GitHub Codespaces X Jupyter Notebooks

Ini adalah jupyter notebook pertama saya, digunakan untuk menyimpan dan mendokumentasikan pembelajaran saya tentang python, data science, machine learning, dan deep learning. Saya akan mencoba untuk mempelajari python dari dasar, dan mencoba untuk mengimplementasikan apa yang saya pelajari dalam bentuk jupyter notebook ini.

This is my first jupyter notebook, used to store and document my learning about python, data science, machine learning, and deep learning. I will try to learn python from the basics, and try to implement what I learn in the form of this jupyter notebook.

Getting Started

Prerequisites

• Python 3.+
• Jupyter Notebook or use
• GitHub Codespaces

Roadmap

1. Python Basic

• [Python Basic] - Current
• [Python Data Structure]
• [Python Function]
• [Python Object Oriented Programming]
• [Python Module and Package]
• [Python Exception Handling]
• [Python File Handling]
• [Python Regular Expression]

2. Data Science

• [Data Science Basic]
• [Numpy]
• [Pandas]
• [Matplotlib]
• [Seaborn]
• [Plotly]
• [Scikit-Learn]
• [Scipy]

3. Machine Learning

• [Machine Learning Basic]
• [Supervised Learning]
• [Unsupervised Learning]
• [Reinforcement Learning]
• [Linear Regression]
• [Logistic Regression]
• [Decision Tree]
• [Random Forest]
• [Support Vector Machine]
• [K-Nearest Neighbors]
• [K-Means Clustering]
• [Principal Component Analysis]
• [Recommender System]

4. Deep Learning

• [Deep Learning Basic]
• [Neural Network]
• [Convolutional Neural Network]
• [Recurrent Neural Network]
• [Generative Adversarial Network]
• [Deep Reinforcement Learning]

Sources and References

• Python Documentation
• W3Schools
• freeCodeCamp
• Kelas Terbuka