Data Science and its Engineering Applications using Python @ G. Pullaiah College of Engineering and Technology (Autonomous), Kurnool

Participants Information

Participants: 46
Speakers:05
Female participants:25
Male participants:21
Participants from SC/ST category:01
Research Scholars:None

Topics Covered

  • Statistical Analysis using Python
  • Object Oriented Programming with PYTHON: Creating Classes and Objects
  • Object Oriented Programming with PYTHON: Multithreading, Errors & Exception Handling
  • Database Connectivity with PYTHON: Establishing Database Connectivity MySQL, Oracle
  • Database Connectivity with PYTHON: Performing Database Transcations(Inserting, Deleting and Updating the Database)
  • Advanced Features of Python
  • Comprehension and Generators
  • Modules, Packages, Standard Python Modules
  • Overview of Machine Learning packages in Python
  • Python APIs for Machine learning Implementation
  • Introduction to Machine Learning: Supervised Vs Unsupervised Learning; Examples
  • Overview of Classification and Clustering
  • Link Prediction
  • SVM and PCA
  • Re-sampling Methods
  • Cross Validation Methods

Highlights

List of Speakers

Dr. Sanjay Kumar Panda, Assistant Professor, IIITDM, Kurnool


Dr. Anup Jayant Kelkar, Director, Python Academy, Nagpur


Prof. R. B. V. Subramanyam, Professor & HOD, NIT Warangal


Prof. D. V. L. N. Somayajulu, Director, IIITDM, Kurnool


Dr. Bhat Dittakavi, CEO, Variance, Hyderabad


Feedback Summary

  • Coordination of the programme was excellent.


  • Program was research oriented and highlighted all current trends.


  • Effective resource persons coming from different backgrounds was major highlight of the program.


  • Course organization was good.


  • FDP was more beneficial for the participants to progress in their academic and research activities.

    • Suggestions from Participants

  • Require more hands on sessions with examples.