Machine Learning
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Machine Learning
Python Machine Learning Ecosystem
Introduction
NumPy
Pandas
Matplotlib
datasets.html
End-to-End Machine Learning Process
Introduction
Machine Learning Steps
Data Preparation
Data Cleaning
Data Leakage
Feature Selection
Data Transforms
Dimensionality Reduction
Ensemble Learning Algorithms
Introduction
One-vs-Rest and One-vs-One Models
Bagging
Boosting
Voting Ensemble
XGboost
First XGBoost Model
Imbalanced Classification
Intuition for Imbalanced Classification
Failure of Accuracy
Machine Learning
Machine Learning
This file will become your README and also the index of your documentation.