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Projects
1. A Prediction of CO2 Emissions in Different Countries with Multiple Factors
Project description countries, whether it being undeveloped, developing, or developed, all have emitted global carbon dioxide in one way or another. Factors causing these emissions differ per country, which is the focus of this paper. We analyzed multiple countries with different predictors of carbon dioxide (CO2), such as gross domestic product (GDP) per capita, country development, population, etc. Using these factors, we built and ran several predictive models and collected the root mean square error for each of the models to determine the best model, which is the boosting model. This leads to the findings of the significant factors of Carbon Dioxide emissions, which includes urban population and total energy consumption. This paper will discuss different factors of CO2 emission, the building of the predictive models, significant predictor variables of CO2 emission, and the interpretation of the Environmental Kuznets Curve (EKC) given our predictive model
2. Premier League API
3. Self-parking bot
Project description This project aims to build a robot that, when launched in a parking garage, is able to move around between the lanes and is able to detect the presence of an empty or full parking space and park itself. The project helps the robot to sense its surrounding using its camera, laser sensor, and odometer. These sensors helps the robot to find the empty space and then to move forward and park itself. The bot when first enters the parking lot it moves towards the very first parking space, when it is able to mask the lines of a parking space it stops and turns and checks the parking spaces, on its left and on its right. If a vehicle is already parked then the laser scanner comes into play and lets the robot know the parking spot is taken. So, let the left parking spot is taken and the robot has checked it. The odometer helps the bot know that the left spot has been checked, hence now the right parking spot is checked. If the right parking spot is empty the bot parks itself or else it moves forward to check the other parking spots.
4. Uber and Lyft Price Forecasting
The project descriptionThe idea of the project is to forecast the prices of Uber and Lyft using forecasting methods like the moving average method, exponential smoothing, and holt's double exponential smoothing method.