About the Course
Description
This course provides advanced concepts in artificial intelligence. Students will learn in-demand skills such as machine learning, deep learning, NLP, generative AI, and many more. They will learn to approach problems in a systematic, data-driven way, which can be applied to various real-world challenges beyond just AI. Studying AI and ML can deepen your understanding of human intelligence and cognition, providing insights into how we learn, think, and make decisions.
What will you Learn?
Introduction to AI
Introduction to Jupyter Notebook
NumPy, Pandas. Matplotlib, Scikit-learn, Seaborn
Supervised & Unsupervised Machine Learning
Linear Regression, Linear regression in Multiple Variable
Gradient Descent
Dummy variable and One hot Encoding
Training and Testing data
Classification Algorithm in ML
Logistic Regression(Binary & Multiclass Classification)
KNN Classification
Support Vector Machine
Decision Tree Algorithm
Naive Bayes classifier
Random Forest Algorithm
K-Fold Cross Validation
Eligibility Critteria
Previous knowledge of Python Advanced Course
Your Instructor
Mechatron
With years of hands-on experience in technology, education, and industry applications, your instructor brings a passion for making complex topics simple and accessible. From programming fundamentals to advanced AI systems, each course is designed to be practical, engaging, and beginner-friendly. Whether you're just starting out or looking to level up your skills, you’ll gain real-world knowledge, guided by someone who’s been there and knows how to help you get where you want to go.