SRM INSTITUTE OF SCIENCE AND TECHNOLOGY
RAMAPURAM CAMPUS
COLLEGE OF SCIENCE AND HUMANITIES
(A Place for Transformation)
DEPARTMENT OF COMPUTER SCIENCE AND APPLICATIONS
Skill Elevation Club
Organized
ONE WEEK NATIONAL LEVEL STUDENTS’ CAPABILITY ENHANCEMENT PROGRAMME ON DATA SCIENCE
Date: 14.06.2021 to 20.06.2021
Guest Speakers:
1.Mr.M. Aravindh, (Ph.D), (MCA Alumni 2014 – 16), Research Scholar University of Adelaide, Australia
2. Mr. RAMAR BOSE (Ph.D), (MCA Alumni 2012 – 15), Full Time Research Scholar, Anna University, Chennai.
WELCOME ADDRESS: Dr.J. Dhilipan, HOD/MCA, Vice-Principal-Admin
Dr.J. Dhilipan -HOD/MCA, Vice-Principal-Admin presented the welcome address. During his address, he welcomed the chief guests of today’s function.
He added that SRMIST Ramapuram Campus is organising lot of activities for the knowledge elevation of the students. The Skill elevation club has organised this program for the School and College students with a motto of elevating their skills in the area of data science.
He concluded his address by stating that Data science is the hot cake in the industry and in near future, the entire industry will see a massive change by the impact of Data science. He requested the participants to make use of the forum.
Mr N KRISHNAMOORTHY, coordinator of the club introduced the guest to the audience
TECHNICAL SESSION:
Mr.M. Aravindh
Mr. RAMAR BOSE
Mr. Aravindh started the session with an introduction of What is Data Science?
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. He Explained about
- Linear Regression
- Logistic Regression
- Things you should know in data science-Python programming
What applications can we access using Navigator?
- JupyterLab
- Jupyter Notebook
- Spyder
- PyCharm
- VSCode
- Glueviz
- Orange 3 App
- RStudio
Mr Ramar Bose discussed about various Data science applications
- Fraud and Risk detection- credit card fraud detection – done based on analysing customer patterns and recent fraudulent behaviours
- Health care
- Targeted Advertising
- Website Recommendations
- Advanced image recognitions
- Speech Recognition
- Airline Route Planning
- Gaming
- Augmented Reality
- Fuzzy Rules
- Neural Rules
- Naive Bayes
- Random Forests
What applications can we access using Navigator?
- JupyterLab
- Jupyter Notebook
- Spyder
- PyCharm
- VSCode
- Glueviz
- Orange 3 App
- RStudio
Mr. Aravindh discussed about
- NLP
- Naïve Bayes
- Sentiment analysis
Mr. Ramar discussed about
- Data science Venn diagrams
- Data science goals and deliverables
- Predictions
- Recommendation systems used by Flipkart, Amazon
- Pattern detection
- Anomaly detection
- Recognition
- Actionable insights
- Automated process and decision making
- Scoring and ranking
- Segmentation
- Optimization
- Forecasts
- NLTK
- Tokenization NLP
- Word Embedding
Also discussed about
- Data preparation capabilities.
- Algorithms -basic and advanced
- Automation and interactive process.
- scalability
- Ensemble modelling
- Linear Regression
- Logistic Regression
- Decision Tree
- SVM
- Naive Bayes
- kNN
- K-Means
- Random Forest
He explained about the five essentials for starting your deep learning journey are:
- Getting your system ready
- Python programming
- Linear Algebra and Calculus
- Probability and Statistics
- Key Machine Learning Concepts
His address continued with the explanation of
- DL PACKAGES
- How do I start Deep learning?
- Steps for Deep learning
- How DL works
- Types of Neuron Layers
- DL for audio applications
Our AI solutions use computer vision to accelerate intelligent automation with simple tools for image processing, image recognition and object detection.
- Application demonstration
- Demonstrated a hands-on session on cartoon images handling using open cv
His address continued with the explanation of
- Support Vector Machine
- Recap of techniques learned so far
- Revision of AI, Machine learning and Deep learning
- Data science concepts
He concluded his address by explaining about
- Job perspectives in Data Science
- How to become an expert in the field of data science
- Finally, an online test was conducted by the guest speakers
- Most of the attendees have secured good marks
- The guest speakers appreciated all the participants for securing good marks
Mr.Aravindh then discussed about job opportunities in data science
Finally, the organizers explained about the Salient Features of BCA Data Science Course. Then the session was opened to the audience for interaction and clarification of their queries.
The entire sessionswere much useful for all the participants
Mrs.D. Kanchana, Assistant Professor/ MCA, proposed the vote of thanks
