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androidquiz

This app contains a set of 10 questions based on Android and is created as a part of Udacity Android Basics Nanodegree.

boston_housing_udacity

This project predicts the prices of houses in Boston based on the dataset collected in 1978. The main objective is to get acquainted with the many techniques for training, testing, evaluating, and optimizing models, available in sklearn. It is created as a part Udacity ML Nanodegree.

businesscard

It is a business card, created as a part of Udacity Android Basics Nanodegree.

courtcounter

Android Basics : Lesson 9 Making App Interactive by Google and Udacity

customer_segments

This project is designed to give you a hands-on experience with unsupervised learning and work towards developing conclusions for a potential client on a real-world dataset. Many companies today collect vast amounts of data on customers and clientele, and have a strong desire to understand the meaningful relationships hidden in their customer base. Being equipped with this information can assist a company engineer future products and services that best satisfy the demands or needs of their customers.

dog-breed-classifier

This project showcases the use of CNN and transfer learning for Image Classification. It demonstrates how to build a pipeline that can be used within a web or mobile app to process real-world, user-supplied images. Given an image of a dog, your algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.

finding_donors_udacity

This project will evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield while also reducing the total number of letters being sent. It is created as a part Udacity ML Nanodegree.

finding_lanes

machine-learning

Content for Udacity's Machine Learning curriculum

newsguardian

This News app with show the current headlines from The Guardian News. It is made as part of Udacity Android Basics Nanodegree program.

quadcopter-training-takeoff-

This project focuses on building an AI model which makes a quadcopter take off and land automatically without any human intervention. The other movements and actions are still under development and will be a part of its future version. Able to get an accuracy around 75%.

stationaryinventory

This is an inventory app which keeps track of all stationary items of a shops, their prices and quantities. Created as part of Udacity Android Basics Nanodegree.

teach-a-quadcopter-how-to-fly

Udacity MLND project for re-inforcement learnnig

teachquadcoptertofly

Udacity DLND final project

traffic-sign-recognition

The problem that this project is focusing on is one of the key tasks in autonomous vehicles areas -- Traffic Sign Recognition. Traffic-sign recognition (TSR) is a technology by which a vehicle is able to recognize the traffic signs put on the road, such as "speed limit" or "turn ahead".

travelbuddykolkata

This app is a guide to Kolkata and holds the list and locations of the most popular visiting sites and hotels. Created as a part of Android Basics Nanodegree.

yolov3-googlecolab

A walk through the code behind setting up YOLOv3 with darknet and training it and processing video on Google Colaboratory