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data_science_project's Introduction

Hey! Am Nabanita.. Welcome to my GitHub Repository ⭐

nabanita-roy nabanita-roy nabanita-roy

Data Scientist @ EY (UK & Irleand) | Education Lead @ Women in AI Ireland | Blogger @ Medium | Money20/20 RiseUp Cohort Europe '22 | Speaker | Mentor

πŸ“½ Meetup/Conference Talks:


βœ’ My Latest Blogs:

Representing text data as vectors are necessary for applying Machine Learning techniques to make predictions, recommendations, or clusters. The concepts of β€œSparsity” and β€œDensity” arrive at efficiently designing and constructing these vectors for all high-dimensional data processing use-cases in the world of Artificial Intelligence. Read more...

Tracey Davis, the Founder & President of Money20/20 and the founder of the RiseUp initiative, opened the session of RiseUp Europe 2022 by quoting Kahina Van Dyke from Standard Chartered Read more...

In my previous article on Multiclass Text Classification Using Keras to Predict Emotions, I compared the outcome of the usage of skipgrams to give a deep text classifier a headstart with learnt word embeddings for predicting emotions with that of another deep text classifier that learns the embeddings from scratch... Read more...

Learn Python's useful built-in functions focusing on NLP use-cases Beginner in Python & interested in Text Processing? Then read on... Natural Language Processing is in high demand now and Python has built-in functions to support whatever you need for processing and... Read more...

βœ’ Volunteering Experience:

    βœ’ Python & Data Science Instructor @ WAIA
    βœ’ Machine Learning Engineer @ Omdena
    βœ’ Natural Language Processing Workshop Instructor @ WAIA
    βœ’ Mentor @ AnitaB.org | WAI Ireland


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πŸ’¬ Ask me about Python, Data Analysis, Data Science, Career Development, Natural Language Processing, Women in AI
πŸ“« How to reach me: [email protected] or [email protected]
πŸ”­ I’m currently working on Deep Learning for Text/Code Generation
πŸ‘― If you are looking for collaborations for Data Science projects - check out WaiPRACTICE

data_science_project's People

Contributors

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