Machine Learning Tutorial Python | Machine Learning For Beginners - Data Science & Machine Learning Project - Part 3 Data Cleaning | Image Classification

In this video, we are going to clean images that we downloaded from google in a way that it is suitable to train our classifier. We mostly identify a person in a photo with a face. Hence we will use opencv and a technique called haar cascades to detect if a face and two eyes are clearly visible or not. If they are than we keep the image otherwise we discard the image. Majority of the data cleaning work will be done using python code but there will be some cleaning work that we will have to do manually. Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses. Code: https://github.com/codebasics/py/blob/master/DataScience/CelebrityFaceRecognition/model/data_cleaning.ipynb Code folder: https://github.com/codebasics/py/blob/master/DataScience/CelebrityFaceRecognition/model/ Special thanks to, Debjyoti Paul (Amazon Data Scientist): For help with entire project Website: https://codebasics.io/ Facebook: https://www.facebook.com/codebasicshub Twitter: https://twitter.com/codebasicshub