#pip install category-encoders

import os
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))

import numpy as np
import math
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score,confusion_matrix
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import classification_report
from tqdm import tqdm_notebook 
import seaborn as sns
import time
from IPython.display import HTML
import warnings
warnings.filterwarnings('ignore')
from sklearn.preprocessing import OneHotEncoder
import torch

import category_encoders as ce

ds = pd.read_csv('/kaggle/input/factors-affecting-campus-placement/Placement_Data_Full_Class.csv')
ds.head(3)