🤖 AI / ML
Beginner-friendly AI / ML tutorials with runnable examples.
Deep Learning for Natural Language Processing
Learn how to apply deep learning techniques to natural language processing tasks.
Read →Unsupervised Learning using K-Means Clustering
Learn how to perform unsupervised learning using K-Means clustering and Scikit-Learn.
Read →Time Series Forecasting using Recurrent Neural Networks
Learn how to forecast time series data using recurrent neural networks and PyTorch.
Read →Image Classification using Convolutional Neural Networks
Learn how to classify images using convolutional neural networks and TensorFlow.
Read →Building a Simple Chatbot using Natural Language Processing
Create a simple chatbot using natural language processing and Python.
Read →Getting Started with Machine Learning using Scikit-Learn
Learn the basics of machine learning with Scikit-Learn and Python.
Read →Anomaly Detection using Autoencoders
Learn how to detect anomalies using autoencoders and Python.
Read →Building a Recommendation System using Collaborative Filtering
Create a recommendation system using collaborative filtering and Python.
Read →Time Series Forecasting using Recurrent Neural Networks
Learn how to forecast time series data using recurrent neural networks and Python.
Read →Image Classification using Convolutional Neural Networks
Learn how to classify images using convolutional neural networks and Python.
Read →Building a Simple Chatbot using Natural Language Processing
Create a simple chatbot using natural language processing and Python.
Read →Getting Started with Machine Learning using Scikit-Learn
Learn the basics of machine learning with Scikit-Learn and Python.
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