Machine Learning with 9 Practical Applications Online Course
Machine learning is becoming a more important analytical tool for organizations, allowing them to extract useful information from raw data and provide accurate assessments and sophisticated solutions to data-rich situations.
The Machine Learning: Practical Applications course focuses on the practical applications of machine learning in current business analytics and prepares you to apply machine learning techniques to real-world business situations. Students will gain practical experience in training deep and machine learning models using real-world datasets in this course.
Course Key Learning
Machine Learning Deep Learning & 9Practical Applications
- App-01 Simple Stock Price
- App-02 Simple Bioinformatics DNA Count
- App-03 EDA Basketball
- App-04 EDA Football
- App-05 EDA SP500 Stock Price
- App-06 EDA Cryptocurrency
- App-07 Classification Iris
- App-08 Classification Penguins
- App-09 Regression Boston Housing
Who should attend?
- Consultant & programmers drive key transformation projects for organization
- Professionals willing to develop career in Machine Learning /Data Sciences
- IT Manager / Business Analyst / Data Analyst/ Data Scientist / Database Admin
Course Pre-Requisites & Credit Hours
- Course Pre-Requisite – None
- Credit Hours – 60 (Lectures 30 hrs + 30 hrs Exercises & Examples )
- Course Duration 2 Months
Educational approach
- Lecture sessions are illustrated with case studies, practical questions and examples
- Practical exercises include Machine Learning, Data Visualization examples and discussions
- Install and Configure you Big Data, Machine Learning platform using industry famous tools
Python Virtual Environments Download
Flexible Class Options
- Corporate Group Training | Fast-Track
- Week End Classes For Professionals SAT | SUN
- Online Classes – Live Virtual Class (L.V.C), Online Training
