FEATURE SCALING TECHNIQUE in Python | Python for beginners | Module 12
https://bit.ly/3Ff5Esb Struggling with inconsistent data in your ML models? Feature Scaling is a crucial preprocessing step that ensures your machine learning algorithms perform optimally. In this video, we'll explore key Feature Scaling techniques, their importance, and how to implement them in Python using Scikit-learn.
Timestamp ⏱️
00:00 - Intro
00:15 - What is Feature Scaling Technique in Python?
01:19 - Practically Explanation of Feature Scaling Technique
10:31 - Which Algorithms Require Feature Scaling Technique and Which Do Not?
14:57 - Different Types of Feature Scaling Technique
24:55 - How to use Standard Scalar Technique?
49:50 - How to use Minmax Scalar Technique?
58:26 - How to use Robust Scalar Technique?
1:07:57 - How to use Mean Max Absolute Scalar Technique?
📌 What You'll Learn:
1️⃣ Introduction to Feature Scaling
📌 What is Feature Scaling? – Understanding why scaling is necessary.
📌 How Scaling Affects Machine Learning Models – Avoiding bias in numerical data.
📌 When to Apply Scaling – Best practices in ML workflows.
2️⃣ Common Feature Scaling Techniques
📌 Min-Max Scaling (Normalization) – Scaling values between 0 and 1.
📌 Standardization (Z-score Normalization) – Mean centering and variance scaling.
📌 Robust Scaling – Handling outliers effectively.
📌 Log Transformation – Converting skewed data into a normal distribution.
3️⃣ Advanced Scaling & Real-World Applications
📌 Feature Scaling in Regression & Classification Models – Impact on performance.
📌 Scaling for Deep Learning & Neural Networks – Why it's crucial.
📌 Implementing Feature Scaling in Python – Using Scikit-learn & Pandas.
📌 Choosing the Right Scaling Method – When to use Normalization vs Standardization.
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📖 Books to Read on Feature Scaling & Data Preprocessing:
📚 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow – Aurélien Géron
📚 Python Machine Learning – Sebastian Raschka & Vahid Mirjalili
📚 Deep Learning for Structured Data – Mark Goldin
📚 Data Science for Business – Foster Provost & Tom Fawcett
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