ShivankYadav/Workout.ai

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5
Rank 2,861,937 (Top 57 %)
Language
Python
License
Other
Created about 5 years ago
Updated about 2 years ago

ShivankYadav/Workout.ai

ShivankYadav

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LunarLander-using-DQN

We apply DQN algorithm to make and artificial agent learn how to land space-craft on moon.

Jupyter Notebook

MultipleFaceRecognition-AttendanceSystem

A wide angle CCTV placed above the blackboard of the class detects the faces of all the children, recognizes them and marks their attendance.

Q-Learning-on-Blackjack

Teaching an Agent to play Blackjack using Q-Learning

Jupyter Notebook

PneumoniaDetectionOnChestXray

Exploratory Data Analysis + DICOM DataHandling and Image Preprocessing + Tensorflow/KerasCNN for classification of Pneumonia on chest-XRAY + FDAValidationPlan.

Jupyter Notebook

No-show

This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment.

Jupyter Notebook

BananaPicker-Navigation

We train an agent to manuver in a 3-D environment avoiding blue bananas and picking yellow ones as fast as possible.

Jupyter Notebook

boston_housing

In this project, you will evaluate the performance and predictive power of a model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts. A model trained on this data that is seen as a good fit could then be used to make certain predictions about a home — in particular, its monetary value. This model would prove to be invaluable for someone like a real estate agent who could make use of such information on a daily basis.

DoneWithIt

Done With Is is a full stack iOS/android application for selling things in your home that you are done with. The description of the project can be viewed here. I am following the full 20 hr+ course that will help me learn all the necessary skills to get this app production ready.

ReadingListReact

This is a reading list react app. Showcases context passing within component tree using react Context API for Class components as well as using react hooks for stateless functional componets. Using Reducer concept to encapsulate the state modifying functionalities and finally storing state in localStorage to save the booklist.