AI Machine Learning
Course Content
- Introduction to data analysis using Python
- Use of Matplotlib library for graphical representations
- File handling capabilities
- Game development using PyGame library
- Object recognition – objects, animals, objects from videos using OpenCV
- Speech recognition
- Handwriting recognition
- XML file handling protocols
- JSON file handling
- Introduction to Data Science and Big Data using ApacheSpark
- Data Science Process
- Intro to Machine learning
- Scikit library and usage
- Supervised Learning – Classification, Regression models
- Un-Supervised Learning – Clustering, Dimensionality
- Reduction models
- Prediction and forecasting from the ML models
- High level views on other emerging ML models
Who Will Benefit?
This course is ideal for any student completing their undergraduate or postgraduate degree who is keen to pursue a career in the growing field of Artificial Intelligence and Machine Learning.
Project Outcome
- Projects in Data science
- Prediction and Forecasting patterns in weather, stock markets, in recent Covid pandemic,
- Probability of an event happening
- Arriving in Real-time decisions
- Creating customer segmentation, sales forecasting
- Sentiment Analyser
Duration
60 Hours
Minimum attendance expectation
80%
Prior skills requirement
Basic Python Coding Skills Or Must Have Completed The ‘Python Primer’ Course.