課程導論

Python 線性建模入門

Jason Vestuto

Data Scientist

第 1 章導言

章節導覽：

點狀圖：距離對時間，英里對小時

# Range of y data, in miles
y_range = np.max(y) - np.min(y) = 300 - 0 = 300

# Range of x data, in hours
x_range = np.max(x) - np.min(x) = 6 - 0 = 6

# Estimating the speed
mph = y_range / x_range = 300 / 6 = 50

資料與模型圖：距離對時間

# Model as python expression
miles = 50*hours

# Model predicts distance is 300 miles at 6 hours
time = 6
distance = 50 * time = 50 * 6 = 300

def model(time):
    return 50*time

predicted_distance = model(time=10)

距離對時間圖：在兩筆資料點間標示內插點

距離對時間圖：在資料點之外較晚時間標示外插點

Python 線性建模入門