Datasets in Machine Learning: Complete Guide for Beginners
Автор: Quantum Ojas Intelligence Lab
Загружено: 2026-02-10
Просмотров: 35
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📊 Everything you need to know about Datasets in Machine Learning!
In this comprehensive tutorial, you'll learn:
✅ What are ML Datasets?
✅ Types of Datasets (Labeled, Unlabeled, Structured, Unstructured)
✅ Dataset Splitting (Train, Test, Validation)
✅ Where to Find Free Datasets (Kaggle, UCI, Google Dataset Search)
✅ Dataset Quality & Preprocessing
✅ Handling Imbalanced Datasets
✅ Popular Datasets (MNIST, CIFAR-10, ImageNet, Iris, Titanic)
✅ Creating Your Own Dataset
✅ Data Augmentation Techniques
✅ Best Practices for Dataset Management
🌐 FREE DATASET SOURCES:
Kaggle: https://www.kaggle.com/datasets
UCI ML Repository
Google Dataset Search
AWS Open Data
Papers with Code
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💬 Drop your favorite dataset in the comments!
#MachineLearning #Datasets #DataScience #ML #AI #Kaggle #Python #DataPreprocessing #TrainTestSplit #MLProjects #DeepLearning #DataAugmentation
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