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Questions - linear-regression

how to calculate error part in of fitted line of polyfit to data?

I am confused about the error part of polyfit. I have the following code: def polyfit(df,columns, degree): coef=[] error=[] x = np.array(list(range(0,df.shape[0]))) for skill in column...
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user15649753

pandas

numpy

loops

linear-regression

data-fitting

Votes: 0

Answers: 1

Latest Answer

Your variable sstot is a scalar and will be reset for each iteration of your loop. This means that when you run the following line: results = pd.DataFrame({'skills':columns, 'coef': coef, 'error':erro...
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Derek O

Linear Regression Stochastic Gradient Descent

I am trying to fit a sinusoidal wave (sin(2 pi x)) with some gaussian noise added to it. I am using the stochastic gradient descent algorithm, and the model I am trying to fit is linear in the paramet...
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Karthik Prakash

python

numpy

machine-learning

linear-regression

gradient-descent

Votes: 0

Answers: 1

Latest Answer

This can be an issue of a too large step size/learning rate a. The gradient you are computing is just a noisy version of the true gradient. If your step size is too large, your just jumping around alm...
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Simon Hawe

Create linear predictions with Stata

I want to run a regression of profits against time and see whether there is a change in the last 6 months. To do so, I want to have the regression before July and then get estimates for the whole year...
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Data_Science_110

regression

linear-regression

stata

predict

Votes: 0

Answers: 0

Visualize linear Regression in Plotly

I'm trying to create an interactive plot for my linear regression analysis, as it can be seen on: https://plotly.com/r/ml-regression/#linear-regression-with-r Below my model, I hope this is the correc...
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Tamara Traub

r

plotly

linear-regression

visualization

r-plotly

Votes: 0

Answers: 1

Latest Answer

For OLIFE_IntAn_Short only: library(plotly) library(tidymodels) y = NumericDatawoOutliers$mFRONTAL x = NumericDatawoOutliers$OLIFE_IntAn_Short lm_model = linear_reg() %>% set_engine('lm') %>...
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ismirsehregal

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