Data Science and Its Applications - Online Mode

Participants Information

Participants: 82
Speakers:09
Female participants:47
Male participants:35
Participants from SC/ST category:0
Research Scholars:0

Topics Covered

  • Introduction to Data Science
  • Python Environment, Setup and Essentials
  • Mathematical and Scientific Computing with Python
  • Data Pre-processing
  • Neural Networks
  • Probability and Statistics for Data Science: Random Variables and Distributions
  • Regression Techniques and their Implementations with R Language
  • Probability and Statistics for Data Science: Bayesian Learning
  • Data Visualization Techniques
  • Applied Machine Learning using Open-Source Tools
  • Optimization based Dimensionality Reduction and Parameter Tuning for ML Applications
  • Decision Trees
  • Recommendation Systems
  • Natural Language Processing
  • Reinforcement Learning with Python
  • Prediction using Scikit-Learn
  • Predictive Analytics
  • Clustering Paradigms and Associated Algorithms
  • Ensemble Learning

Highlights

List of Speakers

Dr. Aakanksha Sharaf, Assistant Professor, NIT Raipur


Dr. Venkateswara Rao Kagita, Assistant Professor, NIT Warangal


Dr. Bala Prakash Rao Killi, Assistant Professor, NIT Warangal


Dr. Sanjaya Kumar Panda, Assistant Professor, NIT Warangal


Dr. Dillip Singh Sisodia, Assistant Professor, NIT Raipur


Dr. Santosh Kumar Sahu, Sr. Programming Officer, GEOPIC, ONGC, Dehradun


Dr. Subhojit Ghosh, Associate Professor, NIT Raipur


Dr. Jitendra Kumar Rout, Assistant Professor, NIT Raipur


Dr. Sri Khetwat Saritha, Assistant Professor, MANIT Bhopal

Feedback Summary

  • FDP was very informative and qualitative.

  • The program was organized perfectly.

    • Suggestions from Participants

  • Participants requested to conduct more Hands on Sessions.