April 15, 2022

Build A Model That Can Predict Whether a Company Will Go Bankrupt or Not

In this project, I have explored data collected by a team of Polish economists studying bankruptcy. The goal is to build a model that can predict whether a company will go bankrupt or not. Navigate a file system from the Linux command line Extract data that’s been stored in a JSON file. Address imbalanced data using resampling techniques Expand decision tree model into an entire forest (ensemble model) Use a grid search to tune hyperparameters; and create a function that loads data and a pre-trained model, and uses that model to generate a Series of predictions.

April 1, 2022

Build a Deep Learning Model to Predict whether a Borrower will Payback Loan or Not

LendingClub is a US peer-to-peer lending company, headquartered in San Francisco, California. It was the first peer-to-peer lender to register its offerings as securities with the Securities and Exchange Commission (SEC), and to offer loan trading on a secondary market. The historical data on loans given out with information on whether or not the borrower defaulted (charge-off). The goal is to build a model that can predict whether or nor a borrower will pay back their loan.

March 10, 2022

SpaceX Falcon 9 Rocket Launch, Rocket’s First Stage Landing Outcome and Cost Prediction

Data collected from SpaceX Public API and SpaceX Wiki Page, and data processed by data collection API and web scraping. Exploratory Data Analysis (EDA) with data wrangling, data visualization Interactive Visual Analytics with Folium and interactive dashboards with Plotly Dash Logistic Regression, Support Vector Machine, Decision Tree Classifier, and K Nearest Neighbors machine learning models were used to predict the outcome. Link to GitHub Repository