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.
Satellite Image Classification using TensorFlow in Python
Learn how to fine-tune the current state-of-the-art EffecientNet V2 model to perform image classification on satellite data (EuroSAT) using TensorFlow in Python.
Text Generation with Transformers in Python
Learn how you can generate any type of text with GPT-2 and GPT-J transformer models with the help of Huggingface transformers library in Python.
Speech Recognition using Transformers in Python
Learn how to perform speech recognition using wav2vec2 and whisper transformer models with the help of Huggingface transformers library in Python.
Machine Translation using Transformers in Python
Learn how to use Huggingface transformer models to perform machine translation on various languages using transformers and PyTorch libraries in Python.
How to Train BERT from Scratch using Transformers in Python
Learn how you can pretrain BERT and other transformers on the Masked Language Modeling (MLM) task on your custom dataset using Huggingface Transformers library in Python
Age and Gender Detection using OpenCV in Python
Learn how to perform age and gender detection using OpenCV library in Python with camera or image input.
Gender Detection using OpenCV in Python
Learn how to perform gender detection on detected faces in images using OpenCV library in Python.
Age Detection using OpenCV in Python
Learn how to predict someone's age from his front face picture using OpenCV library in Python
Imbalance Learning With Imblearn and Smote Variants Libraries in Python
Learn how to overcome imbalance related problems by either undersampling or oversampling the dataset using different types and variants of smote in addition to the use of the Imblearn library in Python.
Conversational AI Chatbot with Transformers in Python
Learn how to use Huggingface transformers library to generate conversational responses with the pretrained DialoGPT model in Python.
Feature Selection using Scikit-Learn in Python
Learn how to use Scikit-Learn library in Python to perform feature selection with SelectKBest, random forest algorithm and recursive feature elimination (RFE).
How to Fine Tune BERT for Text Classification using Transformers in Python
Learn how to use HuggingFace transformers library to fine tune BERT and other transformer models for text classification task 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
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
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
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.
