Exercise

Collections of all my exercise

• K-Means Clustering using Iris Dataset [📂]
• Decision Tree and Random Forest Classification using Titanic Dataset [📂]
• Rock Paper Scissors Image Detection using CNN [📂]

Mini Project

Mini or small project that I've worked on.

• Analyzing Fleet Foxes New Album 'Shore' Using Python NLP [📂] [📰]
• Analyzing Bank Mandiri Stock Market using Sentiment Analysis from Twitter [📂]
• Analyzing Fleet Foxes’s Top 5 Favorite Songs Using R [📰]

College

My weekly assignments from ML course in college

• Week 1: Introduction [📂]
• Week 2: Data Preprocessing [📂]
• Week 3: Data Representation and Features Engineering [📂]
• Week 4: Supervised Learning 1 [📂]
• Week 5: Supervised Learning 2 [📂]
• Week 6: Supervised Learning 3 [📂]
• Week 7: Supervised Learning 4 [📂]
• Week 8: Unsupervised Learning 1 [📂]
• Week 9: Unsupervised Learning 2 [📂]
• Week 10: Unsupervised Learning 3 [📂]
• Week 11: Reinforcement Learning [📂]
• Week 12: Model Selection [📂]
• Week 13: Evaluating Techniques [📂]

Rapid Miner

My weekly assignments from ML course using Rapid Miner in college

• Week 1: Getting Started With Rapid Miner [📂]
• Week 2: Data Preparation [📂]
• Week 3: Data Exploration [📂]
• Week 4: Classification [📂]
• Week 5: Regression Methods [📂]
• Week 6: Association Analysis [📂]
• Week 7: Clustering [📂]

DQLab Module

Source code from DQLab learning module

• [📂] [📄] Data Quality with Python for Beginner
• [📂] [📄] Statistic using Python for Data Science - Part 1

Books

Books about AI, ML, DL, Statistic, etc 📚

1. Naked Statistics: Stripping the Dread from the Data by Charles Wheelan
2. OpenIntro Statistics Textbook by Christopher D. Barr, David M. Diez, and Mine Çetinkaya-Rundel