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HTML, JAVA and CSS
Python with ML & DS
Coding as a Literacy for the 21st Century


with Machine Learning & Data Science
Jupyter Notebooks
Learn to collect data with sensors and display the data on Jupyter Notebooks; Learn to display the data, collaborate with team members, and create simple predictions with different types of data sets: [Preparing data (categorical); cleaning data; model selection; model training; evaluate the model; make predictions;]
Case Study - Create several projects based on Data Types- Decision Tree, Linear & Logistic Regression
Study the different types of data: Logistic regression, classification and linear regression; develop the model of each of the data types; carry out the predictions: Bakery; Insurance; Car Sellers; Bank Loans; Clothings.

Python Framework -Flask
Learn to build, deploy, and run your app in the cloud; Utilise GitHub essentials like repositories, branches, commits, and pull requests; Create a simple web app with a few static pages with Flask;


With Immersive Technology
Computer Vision & AI
VR and AR
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