The deployed web-app is live now - HR Analytics Web-App Developed a Web-app, which predicts whether an applicant is looking for a new data science job or not with an Accuracy of 84.0%. Preprocessed the data to a specific data form which is suitable for machine learning models to learn. Performed Exploratory Data Analysis to visualize, summarize and interpret the hidden information in the dataset. Applied Dummy Encoding to all Categorical Features.

The deployed web-app is live now - Give Web-App a Try Developed an app that forecasts flight ticket prices with 94.88 % accuracy Preprocessed the data to a specific data form which is suitable for machine learning model Applied Dummy Encoding to Categorical Features such as Airline, Source and Destination Generated Feature Importance using Random Forest Algorithm Built a web-app using Streamlit and deployed it to the Heroku: A Cloud Application Platform – Feature Importance Plot – Prediction vs Actual Link to Dataset