Insights into Forest Fires

import jovian

jovian.commit(artifacts=['forest_fires.csv'])

import matplotlib.pyplot as plt
import math
import numpy as np
import pandas as pd
import random

# importing sklearn libraries
from sklearn import neural_network, linear_model, preprocessing, svm, tree
from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier
from sklearn.metrics import accuracy_score, mean_squared_error, r2_score
from sklearn.model_selection import train_test_split
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import KFold
from sklearn.naive_bayes import GaussianNB

# importing keras libraries
from keras.models import Sequential
from keras.layers import Dense
from keras.wrappers.scikit_learn import KerasRegressor

import warnings

# supressing the warning on the usage of Linear Regression model
warnings.filterwarnings(action="ignore", module="scipy", message="^internal gelsd")