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knn recommender system: How to make movie recommendations and rating predictions using K-Nearest Neighbors Algorithm.
This article shows you how to set up Docker-based Python development environment with CUDA support in PyCharm or Visual Studio Code
Implement pre-trained models for image classification (VGG-16, Inception, ResNet50, EfficientNet) with data augmentation and model training.
Learn how to stream tweets in real-time, store them in a database, and finally analyse streaming tweets to get the present mood of the public.
Camelot is a Python library that makes it easy for anyone to extract tables from PDF files. Learn using cameot in this article.
Learn what is categorical data and various categorical data encoding methods such as binary encoding, dummy, target encoding etc.
MoCo-v2 comes with the simplicity and power of SimCLR with fewer compute requirements. It is unsupervised technique for visual representation learning.
Learn Image Augmentation with Keras ImageDataGenerator. Expand your dataset size with this deep learning image augmentation technique. Optimized for Google.
Learn how to evaluate your Machine Learning model, understand bias, variance, and the bias-variance tradeoff with a clear example. Essential steps included!
Discover how to create a video game sales prediction using machine learning. Train a model and build a real-world application with Python.
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