Pinned Repositories
-Machine-Learning-Regression
assignments-data
File System & Data for Assignments
calculator
GUI Calculator
Datacamp-Datascience-
learn numpy and pandas for datascience
Deep-Learning-Face-Recognition
Have you ever wondered how Facebook identifies who's in your photos without you even having to tag anyone? This technology is called face recognition. Modern face recognition algorithms are able to recognize your friend's faces automatically. The best systems are over 98% accurate, which is about as accurate as humans. In this course, we'll use modern deep learning techniques to build a face recognition system. First, we'll walk through each step of the face recognition process. Then we'll build a cutting edge face recognition system that you can reuse in your own projects. Finally, we'll see how face recognition can be applied to a variety of situations and projects. Let's get started.
Face_Detection_Recognition
Real-Time Face Recognition Using Python And OpenCV
Google-India-Challenge-Scholarship-Front-End-Web-Dev
Respository will be updated with the code .Here I'm updating the code of FEND and with given materials i got from the Udacity FrontEND Webdevlopment .
Machine-Learning-Foundations-A-Case-Study-Approach
Machine learing path for learning
Python-OpenCV3
Python OpenCV3
Self-Driving-Car-Udacity
dontless's Repositories
dontless/Machine-Learning-Foundations-A-Case-Study-Approach
Machine learing path for learning
dontless/Face_Detection_Recognition
Real-Time Face Recognition Using Python And OpenCV
dontless/-Machine-Learning-Regression
dontless/assignments-data
File System & Data for Assignments
dontless/calculator
GUI Calculator
dontless/Datacamp-Datascience-
learn numpy and pandas for datascience
dontless/Deep-Learning-Face-Recognition
Have you ever wondered how Facebook identifies who's in your photos without you even having to tag anyone? This technology is called face recognition. Modern face recognition algorithms are able to recognize your friend's faces automatically. The best systems are over 98% accurate, which is about as accurate as humans. In this course, we'll use modern deep learning techniques to build a face recognition system. First, we'll walk through each step of the face recognition process. Then we'll build a cutting edge face recognition system that you can reuse in your own projects. Finally, we'll see how face recognition can be applied to a variety of situations and projects. Let's get started.
dontless/Google-India-Challenge-Scholarship-Front-End-Web-Dev
Respository will be updated with the code .Here I'm updating the code of FEND and with given materials i got from the Udacity FrontEND Webdevlopment .
dontless/Python-OpenCV3
Python OpenCV3
dontless/Self-Driving-Car-Udacity
dontless/Grahlab-Installation-
Steps Required for graphlab Installation
dontless/IOT-based-Emergency-health-care-system
Measuring the heart beat of the humans with the help of the pulse sensor .
dontless/Microsoft-DAT206x-Analyzing-and-Visualizing-Data-with-Excel
visualizing the data by Exel
dontless/python-for-dataScience-
learn python through code
dontless/Python-programming-exercises
100+ Python challenging programming exercises
dontless/web-design-freeCodeCamp-curriculum-
start coding as front end developer