AI & ML
4.5 (1645 Ratings)4k+ Learners4 WeeksFlexible
This course introduces you to the fundamentals of AI and Machine Learning (ML). You will explore supervised and unsupervised learning, model evaluation techniques, and delve into neural networks. The course also includes practical Python exercises and a final capstone project.
Week 1
- Introduction to AI and ML
- Python for ML (NumPy, Pandas)
- Supervised vs. Unsupervised Learning
- Tools: Jupyter Notebook, scikit-learn
Week 2
- Regression and Classification Algorithms
- Model Evaluation (Accuracy, Precision, Recall)
- Introduction to Neural Networks
Week 3
- Capstone Project: Predictive Model (e.g., House Prices or Student Scores)
- Data Preprocessing, Model Building, and Evaluation
Week 4
- Finalizing Capstone
- Bonus: Introduction to TensorFlow/Keras
- Resume/LinkedIn Boost with ML Portfolio
