Ashok Rajan C

• Analysis the problem of vendor and provide a solution
• Employed decision tree, random forest, and SVM models to predict diabetes occurrence. From a dataset consisting of female patients.
• Deployed a user-friendly interface (GUI) with Streamlit for instant diabetes predictions.
• Build a Predictive model for item demand using various machine learning tools and Plotly for interactive visualization. Crafted a
user-friendly interface (GUI) with Streamlit for real-time predictions.
• Build a ML model for predicting customer insurance subscription likelihood.
• Validated startup concepts through NLP analysis of Shark Tank India data. Created an intuitive user-friendly interface (GUI) website with Streamlit for efficient data exploration and instant predictions.
• Develop a recommendation engine using various machine learning models to determine the appropriate price of second-hand cars

Analysis the problem of vendor and provide a solution
Employed decision tree, random forest, and SVM models to predict diabetes occurrence from a dataset consisting of female patients
Deployed a user-friendly interface (GUI) with Streamlit for instant diabetes predictions
Built a predictive model for item demand using various machine learning tools and Plotly for interactive visualization
Crafted a user-friendly interface (GUI) with Streamlit for real-time predictions
Built a ML model for predicting customer insurance subscription likelihood
Validated startup concepts through NLP analysis of Shark Tank India data
Created an intuitive user-friendly interface (GUI) website with Streamlit for efficient data exploration and instant predictions
Developed a recommendation engine using various machine learning models to determine the appropriate price of second-hand cars