A Deep Learning Model using Keras TensorFlow to Predict Breast Cancer

Deep Learning model using Keras Tensorflow has been built to predict the breast cancer whether it is Malignant or Benign. UCI ML Breast Cancer Wisconsin (Diagnostic) datasets is used. Exploratory Data Analysis: Get an understanding for which variables are important, view summary statistics, and visualize the data Created a binary classification model using Keras TensorFlow Adam optimizer has been used in this model Model performance has been evaluated. Link to GitHub Repository

Earthquake Damage Prediction in Gorkha, Nepal

In this project, I worked with data from Open Data Nepal to build classification models to predict building damage from the Nepal 2015 Earthquake primarily with data from the Gorkha district. Collected data by querying a SQL database. Wrangling Data with SQL Built a logistic regression model for classification. Build a decision tree model for classification. Create a horizontal bar chart to find out the Gini Importance. Incorporate ethical considerations into model building.

Housing in Mexico

Worked with a dataset with 21,000 properties for sale in Mexico through the real estate website Properati.com. The goal is to determine whether sale prices are influenced more by property size or location. Organized information using basic Python data structures. Imported data from CSV files and clean it using the pandas library. Created data visualizations like scatter and box plots. Examined the relationship between two variables using correlation. Link to GitHub Repository