A crash course to introduce you to data analysis. You’ll learn about various terminologies in data analysis and machine learning, like supervised learning (classification, regression) and unsupervised learning (clustering). You’ll learn algorithms like decision trees, k-nearest neighbors, linear regression, k-means, neural networks and deep learning. You’ll also learn the basics of Python, and how to use the mentioned algorithms through Scikit-learn module in Python. And finally, you’ll learn to non-programmatically do data analysis using Weka. [Course Home]
You’ll learn to create a mobile (wheeled) spy-robot that you would be able to control using an Android phone or the Internet. You would learn what an Arduino is and how to program one. Also, you would learn about various components of a mobile robot, like DC motors, motor drivers, ultrasonic sensors, Bluetooth modules, and how to control all of them using an Arduino and an Android smartphone. You would also learn about other robots/embedded systems, and how to get started in the world of Internet of Things (IoT). [Course Home]
Click here to download the presentation from the demo class.
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