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.
• Performed several machine learning algorithms such as Support Vector Machine, Decision Tree, Random Forest, Logistic Regression, KNN, and XG Boost.
• Improved the performance of Logistics Regression & Random Forest models by re-training them with SMOTE, a technique to synthesis new samples in minority class (in our case its class 1).

Link to Dataset

• Classification
• Streamlit
• Heroku