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 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.