$**$you can choose any datatset you want from kaggle as long as it meets the requierment below, and it does not contain images $.$

$**$please provide me with the name of the data u chose so i could find it $.$

$**$ i want you to provide me with a full functional code that meets all the requierments of this assignment $($not just insructions on how to solve it $)$

$-$ thank you in advance $.$

In this project you are asked to solve aproblem of your choice $($regression or Classification$),$ you could obtain dataset from Kaggle or

any other data resources.

You have to follow the instructions below:

$1-$ Dataset Selection: You have to look for a dataset that you can use in your project. Here is some general guidelines on how to select the dataset:

a$.$ The number of sample in the dataset should be large enough to be able to develop an accurate model. For tabular data more than $700$ samples should be sufficient.

b$.$ The dataset should be balanced.

c$.$ Avoid working on dataset with images due to the limited hardware resources.

e$.$ In the Jupyter notebook you should write general description about the data used. Number of feature and in which domain this data will be used.

$2-$ Data Preparation: You have to prepare the data for training using the techniques that you learned in this course $($Artificial Intelligence and Machine Learning$)$ including data visualization and analysis.

$3-$ Model Training and Testing: You should train different models using different metrics and select the model with the best performance results. Results analysis should be

thorough.

The Jupyter notebook should be comprehensive and contains explanation and reasoning about the used procedure.