Ishika Shrivastava's Projects
Sentiment analysis uses machine learning and natural language processing (NLP) to identify whether a text is negative, positive, or neutral. - Technology: Pandas, streamlit, joblib, Altair, seaborn, sklearn.
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DSN3099 (Engineering Project in Community Service) - Fitfinity a healthcare web application which asks users about their general health details and medical complications and recommends them their personalized Yoga Exercises and Dietary habits.
Get Ready with Me is a cutting-edge fashion web platform to leveraging personalize style
Apply the practices and procedures associated with the data analysis process to a given set of data.
Loan link is a Dashboard project that dyamanic representation of bank loan that help us to understand that to important insights by using techniques like data cleaning and KPI’s and connect from SQL query for good accuracy and good visualization that help bank to choose wisely loan customer
Recommender systems are defined as the supporting systems, which help users to find information, products, or services by aggregating and analyzing suggestions from source. -Technology: pandas, SQL HTML/CSS, JavaScript, Rich Module