Machine Learning for Data Analysis using Python
Introduction
Introduction to course
Installation
Statistical Models
Exploratory Data Analysis
Machine Learning
Starting with EDA
EDA Step 2 – Describing Data
EDA Step 3 – Graphical Analysis
EDA Step 4 – Data Cleaning
EDA Step 5 – Feature Engineering
EDA – Practical Example
Model Building
Introduction to Model Building
Rules of Model Building
Customer Churn Example
Foundations of ML
Machine Learning Algorithms
Supervised Learning
Loan Application Example
Loan Application Example Part 2
Regression
Practical Notebook Review
Unsupervised Learning
Clustering
K-Mean Clustering Elbow Method
K-Mean
Case Study on K-Mean Clustering
Practical Notebook Review on Unsupervised Learning
Conclusion
Learning Checkpoint EDA-ML
Final Words
Previous Lesson
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EDA Step 5 – Feature Engineering
Machine Learning for Data Analysis using Python
EDA Step 5 – Feature Engineering
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