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Techniques that I reused for my machine learning problems without deep learning

License: MIT License

Jupyter Notebook 97.88% CSS 0.05% HTML 0.93% JavaScript 0.01% Python 1.14%

machine-learning-reuse's Introduction

Machine-Learning-Reuse

Techniques that I reused for my machine learning problems without deep learning

Introduction to Data Science

Short introduction for Python
numpy library for linear system library
matplotlib library for drawing and graph library
pandas library for dataframe library
Standardization data
Normalization data
Principal Component explanation
Correlation study

NLP

Bag Of Word
TF-IDF
Hashing algorithm
Speech Tagging
Baiyes Classification
Linear System Classification
xgboosting
sklearn pipeline
lightbgm

Image processing

Augmentation
Featuring
hog-featuring

Classification

stacking model
featuring

Regression

stacking model
featuring

Binary

stacking XGB with LGB

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