موضوع‌ها
۰
فورک‌ها
۰
ستاره‌ها
۱۱
تاریخ ایجاد
۳۰ مرداد ۱۴۰۰
آخرین بروزرسانی
۴ ماه قبل

Assignment36

  • Linear Regression on random data

    I've generated some random data and want to fit a line on it.
    First generated some random line ,then calculate the correct slope to fit the line on it ,
    and after that I use the linregress method from scipy library to fit the generated line on the data

As it's shown below there's a bit different between the line calculated its slope and
the line fitted calculated by the linregress method

  • Linear regression on Boston Housing dataset

    To predict the price of Boston houses ,I selected two features,
    Age and the number of rooms ,then plot them with the price predicted on a 3D surface
    The cost function used here is Linear Least Square (LLS)

Assignment37

  • Digikala:Data Analysis

    Working on digikala dataset to get some Information

    • Monthly Order Amount

    • Customer Per City

  • Webcam QRcode scanner

    This is a program to scan the Qrcode readen from webcam
    First install pyzbar( pip install pyzbar ) , then run the code

  • Linear Least Sqaure on Abalone dataset

    Fit a line on two linear correlated features (Length and Height)

    MAE loss0.039
    MSE loss0.002
    Huber loss 0.0012
    Hinge loss0.97

Assignment38

  • Regression on Boston dataset using Perceptron algorithm

    To predict the price of Boston houses , I used perceptron algorithm as a regressor
    Two most correlated features with price,ZN and RM are selected

    • Feature correlation with price

    • Error Training Curve

    • Fitted plane on test data