theMLbook
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aburkov
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
Hi, I was wondering if you will be interested to improve the running time of prediction strenght file. I did some tests and it takes so long. I can volunteer...
Hi, I tried running [gradient_descent.py](https://github.com/aburkov/theMLbook/blob/master/gradient_descent.py). But it failed. ```bash $ python gradient_descent.py Traceback (most recent call last): File "gradient_descent.py", line 73, in x, y = np.loadtxt("data.txt", delimiter= "\t", unpack =...
Hello, I have installed all the Software Libraries required, and removed the header (the first line of Advertising.csv), removed the ids (the first column of Advertising.csv), and then replaced the...
It would be very helpful to list all the packages needed for this specific repository. It makes it easy to install with a pip list for beginners.
The book and the repository are very useful Andriy, thanks for all your work. I was reviewing this repo and at first sight, I felt some examples might not run...
Reading the Advertising.csv file from dropbox URL provided on The ML Book Wiki into a pandas data frame.
fix #2 #5 #6 This PR includes a few small updates I needed to make in order to get the first code example `gradient_descent.py` to run. I also included some...
