This model i created in google colab. Relavant libraries include:
How to Use
This runs in google colab.
Import as per below:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import random
from sklearn.model_selection import GridSearchCV
from sklearn.preprocessing import StandardScaler, LabelEncoder
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score, classification_report, confusion_matrix
from sklearn.preprocessing import MinMaxScaler
For kaggle
import os
import zipfile
For Hugging face
from sklearn.externals import joblib # to save the model
from huggingface_hub import notebook_login
from huggingface_hub import Repository
Download the model and load it using `joblib
Replace input_data with your data, e.g. [[45, 1, 170, 26]] # Age, Hypertension, Avg_glucose_level, BMI
