All Questions
6 questions
1
vote
0
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57
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Recurrent Neural Network loss is NAN
I am training a neural network to use approximately 600 features (4103rd to last column of a df) to predict approximately 4000 values (7th to 4102nd column of the same df). I have standardized the ...
- 11
6
votes
1
answer
189
views
Multithreaded HD Image Processing + Logistic reg. Classifier + Visualization
[I'm awaiting suggestions for improvement/optimization/more speed/general feedback ...]
This code takes a label and a folder path of subfolders as input that have certain labels ex: trees, cats with ...
2
votes
1
answer
120
views
K_nearest_neighbors from scratch [closed]
I wanted to create a script that will perform the k_nearest_neighbors algorithm on the well-known iris dataset. This was mainly for me to better understand the algorithm and process. I think it works, ...
- 61
4
votes
1
answer
119
views
Set of one-hot encoders in Python
In the absence of feature-complete and easy-to-use one-hot encoders in the Python ecosystem I've made a set of my own. This is intended to be a small library, so I want to make sure it's as clear and ...
- 293
4
votes
1
answer
300
views
Linear Regression on random data
Wrote a simple script to implement Linear regression and practice numpy/pandas. Uses random data, so obviously weights (thetas) have no significant meaning. Looking for feedback on
Performance
Python ...
- 297
6
votes
3
answers
10k
views
Gradient descent for linear regression using numpy/pandas
I currently follow along Andrew Ng's Machine Learning Course on Coursera and wanted to implement the gradient descent algorithm in python3 using ...
- 351