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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.

1 vote
2 answers
537 views

Relationship between related continuous and categorical variables

I'm trying to run a regression model for data with 150 features. I'm eliminating redundant features to prevent over-fitting and produce a model that is easier for illustration. There are two features …
cck3's user avatar
  • 143
13 votes
2 answers
41k views

Best practice for encoding datetime in machine learning

I'm working on a Kaggle problem (the problem closed some time ago, but doing it for self-study/practice) where the output is clearly affected by both the year and the month. The original datetime dat …
cck3's user avatar
  • 143
0 votes
1 answer
347 views

Combining information from a categorical variable and a continuous variable

I asked a question regarding relationship between a categorical and a continuous variables yesterday, and I have another question with regards to how to deal with a categorical and a continuous variab …
cck3's user avatar
  • 143