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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 | |
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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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