Breast Cancer Prediction

The project is aimed to build a predictive model that can make prediction based on the input given to it. It can predict whether the cancer is 'malignant' or 'benign'. The data was collected from 'Kaggle'.

Sales Insight

Objective: Create an interactive Power BI dashboard to visually analyze sales data from a MySQL database, enabling informed decision-making based on insights gained from the data.

House Price Prediction

This project series focuses on house price prediction. Using the Bengaluru Home Price dataset, a linear regression model was developed with data cleaning, feature engineering and hyperparameter tuning. The model, along with pickle & JSON files, can be hosted for interactive predictions on a website.

Exploratory Analysis on Global Terrorism

This project conducts exploratory analysis on a global terrorism dataset to uncover patterns, trends, and factors related to terrorist incidents. Insights gained will inform counterterrorism strategies and promote global security.

Spam Mail Detection

Leveraging machine learning, we construct a model to accurately detect spam emails. Using Python and logistic regression, along with data cleaning techniques, we enhance performance, providing a powerful tool to combat unwanted email clutter and security threats.

Stock Price Prediction

The project's goal is to create a machine learning model for forecasting stock prices. A powerful predictive model was created to anticipate future stock values using historical price data, technical indicators, and sentiment research. This will improve the market's capacity for decision-making.