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For questions related to machine learning (ML), which is a set of methods that can automatically detect patterns in data, and then use the uncovered patterns to predict future data, or to perform other kinds of decision making under uncertainty (such as planning how to collect more data). ML is usually divided into supervised, unsupervised and reinforcement learning. Deep learning is a subfield of ML that uses deep artificial neural networks.

2 votes
1 answer
110 views

How should I predict which characters are going to die in a certain movie?

How would one go about predicting which characters (actors) are going to die e.g. in the next Avengers movie? To elaborate a bit, given all leaked scripts (fake or not), interviews of different actor …
jazib jamil's user avatar
1 vote
Accepted

How many trees should be generated in a random forest?

The number of estimators in Random Forest is a hyper-parameter. If you are using SKLearn's Random Classifier you can use one of the following techniques to find a (near) optimal hyperparameter setting …
jazib jamil's user avatar
2 votes

How to analyze data before going for machine learning training?

Though there is no universal method which can be blindly used for all datasets, but here is what i usually do; Fill missing values using interpolation or mean, if missing values are less than 10-15 …
jazib jamil's user avatar