Hi everyone, I have a series of questions which I would be extremely grateful if you help me with them. First of all, from the first course of Machine Learning Specialization, Supervised Machine Learning. I want to do a simple project, which is to estimate house prices. I know it sounds stupid and way to easy, but I am a beginner and really did not understand from lectures or labs on 1. how to input our data and what type of file should it be? 2. My second question is, if for example we have four key indicators for price, how we should code them? (I mean x1,x2,x3,x4 how we create functions?) Should they be in a matrix form? If also someone shares the code for doing for example f_wb for this situation.
I think you will learn these answers if you continue working through the course, all of these topics are discussed.
There are lab assignments that contain exactly the sort of code you’re asking about.
The first thing to establish is, do you have some experience with Python programming?
Yes I have, I am not that much proficient but I understand the meanings of written programs and also code myself.
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this is more than a year later, but I am hoping you could provide solutions for the question you asked earlier. Thank you
Hundreds of people have posted publicly their data science and machine learning investigations with a very well known data set on home prices from Washington State, in the US. Here is just one random example:
If you search on key words from that summary you will find work written in R, Python, Jupyter Notebooks…it’s all over GitHub, AWS, Kaggle etc. Definitely can bootstrap your knowledge by reading and comparing a few of them. Let us know what you find?
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