questions/machine-learning
The depth of a Deep Neural Network ...READ MORE
Control variables, as you may know, are ...READ MORE
Hi@akhtar, You can find lots of resources available ...READ MORE
Have a look at this one: from sklearn.datasets ...READ MORE
In response to your question regarding reusing ...READ MORE
You could try something like this: nn = ...READ MORE
Random Forests, as others have mentioned, have ...READ MORE
I am creating a dummy data set ...READ MORE
Apart from instructional purposes, I'm not sure ...READ MORE
Create pandas.DataFrame , you can use seaborn.jointplot ...READ MORE
An example you gave is one-dimensional, which ...READ MORE
Discussing this on a high level, these ...READ MORE
You can use the rejection sampling approach ...READ MORE
There is no definitive solution to this ...READ MORE
You have made train_pred as python list. ...READ MORE
Hi, As you can see that you have ...READ MORE
Hi@Ogun, The Numpy module doesn't have a predict attribute. ...READ MORE
This should be self-evident. You can do it ...READ MORE
Obviously, semi-supervised learning makes use of some ...READ MORE
Weka is a classification algorithm. This is ...READ MORE
A statistical classification method that fits data ...READ MORE
In the language of neural networks, this ...READ MORE
In Machine Learning we often divide the dataset ...READ MORE
The problem was solved after I improved ...READ MORE
The main distinction is that two-stage Faster ...READ MORE
RF divides your information into square boxes. ...READ MORE
Hi@akhtar, There are lots of examples of Machine ...READ MORE
Sanity testing entails ensuring that the application's ...READ MORE
Unsupervised Learning is the training of machine ...READ MORE
Alright, let me not get into the ...READ MORE
def dense_layers(sizes): return tfk.Sequential([tfkl.Dense(size, ...READ MORE
I would like to pick a number ...READ MORE
The output will be discrete but the ...READ MORE
Different clustering methods include: 1. Density-Based Methods: These methods ...READ MORE
To calculate 10k rows, and also to speed ...READ MORE
You can choose from the following options: Powers ...READ MORE
Classification is about classifying categorical variables in ...READ MORE
Cost function is a way to evaluate ...READ MORE
A pure Genetic Algorithm solution does not ...READ MORE
There are two main techniques used in ...READ MORE
‘L2 regularization‘ or Ridge Regularization adds penalty ...READ MORE
Hey @Vivek, Try something like this: >>> from ...READ MORE
To find the intersecting point use the ...READ MORE
Hi Dev, to answer your question Linear Regression ...READ MORE
Hey @Ruth, you can use this model ...READ MORE
If x is a vector of individual ...READ MORE
Hello, I had followed one of the ...READ MORE
You can use any distance function with ...READ MORE
This is because the regression coefficients of ...READ MORE
Clustering is a type of unsupervised learning ...READ MORE
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