📚Follow a step-by-step process to train your first machine learning model.
💻Use Jupyter Notebook and Python to execute the code and complete the assignment.
🧪Explore and download the dataset to analyze and train the model.
📝Replace question marks in the notebook with appropriate code or values to ensure it runs properly.
🔢Scale numeric values and encode categorical columns in the dataset for training.
What is the purpose of this assignment?
—The purpose of this assignment is to give you hands-on experience in training your first machine learning model and applying the concepts and techniques learned in the course.
What tools and technologies will I use for this assignment?
—You will use Jupyter Notebook, Python, and the scikit-learn library to complete this assignment.
How do I submit my assignment?
—You can submit your assignment by running the 'jovian.submit' command in the notebook or by pasting the notebook link on the assignment page.
What should I do if I encounter errors or exceptions while running the code?
—If you encounter errors or exceptions, carefully review your code and ensure that you have followed the instructions correctly. You can also seek help from the community forum if needed.
How long will it take to receive a grade for the assignment?
—The evaluation process may take some time due to the large number of submissions. You will receive a grade within a few days of submitting your assignment.
00:00In this video, we will guide you through the process of training your first machine learning model.
09:42You will be working on assignment one, where you will train a model to predict the price of a house.
13:22You can use the provided starter notebook to complete the assignment.
16:31You will learn about Ridge regression and how to use it to train your model.
18:45Make sure to submit your completed assignment for evaluation and receive a grade.
