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

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