renet123

import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt
import seaborn as sns

# Example Monthly Balance Sheet and Income Statement Data
# Replace with your actual data

balance_sheet_data = {

renet123

import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt
import seaborn as sns

# Example Balance Sheet and Income Statement Data
# Replace with your actual data

balance_sheet_data = {

renet123

import pandas as pd
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt
import seaborn as sns

# Load data
# Replace 'your_data.csv' with your actual data file
# Make sure the CSV file is in the same directory as this script