semvec/pypi-packages huggingface dataset:
movieverse 0.0.2
A package for movie viewing analysis
Requires Python: >=3.6

# movieverse
A Python Package for movie viewing analysis.

Still under development

Will include

- Basic methods to analyse movie viewing behaviour of individual viewers
  or groups of viewers (a 'movieverse').
- Async clients: An async client for the TMDB API and an async scraper for Letterboxd
- Eventually: A recommender system using the FunkSVD algorithm to make
  personalised movie recommendations based on the data of a given movieverse
NikitaGordia 0.0.1
A small package for all useful ML things
Requires Python: >=3.6

## Kowalsky, analysis!

A simple package for handful ML things and more.

What's inside?

1. ```analysis``` - method for evaluation of specified model with
   given dataframe. With ```export_test_set=False``` it exports
   ready for submission predictions.
   
2. df - working with dataframe:
    * ```corr``` - sort all correlated features.
    * ```handle_outliers``` - fill or drop columns with outliers.
    * ```log_transform``` - transform columns with log function.
    * ```group_by_mean``` - make additional columns with aggregated mean
    * ```group_by_max``` - make additional columns with aggregated max
    * ```group_by_min``` - make additional columns with aggregated min
    * ```scale``` - scale columns with Standard of MinMax scalers
    
3. kaggle:
    * ```submit``` - make submit-file for kaggle based on sample
    
4. metrics:
    *  ```rmse``` - RMSE scorer
    *  ```rmsle``` - RMSLE scorer
    
5. optuna - handful methods for working with optuna:
    * ```optimize``` - optimize model with given dataframe