Amine KABAB kabab

## houses_prices.csv

          
            
            price
            size

            
              0
              980000
              49

            
              1
              980000
              49

            
              3
              1550000
              118

            
              4
              1350000
              86

            
              5
              2400000
              75

            
              6
              980000
              49

            
              7
              1300000
              66

            
              8
              1950000
              122

            
              9
              980000
              49

## LinearRegssion.py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.read_csv('houses_prices.csv')

class LinearRegssion:
    def __init__(self, d, step=0.000005, max_iteration=1000):
        self.theta = np.random.randn(d + 1)
        self.step = step
        self.max_iteration = max_iteration
	price	size
0	980000	49
1	980000	49
3	1550000	118
4	1350000	86
5	2400000	75
6	980000	49
7	1300000	66
8	1950000	122
9	980000	49
	import pandas as pd
	import numpy as np
	import matplotlib.pyplot as plt
	df = pd.read_csv('houses_prices.csv')

	class LinearRegssion:
	def __init__(self, d, step=0.000005, max_iteration=1000):
	self.theta = np.random.randn(d + 1)
	self.step = step
	self.max_iteration = max_iteration