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Scikit-Learn Full Crash Course - Python Machine Learning

NeuralNine

Today we to a crash course on Scikit-Learn, the go-to library in Python when it comes to traditional machine learning algorithms (i.e., not deep learning).

Scikit-Learn Docs: https://scikit-learn.org/stable/api/index.html

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📚 Programming Books & Merch 📚

🐍 The Python Bible Book: https://www.neuralnine.com/books/

💻 The Algorithm Bible Book: https://www.neuralnine.com/books/

👕 Programming Merch: https://www.neuralnine.com/shop

💼 Services 💼

💻 Freelancing & Tutoring: https://www.neuralnine.com/services

🖥️ Setup & Gear 🖥️: https://neuralnine.com/extras/

🌐 Social Media & Contact 🌐

📱 Website: https://www.neuralnine.com/

📷 Instagram: https://www.instagram.com/neuralnine

🐦 Twitter: https://twitter.com/neuralnine

🤵 LinkedIn: https://www.linkedin.com/company/neuralnine/

📁 GitHub: https://github.com/NeuralNine

🎙 Discord: https://discord.gg/JU4xr8U3dm

Timestamps:

(0:00) Intro

(1:49) Environment Setup

(5:32) Preview Example

(12:22) Datasets

(23:12) Splitting Data

(33:02) Preprocessing

(41:35) Feature Encoding

(52:51) Classification

(1:00:27) Regression

(1:04:48) Clustering

(1:12:58) PCA

(1:18:04) Metrics

(1:23:33) Cross-Validation

(1:25:37) Hyperparameter Tuning

(1:31:04) Pipelines

(1:32:53) Outro

Scikit-Learn Full Crash Course - Python Machine Learning | Knoovi