News & Events

SDP on Introduction to Machine Learning

Resource Person : Mrs.T.Subha, Associate Professor/IT, SSEC

Date : 17th FEB – 22nd FEB 2020

Time : 10.00 AM to 04.00 PM

Venue : CSE Seminar Hall

Target Participants : CSE Students and Faculties (Around 170 Participants)

Topics covered :

  • Introduction to Linear Algebra, Machine Learning and its use in research, Overview of Machine Learning, Utility, classification of ML systems, example of applications
  • Introduction to Jupyter Notebook and Google Colab
  • Supervised vs. Unsupervised Learning, Linear Regression with one variable (and any associated topic).
  • Introduction to Python, NumPy and Pandas
  • Gradient Descent
  • Data visualization, Data pre-processing (handling missing data, data cleaning, transformation), Implementation of Gradient Descent
  • Linear Regression with multiple variables
  • few examples of Linear Regression using Python
  • Logistic Regression
  • few examples of Logistic Regression using Python
  • Good Practices in Machine Learning (Special Session) Participants will be given time to prepare assignment

View Brochure

View Event Report