

# install and import necessary libraries 
import numpy as np 
import pandas as pd 

# download and load the dataset 
data_path = "data_file.csv" # modify the path to the dataset 
try: 
    dataset = pd.read_csv(data_path) 
except FileNotFoundError: 
        print("FileNotFoundError: [Errno 2] No such file or directory: 'data_file.csv'") 
        print("Check if the file is located in the correct path and try again!")

# data cleaning and pre-processing 
dataset.dropna(inplace=True) 
dataset.drop_duplicates(inplace=True) 

# exploratory data analysis 
import matplotlib.pyplot as plt 
import seaborn as sns 
# plotting distribution, correlation graphs etc.

# apply data mining techniques
# e.g. clustering, classification 

# build machine learning models 
# e.g. regression, decision trees, random forests, neural networks

# evaluate the models 
# e.g. precision, recall, accuracy etc.
