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Hi šŸ‘‹, I'm VIPIN K

A passionate Data Scientist from India

vipinkvpk

  • šŸ”­ Iā€™m currently working on Data Science

  • šŸŒ± Iā€™m currently learning TensorFlow, Deep Learning, Computer Vision, NLP

  • šŸ‘Æ Iā€™m looking to collaborate on Data Science

  • šŸ¤ Iā€™m looking for help with Artificial Intelligence

  • šŸ‘Øā€šŸ’» All of my projects are available at https://linkedin.com/in/vipinkvpk

  • šŸ“ I regularly write articles on https://vipinkvpk.blogspot.com

  • šŸ’¬ Ask me about Machine Learning

  • šŸ“« How to reach me [email protected]

Connect with me:

vipinkvpk vipinkvpk vipinkvpk

Languages and Tools:

gcp git linux mssql mysql pandas postman pytorch scikit_learn tensorflow

vipinkvpk

VIPIN K's Projects

amazon-echo-reviews-sentiment-analysis-using-nlp icon amazon-echo-reviews-sentiment-analysis-using-nlp

In this project, we will predict customer sentiment using natural language processing techniques. In this project, we will build a machine learning model to analyze thousands of amazon echo reviews to predict customers sentiment. Artificial Intelligence and Machine Learning (AI/ML)-based sentiment analysis is crucial for companies to automatically predict whether their customers are happy or not. This project is practical and directly applicable to any company with that has online presence. The algorithm could be used automatically detect customers sentiment.

appliedaicourse icon appliedaicourse

This repo has all the code files which were created as part of the assignments to complete the Applied AI Course. The credit for code source structure and data goes to the Applied AI team.

awesome icon awesome

šŸ˜Ž Awesome lists about all kinds of interesting topics

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

cadcad icon cadcad

Design, test and validate complex systems through simulation in Python

cifar-10-image-classification-with-tensorflow-2.0 icon cifar-10-image-classification-with-tensorflow-2.0

In this guided project, we will build, train, and test a deep neural network model to classify low-resolution images containing airplanes, cars, birds, cats, ships, and trucks in Keras and Tensorflow 2.0. We will use Cifar-10 which is a benchmark dataset that stands for the Canadian Institute For Advanced Research (CIFAR) and contains 60,000 32x32 color images. This project is practical and directly applicable to many industries.

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