LIT-DAC (Live Innovate and Transform – Data Analytics Club)

★ To demonstrate the importance and use of data analytics, and elaborate about the career paths.
★ To enhance statistical understanding and data intuition by data pre-processing.
★ Understanding machine learning algorithms and problems associated
★ Project building on IBM Watson chatbot, MLkit and text classification.
★ Analysis and understanding of feed forward neural networks and deep learning.
★ Understanding and experimenting with advanced AI tools like AI gym.

★ Students are equipped with the understanding of data analytics and preprocessing.
★ Students are able to develop real world automated solutions for various projects embedded with AI technology.
★ Hands on with need of the hour technology like IBM Watson, Azure, Google cloud, spider and data brick data bases.
★ Efficient understanding and hands on AI tool kit like AI gym and MLkit.

Guest Lecture on Industry Use Cases : CNN in computer vision by Usha Rengaraju, Principal Data Scientist at Polymath.
ConFab: A technical discussion on AI and Machine learning
Project Drive for Appiva Software in Collaboration with PAT team for 4 to 6 weeks of Internship (work from Hostel) in Python and Machine Learning.
Data Streak Competition
Baking the Pi
Lecture and Discussion on Android Intelligence