Mayank Bajaj's Projects
This program is used to find max and min from a dictionary using python language.
This is an end to end regression mini project
In this repository you will find all the basic problems of DSA as well as some advanced that is asked in coding Interviews..Give a star if you find it helpful
Detect your face in any image using openCV with dnn module
how COVID-19 could be detected in chest X-rays of patients. From there, we’ll review our COVID-19 chest X-ray dataset. I’ll then show you how to train a deep learning model using Keras and TensorFlow to predict COVID-19 in our image dataset.
Thr growing e-commerce industry presents us with a large dataset waiting to be scraped and researched upon. In addition to professionally shot high resolution product images, we also have multiple label attributes describing the product which was manually entered while cataloging. To add to this, we also have descriptive text that comments on the product characteristics.
We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:
This tutorials will take you through the basics of the Numpy which will be required for Machine Learning preprocessig.
Welcome to a tutorial series, covering OpenCV, which is an image and video processing library with bindings in C++, C, Python, and Java. OpenCV is used for all sorts of image and video analysis, like facial recognition and detection, license plate reading, photo editing, advanced robotic vision, optical character recognition, and a whole lot more. We will be working through many Python examples here. Getting started with OpenCV's Python bindings is actually much easier than many people make it out to be initially. You will need two main libraries, with an optional third: python-OpenCV, Numpy, and Matplotlib.