Stroke Prediction

In this project, I used multiple machine learning models such as Logistic Regression, and Random Forest, to predict the stroke risk based on various factors such as age, BMI, glucose level, smoking status, and more.

Twitter Sentimental Analysis

Twitter sentiment analysis using TF-IDF involves tweet collection, TF-IDF score calculation for word importance, sentiment labeling (positive, negative, neutral). To enhance accuracy, consider incorporating word embeddings or deep learning models due to TF-IDF's limited contextual understanding.

HR Data Analysis Dashboard Using Tableau

I conducted a Tableau project analyzing attrition data, exploring department, gender, job satisfaction, and age-related trends. I used filters to assess education's impact on attrition and correlated age with attrition. I created interactive dashboards to communicate insights effectively, showcasing

Airbnb-Instant Bookability Prediction

My project predicts host instant bookability in travel using data preprocessing, NLP, and clustering. XGBoost excelled among nine models, emphasizing precision to minimize false positives. I deployed the model as an interactive app using Streamlit for easy sharing.