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This repository is a collection of both basic and advanced code templates for Model Building. All codes I am sharing are from the practical exercises I did from the Data Science Infinity Program.

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Machine Learning Model: Model Building Templates

This repository is a collection of both basic and advanced code templates for Model Building

All codes I am sharing are from the practical exercises I did from the Data Science Infinity Program

You are free to fork this repository

Will continue to update this repository as I'm still completing the program as of July 8, 2021

To be added soon once completed:

- Random Forests Classification Basic
- Random Forests Classification Advanced
- K-Nearest-Neighbours (KNN) for Classification
- Grid Search for Hyperparameter Tuning
- Automating Workflows with Pipelines
- Machine Learning Model Deployment

Machine Learning Model: Model Building Templates:

- Creating a Regression Data
- Linear Regression Basic
- Linear Regression Advanced
- Regression Tree Basic
- Regression Tree Advanced
- Random Forest Regression Basic
- Random Forest Regression Advanced
- Logistic Regression Basic
- Logistic Regression Advanced
- Classification Tree Basic
- Classification Tree Advanced
- K-means Clustering Basic
- K-means Clustering Advanced
- Principal Component Analysis (PCA)
- Association Rule Learning
- Causal Impact Analysis