The Department of Computer Science and Engineering organized Six days workshop on “Data Science Using Machine Learning” from 13^th May 2024 to 18^th May 2024.The program was organized for second year students.

Dignitaries on the dais during the Inaugural Programme

DAY 1:

The Course begins with an introduction to data science and the role of machine learning within it. The session covered the introduction to simple python codes and it’s working. The session also covered features of python.

Resource person interacting with students during Hands-on session

DAY 2:

On the second day, the focus shifts to exploratory data analysis (EDA) and data visualization. The morning session covers descriptive statistics, pattern identification, and feature engineering.

DAY 3:

Day three introduces supervised learning with a focus on regression. The morning session covers the basics of supervised learning, linear regression models, and their assumptions.

DAY 4:

The fourth day is dedicated to classification algorithms. The morning session covers logistic regression, decision trees, and k-Nearest Neighbors, along with model evaluation techniques like confusion matrices and ROC curves.

DAY 5:

Participants explored unsupervised learning on the fifth day, starting with an introduction to its applications and key differences from supervised learning. The morning session covers clustering algorithms such as k-means, hierarchical clustering, and DBSCAN.

DAY 6:

The final day emphasizes model deployment and a capstone project. The morning session introduces model deployment using Flask and Django, building REST APIs, and deploying models on cloud platforms like AWS, GCP, and Azure.