ML Fundamentals

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Natural Language Processing - Deep Learning Models in Python

Network and Security Optimization in Telecommunication

Foundations of AI Engineering

Analyze, Create, and Secure Data with Zero Trust

Aerial Image Segmentation with PyTorch

Neural Networks and Deep Learning

Analytic Combinatorics

Credit Default Prediction with Python: Apply & Analyze

Data Science Decisions in Time: Using Causal Information

Build Decision Trees, SVMs, and Artificial Neural Networks

K-Means Clustering 101: World Happiness Report

AWS: Model Training , Optimization & Deployment

Fundamentals of AI, Machine Learning, and Python Programming

Machine Learning and Data Analytics Part 2

Machine Learning in the Enterprise

Analyze Data Science Concepts Using R

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