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assets
assets
 
 
basic-deep-learning
basic-deep-learning
 
 
dataset
dataset
 
 
natural-language-processing
natural-language-processing
 
 
Module 1 Section 1 Lab 1 - Python Data Types.ipynb
Module 1 Section 1 Lab 1 - Python Data Types.ipynb
 
 
Module 1 Section 2 Lab 1 - Python Operators & Control Flow.ipynb
Module 1 Section 2 Lab 1 - Python Operators & Control Flow.ipynb
 
 
Module 1 Section 2 Lab 2 - Python Functions, Iterators, String Manipulation & File IO.ipynb
Module 1 Section 2 Lab 2 - Python Functions, Iterators, String Manipulation & File IO.ipynb
 
 
Module 3 Section 1 Lab 1 - Data Manipulation with Pandas.ipynb
Module 3 Section 1 Lab 1 - Data Manipulation with Pandas.ipynb
 
 
Module 3 Section 2 Lab 1 - Visualization with Matplotlib.ipynb
Module 3 Section 2 Lab 1 - Visualization with Matplotlib.ipynb
 
 
Module 3 Section 2 Lab 2 - Visualization with Seaborn.ipynb
Module 3 Section 2 Lab 2 - Visualization with Seaborn.ipynb
 
 
Module 4 Section 1 Lab 1 - Liniear Regression.ipynb
Module 4 Section 1 Lab 1 - Liniear Regression.ipynb
 
 
Module 4 Section 1 Lab 2 - Liniear Regression (Advance).ipynb
Module 4 Section 1 Lab 2 - Liniear Regression (Advance).ipynb
 
 
Module 4 Section 2 Lab 1 - Liniear to Logistic Regression.ipynb
Module 4 Section 2 Lab 1 - Liniear to Logistic Regression.ipynb
 
 
Module 4 Section 2 Lab 2 - Logistic Regression.ipynb
Module 4 Section 2 Lab 2 - Logistic Regression.ipynb
 
 
Module 5 Section 1 Lab 1 - Decision Tree.ipynb
Module 5 Section 1 Lab 1 - Decision Tree.ipynb
 
 
Module 5 Section 1 Lab 2 - Decision Tree (Hyperparameter Tuning).ipynb
Module 5 Section 1 Lab 2 - Decision Tree (Hyperparameter Tuning).ipynb
 
 
Module 5 Section 1 Lab 3 - Ensemble Learning.ipynb
Module 5 Section 1 Lab 3 - Ensemble Learning.ipynb
 
 
Module 6 Section 1 Lab 1 - K-Nearest Neighbors.ipynb
Module 6 Section 1 Lab 1 - K-Nearest Neighbors.ipynb
 
 
Module 6 Section 1 Lab 2 - Cross Validation.ipynb
Module 6 Section 1 Lab 2 - Cross Validation.ipynb
 
 
Module 6 Section 2 Lab 1 - K-Means.ipynb
Module 6 Section 2 Lab 1 - K-Means.ipynb
 
 
README.md
README.md
 
 
coba.txt
coba.txt
 
 

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Hi, ini merupakan kumpulan kode dan dataset yang digunakan dalam pembelajaran AI dari dasar.

Kode bukan untuk dihafal, melainkan di pahami intuisinya secara konsep maupun logika. Teruslah belajar dan mencoba, dan jangan pernah takut untuk salah. Karena belajar tanpa bereksperimen adalah sia-sia.

Salam,
Kuncahyo Setyo Nugroho

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Kumpulan kode dan dataset untuk pembelajaran AI

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