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. Want to see machine learning problems with sparse data? Want to compare Scikit
-learn’s RandomForestRegressor with R’s randomForest? Need an example of predicting a ranked target variable? 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 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? Check out GormAnalysis Courses and buy some merch!
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
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
