W AutoSave Off Project Proposal.docx v Search File Home Insert Draw Design Layout References Mailings Review View Help Foxit PDF Impact (Body) ▾ 18 ✓ A A Aa P T Normal Strong Paste BIU ab X X A ✓ A EVENT HEven Clipboard ☑ Font √☑ Paragraph √☑ 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 M English (United States) Accessibility: Investigate 76°F Q Search Partly cloudy Styles 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. И །། M | | > | > Elena Zdravkoska EZ 0 ☑ Comments Find ▾ Editing Share ▾ ठूল ย Dictate Editor Add-ins Replace Select √ Editing Voice Editor Add-ins Focus > 88 ENG 12:52 PM 8/5/2024 D 50% PRE

W AutoSave Off Project Proposal.docx v Search File Home Insert Draw Design Layout References Mailings Review View Help Foxit PDF Impact (Body) ▾ 18 ✓ A A Aa P T Normal Strong Paste BIU ab X X A ✓ A EVENT HEven Clipboard ☑ Font √☑ Paragraph √☑ 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 M English (United States) Accessibility: Investigate 76°F Q Search Partly cloudy Styles 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. И །། M | | > | > Elena Zdravkoska EZ 0 ☑ Comments Find ▾ Editing Share ▾ ठूল ย Dictate Editor Add-ins Replace Select √ Editing Voice Editor Add-ins Focus > 88 ENG 12:52 PM 8/5/2024 D 50% PRE

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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hey, i have to make this project but i am stuck. i have to work on kaggle with a chosen dataset. this is the project proporsal i have sent to the professor which includes the dataset link. i am a begginer and i cant find anyone to help me or information that i understand online to make the project. i would appreciate some help, it shpuld be really basic and addaptable for a very very begginer. any kind of help is appreciated. the project is for data mining and machine learning. I already have the project propoal, now I need the code in python that i have to execute using nejral networks and linear regression. The code can be veru very simple, because i am an ultimate begfiner. the link for the dataset is

https://www.kaggle.com/datasets/mrsimple07/car-prices-prediction-data

Please do mot use ai and if any part of the code are from the internet highligh them. It should be in python preferebly tried on kaggle just for esier understandimg. If you could also make the test and training sets more visually better with graphs and similar i would be infinitely grateful. Thabk you a lot.
this is also an important part that you should follow:
. Implementation of their own data mining or machine learning
algorithm: In this project, the student implements a selected algorithm
in a chosen programming language.
also please follow what i said in the report it should be done what i have written there

i would be gratefull if there would be more diagrams and data to show that the model was well trained and tested. it is very important to me but i cant figure it out alone please help. it is also important to tell me if any lines of yhe code are from the internet or ai generated because i need to give refrence at the end. thank you infinetly.

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Home Insert Draw
Design Layout References Mailings Review View Help
Foxit PDF
Impact (Body)
▾ 18 ✓
A A Aa P
T
Normal
Strong
Paste
BIU ab X X A
✓
A
EVENT HEven
Clipboard
☑
Font
√☑
Paragraph
√☑
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 M
English (United States)
Accessibility: Investigate
76°F
Q Search
Partly cloudy
Styles
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.
И
།།
M
| | > | >
Elena Zdravkoska
EZ
0
☑
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88
ENG
12:52 PM
8/5/2024
D
50%
PRE

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