Summary i tried to use OLS() by importing "statesmodels.api" but it didn’t work with me Press this link to see my error at the left part there are my code , and the right one is the error Source: Python..

#### Category : machine-learning

I am trying to implement from scratch the multiclass logistic regression but my implementation returns bad results. I believe the definition of the gradient function and the cost function is fine. Maybe there is a problem with how these functions are interacting with the minimize function. I have tried it but I could not find ..

I am trying to code a python program that computes auc_score using numpy.trapz() function in google colab, but I am getting lot of errors ( frankly I am not getting the accurate result) and a small change in code results in numpy,logical errors. I am not sure where I am missing the logic in my ..

I am trying to implement a very basic recurrent neural network into my linear regression analysis project in Tensorflow that takes two inputs passed to it and then a third value of what it previously calculated. So, my project is trying to calculate something across the next x number of years, and after the first ..

In a CSV sheet I have different types of data like ranges(watchtime 2-4 hours), Person name(String), Person Likes(Action, Thriller). On the basis of all this information I want to train and then ask a few inputs like watchtime, Likes and the program will find the best match or best person who resembles that input. Source: ..

I am trying to implement a very basic recursive neural network into my linear regression analysis project in Tensorflow that takes two inputs passed to it and then a third value of what it previously calculated. So, my project is trying to calculate something across the next x number of years, and after the first ..

I would like to ask about any Implementation or library of MLP-ANNs that helps to control the summation of weights before introducing them into a neural network layer. my goal is to make the last hidden layer connected with the output layer in a way that I can form an equation that multiplies its input ..

I was building a machine learning model from the squad dataset using bert where if the user uploads a document, the model will extract all the content and generate necessary questions and answers from it. Something, like "automatic FAQ page generation" from txt, pdf, etc. But the issue which I am facing is if the ..

I am stuck in an issue with the query below which is supposed to plot best parameter for KNN and different types of SVMs: Linear, Rbf, Poly. So far I wrote the query below: import numpy as np import matplotlib.pyplot as plt from sklearn.model_selection import train_test_split from sklearn.neighbors import KNeighborsClassifier from sklearn.svm import SVC from ..

I am playing with the IMDB dataset from Keras. The code is below. It works fine, but I would have one question – how to now test a random review with the model I’ve trained? E.g. "I liked how the film depicted New York, but I did not like the film at all". Could you ..

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