Created end to end machine learning model for to predict sentiment is positive or negative based on mobile owners comment. The final model is deployed on Heroku using Flask framework. Technology/Tools – Python, Pandas, Sklearn, NLTK, Flask, Heroku.

Built an end to end machine learning model that can predict possibility of heart failure. Created random forest model to make predictions. The final model is deployed on Heroku using Flask framework. Technology/Tools – Python, Pandas, Sklearn, matplotlib, Seaborn, NLTK, Flask, Heroku

The objective of this project is to build a machine learning model that can predict fraud policies

Created end to end machine learning model for to predict sentiment is positive or negativebased on mobile owners commentThe final model is deployed on Heroku using Flask framework

Collects data, analyzes data, and find trends,tested stationarityPredicts future 3 quarter Gasoline production and demand