Artificial Intelligence I: Introduction to Data Science and Machine Learning

This repository contains codes and documents for the course Artificial Intelligence I: Introduction to Data Science and Machine Learning course taught in Kadir Has University. This course was carried out in cooperation with the Lifelong Education Center (Yaşamboyu Eğitim Merkezi) at Kadir Has University.

Original Course Link (In Turkish)

Artificial Intelligence I: Introduction to Data Science and Machine Learning Certificate Program

NOTE: This course contains both Turkish and English materials. The files ending with _TR are in Turkish.

Instructors

H. Fuat Alsan (PhD Candidate in Computer Science)

Sena Kılınç (PhD Candidate in Computer Science)

Assoc. Prof Dr. Taner Arsan

Topics

Week 1: Introduction to Python

• General introduction
• Introduction to Python programming language

Week 2: Introduction to Data Science

• NumPy
• Pandas
• Matplotlib
• Exploratory data analysis (EDA)

Week 3: Introduction to Machine Learning

• Gradient descent with basic linear models
• Regression, classification and clustering
• Sklearn
• (Extra EDA examples)

Week 4: Model Selection

• Advanced models
• Ensemble models
• Grid Search CV
• Classification metrics
• Class imbalance

Week 5: Time Series & Anomaly Detection

• Time series analysis
  • Stationary, non-stationary
  • Autocorrelation (ACF), Partial autocorrelation (PACF)
  • Seasonality
  • Seasonal decomposition
• Threshold anomaly detection
• Interquartile Range (IQR) anomaly detection
• Seasonal decomposition anomaly detection
• ARIMA, Auto ARIMA
• (Extra machine learning examples)

Week 6: MLOps

• Web service basics
• REST APIs
• Microservices architecture
• Docker
• MLFlow
• Overall software architecture

License

The code is licensed under the

MIT License