Artificial Intelligence and Data Science
Syllabus - AI & ML
Artificial Intelligence Fundamentals
Machine Learning with Python
Deep Learning & Neural Networks
Data Science with Python
Data Analytics using Python
Data Visualization using Power BI
Data Visualization using Tableau
Advanced Excel for Data Analysis
Generative AI Applications
Natural Language Processing (NLP)
Computer Vision using OpenCV
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2. Machine Learning with Python (30 Hours)
Module 1: Machine Learning Fundamentals (5 Hours)
- Introduction to Machine Learning
- Types of Machine Learning
- ML workflow
Module 2: Python Libraries for ML (6 Hours)
- NumPy
- Pandas
- Matplotlib
- Seaborn
Module 3: Supervised Learning Algorithms (8 Hours)
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
Module 4: Unsupervised Learning (5 Hours)
- Clustering concepts
- K-Means clustering
- Dimensionality reduction
Module 5: Model Evaluation (4 Hours)
- Accuracy
- Precision & Recall
- Confusion Matrix
Mini Project (2 Hours)
- Customer prediction model