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Machine Learning Essentials
Machine Learning Essentials
Price
$ 650.00
Description
This course is a beginner-friendly guide to machine learning (ML) fundamentals. It explains supervised and unsupervised learning, model evaluation metrics, and algorithm selection. Students use Python and scikit-learn to build models like linear regression, decision trees, and k-means clustering. It also covers preprocessing steps such as data normalization and handling missing values. Projects include predicting housing prices, classifying emails, and customer segmentation. This course builds the foundational knowledge needed for more advanced ML courses and real-world implementation. Ideal for data enthusiasts and professionals transitioning into AI and machine learning roles.
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Joshua Carter
初心者にもやさしい説明で、助かりました。
Hannah White
Loved the examples and hands-on exercises.
田中 美智子
Loved the examples and hands-on exercises.
Matthew Harris
実践的な内容が多く、すぐに使えるスキルが学べました。