questions/machine-learning
The loss for a batch is defined ...READ MORE
The constant part of your equation isn't ...READ MORE
The coefficients can be obtained using the ...READ MORE
After you've separated your table, use tbl ...READ MORE
In sklearn, there is no R type ...READ MORE
They both signify the same thing; the ...READ MORE
If the problem persists, try using a ...READ MORE
captiongenerator.py is a Python script that generates ...READ MORE
You're more likely to overfit the results ...READ MORE
b1 + b2 = 1 Let us fit ...READ MORE
It is feasible to evaluate these things ...READ MORE
What did the intercept teach you? It's ...READ MORE
Examine the sample function. set.seed(1) sample(c(0,1), size=12, replace=TRUE, prob=c(0.2,0.8)) 1 ...READ MORE
It's easy to duplicate random draws with ...READ MORE
First, you'll need a linear model with ...READ MORE
A statistical classification method that fits data ...READ MORE
The next move's probability vector (called the ...READ MORE
You are correct: categorization applies a label ...READ MORE
Regression testing is used to ensure that ...READ MORE
Weka is a classification algorithm. This is ...READ MORE
Your data is transformed into a range ...READ MORE
You could try something like this. my_nn = ...READ MORE
Regression testing is a test suite that ...READ MORE
The issue is because you're using a ...READ MORE
Unit test: Specify and test one point ...READ MORE
A Few Constraints This is an example of ...READ MORE
There isn't a parameter for DataFrame.plot(). Seaborn, ...READ MORE
Not exactly. If your sigmoid output was ...READ MORE
Try to use a different form of ...READ MORE
You can use any distance function with ...READ MORE
The goal of regression is to forecast ...READ MORE
In classification tasks, the user tries to ...READ MORE
Mostly by trial and error. When you ...READ MORE
Batch normalization is a technique that is ...READ MORE
Dimensionality reduction is used in Machine Learning ...READ MORE
There are various feature selection processes used ...READ MORE
Evaluation of Variance: variance = np.var(prediction) # Where ...READ MORE
This is because the regression coefficients of ...READ MORE
‘L2 regularization‘ or Ridge Regularization adds penalty ...READ MORE
L2 Regularization is known as Ridge Regression. ...READ MORE
Entropy is uncertainty/ randomness in the data, ...READ MORE
Unsupervised learning is used with the K-means ...READ MORE
Confusion Matrix is a classification matrix used ...READ MORE
Information gain works on the concept of ...READ MORE
the k-Nearest Neighbors is mentioned as one ...READ MORE
In which cases is it better to ...READ MORE
what happens when you want to do ...READ MORE
What is the exact difference between a ...READ MORE
Under caption_generator.py change the following line as follow ...READ MORE
The above situation is the case where ...READ MORE
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