Sanbercode-DS-Batch-20

Python-Data Science and Machine Learning (Beginner Level-Short Course)

• These files are my work throughout Sanbercode Python Data Science Short Course.
• This course took 4 week from December 7th 2020 to January 9th 2021.
• Folders and files attached are only my personal work on assignments and final project.
• All Assignments & Projects attached was interpreted using Jupyter Notebook (.ipynb file).
• Most of the words used in the questions and answers are in Bahasa Indonesia

Python Data Science Batch 20 (Translated)

Week 1

• Hello Python
• Functions, Method and Getting Help
• Logic Control Flow and Loop
• Python List dan Dictionary
• Statistika Deskriptif Untuk Data Science (Descriptive Statistics for Data Science)

Week 2

• Pandas Introduction
• Akses/Indexing dan Transformasi Data (Accessing/Indexing and Data Transforming)
• Reshaping Data
• Grouping Data
• Merging DataFrame

Minggu 3

• Pengenalan Matplotlib (Matplotlib Introduction)
• Custom Visualisasi (Custom Visualization)
• Multiple Plots
• Perbandingan Kuantitatif (Quantitative Comparison)
• Seaborn Introduction

Minggu 4

• Pengenalan Machine Learning (Machine Learning Introduction)
• Algoritma KNN dan Model Regresi Linear (KNN Algorithm and Linear Regression Model)
• Evaluasi Performa dan Memilih Model (Performance Evaluation and Choosing Model)
• Preprocessing Data

If there's any question, critics, or input please kindly reach me through this email : [email protected]

Regards,

Teuku Muhammad Kemal Isfan