Scikit-learn

Building a Speech Emotion Recognition system that detects emotion from human speech tone using Scikit-learn library in Python

Top 9 Python Libraries For Data Scientists and Machine Learning Engineers
Top 9 Python Libraries For Data Scientists and Machine Learning Engineers

Top python libraries and modules that every data scientist and machine learning engineer must know, learn and master.