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.
Dimensionality Reduction: Feature Extraction using Scikit-learn in Python
Learn how to perform different dimensionality reduction using feature extraction methods such as PCA, KernelPCA, Truncated SVD, and more using Scikit-learn library in Python.
Dropout Regularization using PyTorch in Python
Learn the importance of dropout regularization and how to apply it in PyTorch Deep learning framework in Python.
Named Entity Recognition using Transformers and Spacy in Python
Learn how you can perform named entity recognition using HuggingFace Transformers and spaCy libraries in Python.
Logistic Regression using PyTorch in Python
Learn how to perform logistic regression algorithm using the PyTorch deep learning framework on a customer churn example dataset in Python.
Handling Imbalanced Datasets: A Case Study with Customer Churn
Learn how to handle one of the main data science common problems, which are imbalanced datasets, how to deal with them using SMOTE, tweaking class weights, and resampling in Python.
Recommender Systems using Association Rules Mining in Python
Build a recommender system for market basket analysis With association rule mining with the Online Retail dataset in Python.
Customer Churn Prediction: A Complete Guide in Python
Learn how to perform data analysis and make predictive models to predict customer churn effectively in Python using sklearn, seaborn and more.
Credit Card Fraud Detection in Python
Learn how to build a model that is able to detect fraudulent credit card transactions with high accuracy, recall and F1 score using Scikit-learn in Python.
Fake News Detection in Python
Exploring the fake news dataset, performing data analysis such as word clouds and ngrams, and fine-tuning BERT transformer to build a fake news detector in Python using transformers library.
How to Paraphrase Text using Transformers in Python
Explore different pre-trained transformer models in transformers library to paraphrase sentences in Python.
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.
