Become a Artificial Intelligence expert and learn how to build and deploy industry curated projects like Optical Character Recognition, Face Detection and Facial Feature Detection, Object Detection, Object Tracking, Customer Analytics and many more.
Top Skills You Will Learn
Python, Supervised Machine Learning, Unsupervised Machine Learning, Image Processing, Computer Vision, Model Creation, Model Tuning and Model Deployment
Job Opportunities
Machine Learning Engineer, Data Scientist, AI Architect, Business Analyst, Product Analyst
Who Is This Program For?
Engineers, Software and IT Professionals, Data Professionals and Students
Course Content
Course Content
- Introduction to AI & ML
- Introduction to Python
- Getting around Anaconda and Jupyter Notebook
- Python Basics
– Data Types
– Conditional Statements, Loops and Control Statements
– Functions
– Lambda Functions and other built-in functions
– File Handling
- NumPy
– NumPy Basics
– Operations
– Indexing, Slicing and Copies
- Pandas
– Series
– DataFrames
– Fix Missing Data
– GroupBy
– Merge
– Operations
– File Reading and Writing
- Data Visualization Techniques
– Matplotlib
– Pandas built-in visualization
– Seaborn
- Machine Learning (Theory and Application)
– Machine Learning with Python
– Supervised- Linear Regression
– Supervised- Logistic Regression
– Supervised- Decision Tree
– Supervised- Support Vector Machine
– Supervised– K-Nearest Neighbours
– Unsupervised– K-Means Clustering
– Unsupervised– Association Rule Learning and Apriori
- Image Processing
– OpenCV
– Drawing Functions
– Basic Operations
– Arithmetic Operations, Blending and Transition
– Colour Spaces, Histograms, and Thresholding
– Bitwise Operations and Masking
- Computer Vision
– Object Tracking
– Optical Character Recognition
– Face Detection
– Facial Feature Detection
– Car Detection and Tracking
- Assignments
- Quizzes
