All Questions
40 questions
0
votes
0
answers
32
views
weird plot pattern for mini-batch implementation of a linear regression model
I had to implement gradient descent to learn the B0 and B1 for predicting a linear polynomial equation the program runs as expected but the plot shows that the training error and the testing error of ...
-2
votes
1
answer
80
views
The training error and testing error is very similiar for linear regression model when using gradient descent [closed]
I had to implement gradient descent to learn the B0 and B1 for predicting a linear polynomial equation the program runs as expected but the plot shows that the training error and the testing error of ...
-1
votes
1
answer
147
views
from lab_utils_uni import soup_bowl
Why is the soup_bowl not working like Coursera’s lab in my local Jupyter (1st picture)?
%matplotlib widget is working fine but soup_bowl is not giving the 3d as the 2nd picture.
0
votes
2
answers
94
views
Problems with Python tensorflow
I am a noob in programming who tried to study machine learning. I used tensorflow for Python. Here's the code, written (but not 100% copied) with official tensorflow guide (here's it https://www....
1
vote
1
answer
172
views
Plotting Numpy Nd array (3d to 2d)
I've trained a model and extracted .h5 model architecture, then I used .h5 as prediction of time series datasets. This process was done by converting pandas dataframe to numpy array and adding dummy ...
0
votes
1
answer
145
views
PR-ROC curve with cross validation strange behaviour
Inspired by this ROC curve using cross validation I attempted to create a PR-ROC curve using cross-validation. However, the PR-ROC curve produced seems strange and not what a PR-ROC curve usually ...
-2
votes
1
answer
150
views
Label point on PCA decision surface - SVM
I just created a PCA decision surfare for Support Vector Machine.
I want to see label for each point.
Example: I want to click on a point and read which row is; example 1 point represent Italy, 1 ...
1
vote
1
answer
130
views
How to find the regression line for multiple independent variables?
I'm trying to understand how the Multiple Line Regression works in code for machine learning.
The issue I'm having is that I don't get how to set up my regression line properly or if my coefficients ...
0
votes
0
answers
203
views
Plot normal distribution into a histogram with 1000 samples between 1 to 10 interval
For each of the following distributions, plot its pdf in the given interval and a histogram based on 1000 samples. Use pdf(x, *args)to compute the probability densities for the given array of ...
0
votes
1
answer
93
views
how the left side of the code assign values to counts and bin_edges ?? can anyone please explain this code briefly
I want to know how count and bin_edges values are assigned at a time by the np.histogram.
counts,bin_edges=np.histogram(iris_setosa['sepal_length'],bins=10,density=True)
2
votes
1
answer
571
views
how to calculate the scatter within classes for a 50x20 matrix
I am trying to reduce a largely dimentional matrix to only 2D, i was using an example for 2D arrays,which works, but i would need to do the same for a higher dimentional scatter. I have two classes ...
0
votes
0
answers
102
views
Value Error when trying to visualize an image
I´m trying to visualize some images belonging to different classes. The classes are class0,class1,class2 and they mean X-ray pictures with healthy, covid and pneumonia lungs respectively. As an ...
0
votes
0
answers
89
views
How do I get the image file to be properly labeled when trying to produce topk predictions on an image?
I am trying to produce a graph of the top 5 predictions from a image classifier for any given image. My files are organized as such:
Test/ --> class_name/ --> image_number
for example,
Test/ --> ...
-1
votes
2
answers
75
views
Machine Generation of Art Patterns in Vector Fields
I am trying to rewrite this article:We draw, programming. Machine-generated generation of artistic patterns in vector fields (Russian language) from pseudo-code in Python. I am new to ML, hence the ...
3
votes
1
answer
6k
views
ValueError: x and y must have same first dimension, but have shapes (10, 1) and (90,)
I'm learning ML from Udemy. From one of the lectures of Polynomial Regression, the following code is as follows:
# importing libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot ...