Polina Berenstein polinabee
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| import time | |
| from functools import wraps | |
| def retry_call( | |
| max_retries: int = 5, | |
| backoff_factor: int = 2, | |
| retryable_exceptions: tuple = None | |
| ): | |
| """ |
polinabee
/ hypercube-classification-box.ipynb
Last active
March 3, 2021 21:17
Hypercube binary classification algorithms
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polinabee
/ multi-d-knn.ipynb
Created
February 18, 2021 18:49
Multi-dimensional KNN Classification Exploration
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polinabee
/ mst_clustering.ipynb
Created
December 21, 2020 23:02
MST clustering from a group project assignment
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polinabee
/ api-example.ipynb
Last active
December 18, 2020 14:48
Some simple code to get data from an API, from a class project.
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polinabee
/ length_of_stay.ipynb
Created
December 18, 2020 14:38
Hospital length of stay: data exploration and prediction model
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polinabee
/ kmeans-implementation.ipynb
Last active
December 18, 2020 14:19
K-Means clustering algorithm from scratch
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polinabee
/ xg_booster.py
Created
December 17, 2020 15:11
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| import pandas as pd | |
| import numpy as np | |
| import datetime | |
| from sklearn import preprocessing | |
| import category_encoders as ce | |
| from sklearn.impute import IterativeImputer | |
| from sklearn.linear_model import BayesianRidge | |
polinabee
/ df_to_postgres.py
Last active
March 9, 2021 07:58
Pandas Dataframe to PostgreSQL Quick Conversion
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| import os | |
| import psycopg2 | |
| from psycopg2.extras import execute_batch | |
| import pandas as pd | |
| def get_tuples(d): | |
| datadict = d.to_dict('records') | |
| return [tuple(d.values()) for d in datadict] |
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| <!doctype html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta http-equiv="X-UA-Compatible" content="IE=edge"> | |
| <meta name="viewport" content="initial-scale=1,user-scalable=no,maximum-scale=1,width=device-width"> | |
| <meta name="mobile-web-app-capable" content="yes"> | |
| <meta name="apple-mobile-web-app-capable" content="yes"> | |
| <link rel="stylesheet" href="css/leaflet.css" /> |
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