mgalarnyk / python_tutorials Goto Github PK

If i Run With CMD / Terminal .. there is no happened . but if i running with Jupyter Notebook.. it will show the graph.. what should i do if i want show it grafic, via terminal or CMD.. thankssss

I love the blog and the explanations of some of the topics I was reading. Also, I would like to use one figure that can be obtained with the scripts you provide. However there is no explicit license of doing it.

Hi
I 'm trying to use your code but it gave me this error:

ModuleNotFoundError Traceback (most recent call last)
in
1 import pandas as pd
2 import numpy as np
----> 3 import matplotlib.pyplot as plt
4 from sklearn.decomposition import PCA
5 from sklearn.preprocessing import StandardScaler

ModuleNotFoundError: No module named 'matplotlib'

Can you help me to solve it?

Thank you

Some of the calls (ex. sleep data for a range) seem to be available only in 1.2.

What other algorithms would you say are better than Logistic Regression? and how did you do the inverse transformation?

I've built a repo of your notebooks here
https://mybinder.org/v2/gh/pleabargain/Python_Tutorials/master
you can do the same for yours.

best

While following part2 of the tutorial:
https://medium.com/@GalarnykMichael/logistic-regression-using-python-sklearn-numpy-mnist-handwriting-recognition-matplotlib-a6b31e2b166a

For some reason, ‘loadmnist’ method did not work very well for me.

I faced an error:
errorTraceback (most recent call last)
in ()
1 train_img, train_lbl = loadmnist('data/train-images-idx3-ubyte'
----> 2 , 'data/train-labels-idx1-ubyte')
3 # test_img, test_lbl = loadmnist('data/t10k-images-idx3-ubyte'
4 # , 'data/t10k-labels-idx1-ubyte')

in loadmnist(imagefile, labelfile)
25 for j in range(rows*cols):
26 tmp_pixel = images.read(1) # Just a single byte
---> 27 tmp_pixel = unpack('>B', tmp_pixel)[0]
28 x[i][j] = tmp_pixel
29 tmp_label = labels.read(1)

error: unpack requires a string argument of length 1

I did try to follow along the tutorial.
I guess it has to do with the magic numbers used. 
Did not get much time to debug it though. Just letting you know.

While importing the face_recognition package in jupyter anaconda, I am getting below error.

ModuleNotFoundError Traceback (most recent call last)
in
----> 1 import face_recognition
2
3

ModuleNotFoundError: No module named 'face_recognition'

Hi Michael, I was looking at your sklearn notebooks, but I ran into this:

scikit-learn/scikit-learn#8588

Have you already addressed this somewhere?

Thanks

python3.5/site-packages/pandas_datareader/google/daily.py:40: UnstableAPIWarning:
The Google Finance API has not been stable since late 2017. Requests seem
to fail at random. Failure is especially common when bulk downloading.

Notebook does not work.

help me