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 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 [📰]
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 [📂]
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 [📂]
Source code from DQLab learning module
- [📂] [📄] Data Quality with Python for Beginner
- [📂] [📄] Statistic using Python for Data Science - Part 1
Books about AI, ML, DL, Statistic, etc 📚