Requirements.txt

# Pandas
import pandas as pd
from path import Path
import time

from config import db_password

# numpy
import numpy as np

# statistics
from statistics import mean

# SQL Alchemy
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func

# SKLearn
from sklearn.preprocessing import StandardScaler, LabelEncoder, OneHotEncoder
from sklearn.model_selection import train_test_split
from sklearn.datasets import make_classification
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import r2_score
from sklearn.linear_model import LinearRegression
from sklearn.ensemble import RandomForestRegressor
from sklearn import datasets, ensemble
from sklearn.inspection import permutation_importance
from sklearn.metrics import mean_squared_error
from sklearn.tree import DecisionTreeRegressor
from sklearn.ensemble import AdaBoostRegressor
from sklearn.datasets import make_regression
from sklearn.neighbors import KNeighborsRegressor
from sklearn.svm import SVR
from sklearn.ensemble import StackingRegressor
from sklearn.linear_model import LassoCV
from sklearn.ensemble import HistGradientBoostingRegressor
from sklearn.linear_model import RidgeCV
from xgboost import XGBRegressor
from sklearn.ensemble import GradientBoostingRegressor
from sklearnex import patch_sklearn

# matplotlib
from matplotlib import pyplot as plt