Hello everyone, This is a video related to #datapreprocessing and #EDA for #Sentiment #Analysis Case Study. In this project, we performed real-time #datapreprocessing and #exploratorydataanalysis at the industry level.

Furthermore, I have also prepared a 7-video playlist covering all phases of the data science project for this case study:
data preprocessing, exploratory data analysis, feature engineering, feature selection, selection, evaluation, implementation xai explainable ai
If you are looking for a career transition in Data Science or you are fresher and want to start your career in Data Science. Then this project will help you start working on a data science project.
In this project you will see how to approach any data science project in the real-time industry, from data preprocessing to model deployment on AWS clouds.

Subscribe to my channel: https://www.youtube.com/channel/UCrAdJiA-mm-AcDDfGlIsPLg

More from Devvrat Rana:
Read my personal blog: https://medium.com/@ranadevrat/xai-explainable-ai-by-using-lime-eb59120e5ea3
Follow me on Linkedin: https://www.linkedin.com/in/devvrat-rana-8a3ba040/
Find me on Twitter: https://twitter.com/ranadevrat
Website: https://optimalxai.com/
GitHub: https://github.com/OptimalXAI/Sentiment_Analysis_Case_Study.git
Tools used in this #sentiment #analysis project: pandas numpy python sklearn matplotlib shap , LIME, aws , flask github wordcloud xai seaborn cloud ai machinelearning nlp natural language processing text cleaning text analysis data analytics

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