Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 

README.md

Machine Learning Problem Bible (MLPB)

MLPB is meant to become an organized collection of machine learning problems and solutions. In practice, machine learning often goes like this

I have this problem... I need to classify something as A, B or C using a combination of numeric and categorical features. If I could find a similar problem, maybe I could modify the solution to work for my needs.

This is where MLPB steps in. Want to see machine learning problems with sparse data? Got it. Want to compare Scikit-learn’s RandomForestRegressor with R’s randomForest? Got it. Need an example of predicting a ranked target variable? Got it.

How It Works

MLPB contains a directory of Problems. Within each problem is a designated _Data directory and one or more scripts with a solution to the problem. This looks something like

Problems/

  Classify Iris Species/
    _Data/
      iris.csv
      train.csv
      test.csv
    predict_species_xgb.R
    
  Predict NFL Game Winner/
    _Data/
      train.csv
      test.csv
    random_forest_model.py
    random_forest_model.R

Most of these directories should include a README.md file providing details about the problem, data, and solution(s). You can browse all the problems in MLPB's wiki. You can also search for problems with specific tags like [mult-class classification], [sparse-data], [NLP], etc.

Contact

If you'd like to contact me regarding bugs, questions, or general consulting, feel free to drop me a line - bgorman519@gmail.com

Support

Found this free repo helpful? Show your support. Check out GormAnalysis Courses and buy some merch! GormAnalysis Shop

About

Machine Learning Problem Bible | Problem Set Here >>

Topics

Resources

Releases

No releases published

Packages

No packages published
You can’t perform that action at this time.