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Workshop Report on Machine Learning and NLP

Date: 12-04-2024


Batch: 2021 and 2022

Resource Person: Ms. Kirti Gupta

Time: 10:30 AM to 1 PM

 Objective: The workshop aimed to provide participants with a comprehensive understanding of Machine Learning (ML) and Natural Language Processing (NLP) concepts, along with practical implementation in Python. The workshop covered theoretical concepts as well as hands-on exercises to ensure a holistic learning experience.

Workshop Overview: The workshop commenced with an introduction to Machine Learning and NLP, providing participants with a clear understanding of the key concepts and their applications. The theoretical sessions were accompanied by practical demonstrations using Python, allowing participants to grasp the implementation aspect effectively. Participants were guided through the entire ML process, starting from data pre-processing techniques such as handling null values and outliers to model training and evaluation. Various regression, classification, and clustering algorithms were covered, and participants were given hands-on experience in implementing these algorithms on different datasets. The NLP segment of the workshop covered fundamental text pre-processing steps like tokenization and stop words removal, followed by building a text classification model using Naive Bayes and utilizing pre-trained models like Word2Vec for word embeddings.

 Quiz Session: A quiz was conducted to assess the understanding and retention of concepts among participants. Those who achieved the passing cut-off in the quiz were awarded certificates as recognition of their participation and successful completion of the workshop.

Conclusion: The workshop provided participants with a solid foundation in both Machine Learning and Natural Language Processing. By combining theoretical knowledge with practical implementation, participants gained valuable insights and skills that can be applied in real-world scenarios.

 The interactive nature of the workshop, along with the quiz and certificate distribution, contributed to an engaging and fruitful learning experience for all attendees.