Information Technology: Machine Learning

Implement real-world datasets to create intelligent systems and elevate your skills in the realm of AI-driven innovation.

What You’ll Learn

• Introduction to Data Science
• Mathematics and Statistics fundamentals
• ML Programming and Tools (Python)
• Data Acquisition and Preprocessing
• Exploratory Data Analysis (EDA)
• Machine Learning Fundamentals
• Supervised Learning Algorithms
• Unsupervised Learning Algorithms
• Bias in Data Collection and Models
• Capstone Project

What Programming Languages are Covered?

• Python
•  R
• Panda
• Matplotlib and Seaborn
• Plotly

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