Introduction to Machine Learning

This 2 day " Introduction to Machine Learning " bootcamp event has been very useful for all attendees about getting to know that Machine Learning is an application of Artificial lntelligence (AL) that provides system the ability to automatically learn and improve from experience without being explicitly programmed .

Mr. Anurag Sinha (mentor) has a great understanding of Machine Learning and has published approximately 20 research papers in Indian and International journals . His writing has also been awarded as the best paper in the national research paper writing competition .It was an immense pleasure to have such a prominent speaker in Girlscript event's platform.He focused on various trends , applications and implementation of machine learning in solving real - world problem .

Each day session started by management team with very nice introduction of about our organisation and mentor at 6:05 . On 30th April and 1st May meeting ended at 7:20 and 7:30 respectively.

First day 53 and second day 51 attendees were present in the meeting respectively.

Topics that were covered by mentor on both the days are mentioned below :-
1st day :-
* Introduction to Machine Learning * Related fields of Machine Learning * The evaluation of Data Science * Data Science Vs Information * Data Mining ( Introduction and Application ) * AI , Machine Learning and Deep Learning and connection between them * How ML model is created ? * More on Machine Learning , its application and types . * Types of Machine Learning * Future scope of career option in this field * Job profile of AI * 14 most used data science tools

2nd day :-
* Evaluation of NPL ( Natural Language Processing ) * Text Mining , its area's , application and process * Tokenization * Stemming * Lemmatization * Application * Pattern Recognition (definition , its features ) * Types of project using ML * Model Evolution * Example of a Deep Learning Project - Face Mask Detector * Example of NLP project - Email Spam Filtering * Opinion Mining and Sentiment Analysis of Facebook Data * Twitter Data Set * Data Description * Conclusion of Data Analysis * Linear Regression * 4 independent variables * Step Involved

Last but not the least the Girlscript Jamshedpur would like to thank girlscript organisation and members , our guest speaker Mr Anurag Sinha and attendees for making session more interactive and taking forward the session towards great success.We are very pleased to share the successful outcome of our event .