Hello everyone, This is a video related to #Sentiment #Analysis Case Study #Data #overview and real-time challenges.
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 real time, 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
Kaggle link: https://www.kaggle.com/datasets/crisbam/imdb-dataset-of-65k-movie-reviews-and-translation
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

Please take the opportunity to connect and share this video with your friends and family if you find it helpful.