Frequently Asked Questions
Tentative schedule of all the fun filled activities and workshops
Designed for beginner level attendees, this workshop will get you started with the ideation process and give you an idea of the hackathon process. We will go through the design thinking process to help you build a product at the end of the hackathon. We will cover some libraries and frameworks that you will surely find useful for rapid development. Appropriate pitching and presntation techniques for your hack will also be covered.
Learn how to use REST APIs to make your applications really versatile! Get information through these APIs, offload heavy computing to servers and more with REST APIs. This workshop will teach you the basics of APIs, how to call REST APIs and make your own!
In this workshop, you will learn how to do an Exploratory Data Analysis (EDA) on a real-world data set using Python. Exploratory Data analysis is the first step of data science which is used to describe the data to identify underlying patterns and test hypothesis using a range of statistical and visualization techniques. The whole process of data cleaning, identifying relationships and data visualizations will be covered. The python packages that will be used are Numpy, Pandas, Matplotlib and Seaborn.
Machine learning models often run in complex production environments that can adapt to the ebb and flow of big data. The tools and practices that help data scientists rapidly build machine learning models are not sufficient to deploy those models at scale. To deliver scalable solutions, you need a whole new toolset. In this workshop we will be covering to analyse Big Data and train ML algorithms using PySpark.
You should see the Tan Chin Tuan Lecture Theatre towards your right!