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Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.

-1 votes

Identifying similar data points

Saurabh without the data this is a little difficult to answer but here goes I would agree to Leevo's thought process here since 30% of your data is folks who have defaulted elsewhere and you want to …
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  • 87
1 vote

Use trained non linear regression model to identify variables that maximize the predicted value

For non linear regression are you using SVM Kernel approach or deep learning? One of the articles I have referred to in the past is this research paper from computational biology where in they have d …
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  • 87
0 votes

How to extract true positives data (complete row with data) after training and testing from ...

If you use label binarization function from scikit learn for encoding the labels before training then it has a built in inverse_transform function Please go through this link /https://scikit-learn.or …
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  • 87
-1 votes

CART algorithm (Classification and regression trees) question

𝛼 is a parameter used for regularization which is controlling the tree from being overfit , an inherent issue with CART algorithms. A negative 𝛼 would lead to a larger tree which may accentuate the …
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0 votes

weather and products sell relationship which one should be the target variable?

Whilst at the outset it might look like a supervised learning problem one should look at the underlying business scenario as well here. Based on my personal experience I feel there could be categories …
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  • 87
1 vote

How to impute Missing values not the usual way?

scikit learn itself has some good ready to use packages for imputation. details here MICE is not available in scikit learn as far as i know. Please check statsmodel for MICE statsmodels.imputation.mic …
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0 votes

How to deal with string labels in multi-class classification with keras?

With the imagegenerator feature in keras we can leverage that directly giving a sample code: datagen = tf.keras.preprocessing.image.ImageDataGenerator( featurewise_center=True, featurewise_std …
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  • 87