New York City Taxi Fare Prediction – Analysis and Prediction

Tinkering with multiple machine learning algorithms and methods to predict Google’s New York City Taxi Fare Prediction challenge.

In this article,i will be using different machine learning techniques to predict fare_amount.

you can learn more about this dataset on Kaggle. 😇

Note: RMSE(Sq. root(mean_squared_error)) will be used to measure score for our model(s).

Continue reading “New York City Taxi Fare Prediction – Analysis and Prediction”

Face Feature(s) Detection with OpenCV

import cv2


face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier("haarcascade_eye.xml")
smile_cascade = cv2.CascadeClassifier("haarcascade_smile.xml")


cap = cv2.VideoCapture(0)

while True:
    ret, img = cap.read()
    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    for (x, y, w, h) in faces:
        cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = img[y:y+h, x:x+w]

        smile = smile_cascade.detectMultiScale(
            roi_gray,
            scaleFactor=1.6,
            minNeighbors=35,
            minSize=(25, 25),
            flags=cv2.CASCADE_SCALE_IMAGE
        )

        for (x, y, w, h) in smile:
            print("Smile Detected")
            cv2.rectangle(roi_color, (x, y), (x + w, y + h), (255, 255, 0), 2)

        eyes = eye_cascade.detectMultiScale(roi_gray)
        for (ex, ey, ew, eh) in eyes:
            cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)

    cv2.imshow('img', img)
    k = cv2.waitKey(30) & 0xff
    if k == 27:
        break

cap.release()
cv2.destroyAllWindows()

^ The above script detects facial features such as face,eyes and smile.There are tons of pre-trained haarcascades available for OpenCV that you can use to detect objects such as Moving cars, traffic signs etc.

 

Protect WHOIS for FREE!

Most registrar’s provide WHOIS protection free of cost.if you are one of those unfortunate customers of a registrar which does not provide WHOIS protection/charges for the service – I found a way to hide all of your WHOIS data free of cost!

What is WHOIS?

 

WHOIS (pronounced as the phrase “who is”) is a query and response protocol that is widely used for querying databases that store the registered users or assignees of an Internet resource, such as a domain name, an IP address block or an autonomous system, but is also used for a wider range of other information. The protocol stores and delivers database content in a human-readable format.

Source

 


 

While registering (or) In your control panel(If your registrar allows you to change registration information), just set the country to Vatican city (VA) and city as “