python project and need the explanation and answer to help me learn.
A)For this part you are to do the training found here which describes the problem and walks through a possible solution. Make sure to add your name and email in the header of the Jupyter notebook you will be submitting. This notebook must be your work only.
B)Once you have finished the tutorial up to and including step 6, please document the code and label the following sections in your notebook if they exist.
1)Data Preprocessing: In this step, the collected data is cleaned and preprocessed. This could include removing duplicate data, dealing with missing values, data normalization, data type conversions, and other similar operations. Please explain in your notebook in our own words which techniques you used, why and what did you learn from it?
2)Feature Engineering: This step involves selecting the relevant features (variables or attributes) that will be used to train the machine learning model. It also involves creating new features from existing ones to improve model performance.
3)Model Selection: Here, you select the model that you want to use. This could be a decision tree, a neural network, a linear regression model, or any other type of machine learning model. This decision is usually based on the problem you’re trying to solve and the nature of your data.
4)Training: In this step, the selected model is trained on a portion of the data using a suitable algorithm. This is where the model learns the relationships between features and target.
Validation/Evaluation: After training, the model is tested on the remaining data (that it hasn’t seen before) to evaluate its performance. Metrics like accuracy, precision, recall, F1-score, ROC AUC, etc. are used for this purpose depending on the problem at hand (classification, regression, etc.).
C) Now try to improve on your results using another model and Chat GPT. Be sure to document your final result as you did above. Please attempt at least 5 queries to improve your code.
In your Jupyter notebook, please write the queries you made to Chat GPT and the response that Chat GPT provided. Then if you incorporate it into your solution, be sure to document your code. The goal is to use Chat GPT to improve the code from the tutorial. Readability and runnability are key!
You will find the place to upload the code in Blackboard tomorrow morning.
Enjoy the summer!
Below are some Chat GPT tutorials.
ChatGPT Prompt Engineering for Developers: A short course from OpenAI and DeepLearning.AI
How to Use Chat GPT to Write Code | A Beginner’s Guide
How ChatGPT Works Technically For Beginners
link for datasets:
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