How to Handle Missing Data in Data Science Pipelines
Learn data imputation, column drops, and predictive missing value substitutions.
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Train foundation language models using custom document inputs with PyTorch and PEFT.
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Explore the real impact of AI on web development, from planning to maintenance, through practical examples and insights from a developer's experience.
Data Wrangling with Pandas and Python
Clean and transform raw datasets using the Pandas library in Python.
Building a Basic Recommender System
Implement collaborative filtering algorithms to recommend items using Python.
Introduction to Neural Networks in Python
Build and train a simple multi-layer perceptron neural network using PyTorch.
Understanding Convolutional Neural Networks for Vision
Learn how convolution kernels, pooling layers, and features map input images.
Edge AI: Running ML Models on Microcontrollers
Run optimized TensorFlow Lite models on ARM Cortex microcontrollers.