AutoSave off Project Proposal.docx v Design Layout References Mailings Review View Help Search Foxit PDF File Home Insert Draw X Impact (Body) 18 A A Aa AE Paste BIU x² A L A v Clipboard Paragraph Elena Zdravkoska EZ Comments Editing Share 8 Find Normal Strong EVENT HEven Replace Dictate Editor Add-ins Styles Select Editing Editor Add-ins PROJECT PROPOSAL Dataset: https://www.kaggle.com/datasets/mrsimple07/car-prices- prediction-data Project description: I chose this dataset so that I would be able to work on developing a predictive model for car prices estimation. I will be able to achieve developing the model by analyzing the features like make, model, mileage, condition so in the end that same model will predict the car's price. Approach: For my project, I plan to use linear regression and neural networks. I chose these two algorithms because in my opinion they will work the best for the project. Considering that linear regression is simple but effective for prediction of continuous values for example the car prices and it will provide me results that will be easy to understand, I will use it as the baseline model. On the other hand, the neural networks will help me, particularly the deep learning models to handle the complex patterns in the data which will help me with improving prediction accuracy. I will start with preprocessing the data, then I will split the dataset into training and testing sets. Next is training of both models, the linear regression as baseline and the neural networks to capture the complex patterns. After training them I will compare their performance. In the end I will choose the better model and try to improve it by deploying it with new and unseen data. I will be working in Python. Goal: Page 1 of 2 256 words English (United States) Accessibility: Investigate 76°F Search Partly cloudy My goal is to predict effectively car prices. I aim to achieve this by optimizing the algorithms that I chose and fine-tuning the model parameters. Focus ENG 12:52 PM 8/5/2024 50%