ML + AI Mastery
ML + AI Mastery: Learn Machine Learning and Artificial Intelligence
Build a strong foundation in machine learning and artificial intelligence with practical concepts, hands-on exercises, and real-world applications. This course is designed to help students understand how intelligent systems learn, predict, and make decisions.
About this course
Machine Learning and Artificial Intelligence are two of the most powerful technologies in the modern digital world. This course introduces both fields in a simple and practical way, helping learners understand how data-driven systems work and how intelligent models are trained. Students will explore core ML algorithms, AI concepts, data preprocessing, model evaluation, and modern applications such as prediction, automation, and decision-making. The course is suitable for beginners as well as learners who want to build a strong technical base for advanced AI and ML careers.
What you will learn
- Introduction to Machine Learning and Artificial Intelligence.
- Types of ML: supervised, unsupervised, and reinforcement learning.
- Python basics for ML and AI.
- Data cleaning, preprocessing, and feature engineering.
- Linear regression and logistic regression.
- Decision trees, random forest, KNN, SVM, and clustering.
- Model evaluation and performance metrics.
- Neural networks and deep learning basics.
- Natural language processing and computer vision basics.
- Real-world ML and AI projects.
INFONITY
INSTITUTE OF SKILLS
Practical trainer-led learning.
Industry-oriented curriculum.
