Data Classification (100 points)
Consider the iris flower dataset, which includes information about different variations of iris flowers. (The data can be accessed at Kaggle.com.) Create a Jupyter notebook file that includes the following:
An explanation about different classes that already exist in the dataset.
Python code that builds different data classifiers (at least two) using the different classification algorithms, trains those classifiers using the training data, and displays their accuracy results.
Python code to run those classifiers on the test data and compare their results and accuracy. Discuss the reasons for different accuracies.
A summary of the results and your findings.
Important Notes:
Submit only one .ipynb file that includes all the code and be sure not to submit any other file format.
Be sure to include a clear explanation before each step you do in a markdown cell in the file.
Be sure to include your name, the date, your class section and the name of your program at the top of your file in the first cell of the file (markdown cell).
Be sure to add a table of contents at the second cell in the file (markdown cell).
Comment your source code and describe your code to someone who may be viewing it for the first time.
Your code should be executable and use meaningful variable names
Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.
You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.
Read moreEach paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.
Read moreThanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.
Read moreYour email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.
Read moreBy sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.
Read more