ChatGPT: Master Machine Learning (AI) using ChatGPT

Goals

• Master the fundamental concepts and tools of data science, including Python programming, data visualization, and statistical analysis.

• Gain hands-on experience with popular data science libraries such as NumPy, Pandas, Matplotlib, and Seaborn.

• Understand and apply the concepts of linear and logistic regression, decision trees, and random forests for prediction and classification tasks.

• Learn unsupervised learning techniques such as clustering and dimensionality reduction.

• Learn advanced methods in NLP and deep learning.

• Understand the concepts and techniques of time series analysis and forecasting.

• Build recommendation systems and web scraping.

• Learn Reinforcement Learning and Robotics.

• Apply your newfound skills to real-world projects and use cases.

• Be equipped with the skills to become a data scientist or data analyst.

• Get a strong foundation to pursue advanced topics in machine learning and artificial intelligence.

• Learn to clean, explore, and visualize data to uncover patterns and insights.

Prerequisites

• Active ChatGPT account
• Basic knowledge of programming concepts.
• Familiarity with basic mathematical concepts such as probability and statistics.
• Understanding basic linear algebra and calculus concepts would be helpful but not necessary.
• Familiarity with basic computer science concepts such as data structures and algorithms is helpful but not necessary.
• Some knowledge of machine learning would be helpful but not necessary.