Overview
The "Basics of Python and Applied Machine Learning" training program is designed to empower participants with the essential skills and knowledge needed to excel in the fields of programming and artificial intelligence. This program offers a comprehensive introduction to Python, covering foundational concepts and practical coding techniques. Participants will also explore key AI and machine learning principles, learning how to implement and apply these techniques to real-world problems. Through hands-on projects and guided exercises, attendees will gain practical experience in developing and deploying AI/ML models, equipping them with the tools to navigate the rapidly evolving technological landscape.
For Registration
Link: https://forms.gle/aNgxx4ByxhXEZqyz7
FEE STRUCTURE
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Module 1 - Python
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₹ 2000/-
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Module 2 - Machine Learning
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₹ 2500/-
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Total (Module 1 and Module 2)
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₹ 4000/-
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Payment Link/UPI
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Bank Name
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ICICI Bank Ltd.
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Branch Address
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Krishna Apra Royal Plaza, D-2, E(acb), Alpha-1, Greater Noida, Gautam Budh Nagar, UP- 201306
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Account Holder Name
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Sharda University-Seminar
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Account No.
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025405005815 (CURRENT AC)
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IFSC Code
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ICIC0000254
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SWIFT Code
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ICICINBBCTS
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MICR Code
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110229037
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modifiedDate_18Aug-13Oct2025_Python_Applied_Machine_Learning_Poster.pdf
Objectives of Event
· Foundational Python Skills: Equip participants with a solid understanding of Python programming basics including data types, control structures, functions and libraries so that they can write and debug simple Python scripts.
· Introduction to Machine Learning Concepts: Provide an overview of key AI/ML concepts such as Supervised and Unsupervised Learning, Model Evaluation Metrics and ML algorithms like Decision Trees, Random Forest, Support Vector Machines and Artificial Neural Networks
· Practical Application of AI/ML Techniques: Enable participants to apply AI/ML techniques using Python libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow) to solve real-world problems, including data preprocessing, model training & evaluation with applications in classification, regression and clustering.
· Hands-on Project Development: Guide participants through developing and deploying a simple Machine Learning (ML) project from problem definition, data collection, model implementation, performance optimization and fostering practical experience with problem-solving skills.
Convener Details
Prof. Ashok Kumar
Head, Center for AI in Medicine, Imaging & Forensics (CAIMIF), Sharda University
Email: ashok.kumar6@sharda.ac.in
Phone: 8294600356
Co-ordinators:
Dr. Shree Harsh Attri
Associate Professor, SSCSE & member CAIMIF
Email: shree.harsh@sharda.ac.in
Phone: 9810421143
Speaker Details:
- C. Mokaju Meitei chanambam.meitei@sharda.ac.in 8826913181
- Navita navita.1@sharda.ac.in 9555796766
- Sanju sanju.dabas@sharda.ac.in 8377832194
