Check here if latest commit is working :

Testing code

Main

Multi

Preprocessors Check

Looking for contributors

 Maintain and setup roadmap of this excellent Data Science / ML repo.
 Goal is to unified Data Science and Machine Learning :
  REDUCE BOILERPLATE CODE for daily task.

Install

 pip install -r zrequirements.txt

Basic usage

python  titanic_classifier.py  preprocess    --nsample 1000
python  titanic_classifier.py  train         --nsample 2000
python  titanic_classifier.py  predict

How to train a new dataset ?

1) Put your data file   in   data/input/mydata/raw/   
   [link](https://github.com/arita37/dsa2/tree/multi/data/input/mydata)
   

2) Update script        in   data/input/mydata/clean.py
   to load column names, basic profile...

3) Run  python clean.py profile   and check results


4) run  python clean.py train_test
    which generates train and test data in :   
       data/input/mydata/train/features.parquet   target.parquet  (y label)        
       data/input/mydata/test/features.parquet    target.parquet  (y label)                
            

4) Copy Paste titanic_classifier.py  into  mydata_classifier.py

5) Modify the script     mydata_classifier.py
    to match your dataset and the models you want to test.
      
6) Run 
    python  mydata_classifier.py  train
    python  mydata_classifier.py  predict