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This project carefully studies the customer reviews of a airline company, around 10,000+ reviews are collected through webscrapping and and by sentiment analysis captured the expierence of the customers. And based on that designed a Machine learning algorithm which is a random forest classifier to predict customers who are likely to book seats.

Home Page: https://www.airlinequality.com/airline-reviews/british-airways

Jupyter Notebook 0.67% PowerShell 0.10% Shell 0.03% Python 99.19%
data-analysis model-building random-forest-classifier sentiment-analysis web-sc

customer-segmentation-sentiment-analysis-and-predictive-modelling.'s Introduction

Hi ๐Ÿ‘‹, I'm Vamsi Krishna Surisetti

Data analyst and Data scientist.

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๐Ÿ’ก MY WORKS:

  • โš™๏ธ DATA ANALYTICS

  • ๐Ÿ’ฒ DATA SCIENCE

  • ๐Ÿค MACHINE LEARNING

  • ๐ŸŒฑ Iโ€™m currently working with Deep learning Algos and AWS tools.

  • ๐Ÿ‘จโ€๐Ÿ’ป All of my projects are available here

  • ๐Ÿ“ I regularly write articles on MEDIUM

  • ๐Ÿ’ฌ Ask me about Data science, ML and Future Trends.

  • ๐Ÿ“ซ How to reach me [email protected]

  • ๐Ÿ“„ Know about my experiences Here

  • โšก Fun fact Why do data scientists prefer dark chocolate? Because they appreciate a good byte of information!

Connect with me:

vamsi_18 https://www.linkedin.com/in/vamsikrish24/ vamsionkaggle24 @iamvkrishna24

Languages and Tools:

aws docker flask git jenkins matlab mysql pandas python pytorch scikit_learn seaborn tensorflow

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I love connecting with different people so if you want to say hi, I'll be happy to meet you more! :)


Created with ๐Ÿงก by VAMSI_KRISHNA_SURISETTI

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