devtown-india Goto Github PK

devtown_book_record_management

Book record management for book stores and libraries

devtown_tasky_app

It is a task management application.

ecommerce-backend

ecommerce-frontend

facial_expression_day_3

Hands on Project

first-react-app-devtown-10567

fswd-10322

fswd-10323

Full stack 10323 course repository

fswd-10423-20423

fswd-10921

fswd-11221

fswd10522

fswdt-10423-20423

gans-on-fashion-mnist-dataset-review-

github_collab

groupnotifyv2

hacktoberfest2022-for-everyone

This repository is for everyone who wants to participate in Hacktoberfest 2022. Anyone can contribute/add quality code or projects for your Swags (T- Shirt), must be relevant that can add some value to this repository.

handson-data-analysis-and-ml

Over the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles on a very short-term basis for a price. This allows people to borrow a bike from point A and return it at point B, though they can also return it to the same location if they'd like to just go for a ride. Regardless, each bike can serve several users per day. Thanks to the rise in information technologies, it is easy for a user of the system to access a dock within the system to unlock or return bicycles. These technologies also provide a wealth of data that can be used to explore how these bike-sharing systems are used. In this project, you will use data provided by Motivate, a bike share system provider for many major cities in the United States, to uncover bike share usage patterns. You will compare the system usage between three large cities: Chicago, New York City, and Washington, DC. Day:1 In this project, Students will make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. You will write code to import the data and answer interesting questions about it by computing descriptive statistics. They will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics. Technologies that will be covered are Numpy, Pandas, Matplotlib, Seaborn, Jupyter notebook. We will be giving the students a deep dive into the Data Analytical process Day:2 We will be giving the students an insight into one of the major fields of Machine Learning ie. Time Series forcasting we will be taking them through the relevant theory and make them understand of the importance and different techniques that are available to deal with it. After that we will be working hands on the bike share data set implementing different algorithms and understanding them to the core We aim to provide students an insight into what exactly is the job of a data analyst and get them familiarise to how does the entire data analysis process work. The session will be hosted by Shaurya Sinha a data analyst at Jio and Parag Mittal Software engineer at Microsoft.

image-segementation

Image Segementation will be used to locate the objects and boundaries using neural networks such as U-Net,FCN and other models using keras framework

kartik_fswd

learn_git

linkedin-automation

musicgeneration

Generating music using various types of model

notes-app-client

notes-app-server

oneshotlearning-with-siamese-character_classification

i have build an app on flask & its working on localhost or laptop only. its not possible to open camera on client side with (OpenCV, Face Recognition using Flask) . So im looking for code( javascript.) which capture faces from server side.

pinterest_client

pinterest_like

pinterestlike-server

projects-data-scientist-training