Feature Engineering Techniques For Machine Learning in Python

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Thank you for watching the video! Here is the Colab Notebook: https://colab.research.google.com/drive/1-H8ZfuemZAW_imWCVJPj_syfrZOnPAyT?usp=sharing California Housing Kaggle Dataset: https://www.kaggle.com/camnugent/california-housing-prices Learn Python, SQL, & Data Science for free at https://mlnow.ai/ :) Subscribe if you enjoyed the video! Best Courses for Analytics: --------------------------------------------------------------------------------------------------------- + IBM Data Science (Python): https://bit.ly/3Rn00ZA + Google Analytics (R): https://bit.ly/3cPikLQ + SQL Basics: https://bit.ly/3Bd9nFu Best Courses for Programming: --------------------------------------------------------------------------------------------------------- + Data Science in R: https://bit.ly/3RhvfFp + Python for Everybody: https://bit.ly/3ARQ1Ei + Data Structures & Algorithms: https://bit.ly/3CYR6wR Best Courses for Machine Learning: --------------------------------------------------------------------------------------------------------- + Math Prerequisites: https://bit.ly/3ASUtTi + Machine Learning: https://bit.ly/3d1QATT + Deep Learning: https://bit.ly/3KPfint + ML Ops: https://bit.ly/3AWRrxE Best Courses for Statistics: --------------------------------------------------------------------------------------------------------- + Introduction to Statistics: https://bit.ly/3QkEgvM + Statistics with Python: https://bit.ly/3BfwejF + Statistics with R: https://bit.ly/3QkicBJ Best Courses for Big Data: --------------------------------------------------------------------------------------------------------- + Google Cloud Data Engineering: https://bit.ly/3RjHJw6 + AWS Data Science: https://bit.ly/3TKnoBS + Big Data Specialization: https://bit.ly/3ANqSut More Courses: --------------------------------------------------------------------------------------------------------- + Tableau: https://bit.ly/3q966AN + Excel: https://bit.ly/3RBxind + Computer Vision: https://bit.ly/3esxVS5 + Natural Language Processing: https://bit.ly/3edXAgW + IBM Dev Ops: https://bit.ly/3RlVKt2 + IBM Full Stack Cloud: https://bit.ly/3x0pOm6 + Object Oriented Programming (Java): https://bit.ly/3Bfjn0K + TensorFlow Advanced Techniques: https://bit.ly/3BePQV2 + TensorFlow Data and Deployment: https://bit.ly/3BbC5Xb + Generative Adversarial Networks / GANs (PyTorch): https://bit.ly/3RHQiRj Timeline: 00:00 Introduction 1:44 Initial Setup 10:00 Dimensionality Reduction (PCA) 16:22 Preprocessing / Scaling 26:08 Categorical Encoding (Dummy / One-Hot) 33:09 Binning (Grouping / Aggregating) 37:56 Clustering (K-Means) 44:08 Feature Selection