ML Fundamentals

NumPy, Matplotlib & Pandas – Data Science Prerequisites

Finding Mutations in DNA and Proteins (Bioinformatics VI)

Matrix Factorization and Advanced Techniques

Capstone: Data Science Problem in Linear Algebra Framework

Fundamentals of Deep Learning

Introduction to Data Science and scikit-learn in Python

Machine Learning with Implementation in Java

Reinforcement Learning for Trading Strategies

Analyze Data Science Concepts Using R

SPSS: Apply & Evaluate Cluster Analysis Techniques

AI for Design and Optimization

Model Training & Evaluation

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

Build a computer vision app with Azure Cognitive Services

Modeling Time Series and Sequential Data

Basic Engineering Mathematics

Getting Started with Machine Learning at the Edge on Arm

Demand Forecasting Using Time Series