Date: 4-10/07/2024
Time: 9:00 AM to 3:00 PM
Venue: MCA Department, LDRP-ITR
Participants: 99
Prof. Mahendra Khambhalia
- Assistant Professor of MCA Department at LDRP-ITR
Prof. Mahendra Khambhalia is an Assistant Professor in the MCA Department at LDRP Institute of Technology and Research. He is an expert in Advanced Networking, System Software, Soft Computing, and Data Science. Prof. Khambhalia's innovative approaches and teaching methods make complex topics accessible to his students. His extensive experience and expertise make him a valuable speaker and educator in the tech community.
Dr. Bhrantav Vora
- Assistant Professor of MCA Department at LDRP-ITR
Dr. Bhrantav Vora is an Assistant Professor in the MCA Department at LDRP Institute of Technology and Research. He specialises in Machine Learning, Artificial Intelligence, and Natural Language Processing. Dr. Vora has developed advanced recommendation systems and innovative web development solutions. He is known for making complex concepts accessible and bridging theoretical research with practical applications.
Date: 4-10/07/2024
Time: 9:00 AM to 3:00 PM
Venue: MCA Department, LDRP-ITR
Participants: 99
The first day started with Saraswati Vandana, followed by introduction to the speakers. Essential Python Libraries for Data Visualization & Data Analysis were introduced, along with practical sessions to reinforce learning.
On the second day, participants learned about machine learning and Python library NumPy. NumPy's role in mathematical operations and its applications in data science and machine learning were explained in detail.
On the third day, participants delved into the Pandas library, exploring its powerful data analysis features and practical applications, gaining essential skills for effective data manipulation.
On the fourth day, participants explored Matplotlib for data analysis, received comprehensive materials and datasets for hands-on practice, and were given a practice set to enhance their skills.
On the final day, participants were introduced to the Seaborn library for data visualisation, followed by a quiz and an appreciation program to conclude the event.