Let's try it #1 : Installing software packages for ML

                  Installing software for ML

Ashur Baroutta

After reading about various high level AI/Machine learning applications it seemed natural to attempt a basic ML project. The intent is to import a dataset and make a prediction about that data. In this case the dataset will be student information donated by UCI and trimming the data set to the desired attributes to train the linear regression model. 

Before getting to that stage, we need to install the necessary software packages. Given the code will be edited/written in python, I've installed Pycharm as that is my preferred IDE. Any python IDE should suffice. 


Once the IDE is selected, we install TensorFlow onto our system. TensorFlow is a library of software specifically suited for machine learning and artificial intelligence applications. It is also free and open source, available at tensorflow.org.


The idea is to download the following student data provided by University of California Irvine and setup a linear regression model to train on the data and predict a students final grade based on a number of attributes. In the next blog post, we will take a look at the dataset more specifically and start trimming it down to the attributes we want the model to train on. 


Cited

https://archive.ics.uci.edu/ml/datasets/Student+Performance

Comments

  1. EricaJanuary 5, 2022 at 8:28 AM

    Ashur,
    I love this! Can't wait to see how it progressed.

    ReplyDelete

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