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1vote
0answers
57views

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 ...
Manas Garg's user avatar
2votes
1answer
220views

Generating a matrix with each row having normalized weights

I just asked this question over Stack Over Flow on how to improve my code and reposting it here as someone on Stack Overflow recommended this platform. I have written two python functions and they are ...
AulwTheo's user avatar
2votes
0answers
56views

Optimize binary classification model

I've created binary classification model from scratch, just to understand intuition behind that. However when I compare my implementation to model from tensorflow/pytorch with the same parameters and ...
mikolaj semeniuk's user avatar
1vote
1answer
281views

Smart Tic Tac Toe, a reinforcement learning approach

I'm currently familiarizing myself with reinforcement learning (RL). For convenience, instead of manually entering coordinates in the terminal, I created a very simple UI for testing trained agents ...
watch-this's user avatar
2votes
1answer
91views

Forecasting stock market data using Support Vector Regression

I coded this Support Vector Regression (SVR) myself following some equations in a journal (see here, or here (not in English)). The loss function used by the journal and the code below is mean ...
Ihsanul's user avatar
6votes
1answer
189views

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 ...
watch-this's user avatar
2votes
1answer
120views

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, ...
Keagan McNew's user avatar
1vote
0answers
206views

condensed nearest centroid classifier in numpy

This is my attempt to write a numpy-optimized version of a nearest centroid classifier to classify some images from the MNIST data set of handwritten digits. I am ...
Grayscale's user avatar
2votes
1answer
2kviews

Simple Genetic Algorithm in Python

For past few months I was trying to understand genetic algorithms (GA) and most of the materials availble in the web was not always easy for me. Then I came across this article written by Ahmed Gad ...
Eka's user avatar
  • 349
4votes
1answer
119views

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 ...
Felix's user avatar
5votes
1answer
6kviews

k-means using numpy

This is k-means implementation using Python (numpy). I believe there is room for improvement when it comes to computing distances (given I'm using a list comprehension, maybe I could also pack it in a ...
Adel Redjimi's user avatar
8votes
2answers
501views

Univariate linear regression from scratch in Python

I am relatively new to machine learning and I believe one of the best ways for me to get the intuition behind most algorithms is to write them from scratch before using tons of external libraries. ...
maufcost's user avatar
4votes
1answer
300views

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 ...
Vivek Jha's user avatar
3votes
2answers
121views

Inefficient Regularized Logistic Regression with Numpy

I am a machine learning noob attempting to implement regularized logistic regression via Newton's method. The example data have two features which are to be expanded to 28 through finding all ...
user avatar
6votes
3answers
10kviews

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 ...
Hericks's user avatar

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