ML Fundamentals

Reinforcement Learning

Applied Natural Language Processing in Engineering Part 1

Machine Learning with Neural Networks

Computer Vision Basics

Practical Predictive Analytics: Models and Methods

Train Machine Learning Models

SPSS: Apply & Evaluate Cluster Analysis Techniques

Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications

Explainable deep learning models for healthcare - CDSS 3

Introduction to Self-Driving Cars

Causal Inference

Technologies and platforms for Artificial Intelligence

Image Classification with Keras: Build & Optimize

Transfer Learning for NLP with TensorFlow Hub

Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

Machine Learning with PyTorch and Scikit-Learn

Machine Learning – Modern Computer Vision & Generative AI

Machine Learning Essentials for Business and Technical Decision Makers