syedtumair Goto Github PK

async-python-http-request

basic loop to asyncronous http request

basicandroidapplicationusaad

Android Application Ustaad with Basic Service

blockstack-lums-project

cv

:page_with_curl: Carolyn Stransky's CV

dash_sample_dashboard

Build a Complex Reporting Dashboard using Dash and Plotly

django-dashboard-black

Django Dashboard - Black Design | AppSeed

drivingstyle-ml-models

Using speed and throttle opening we use ML algorithm to determine set of aggressive and passive drivers.

emperical-analysis-wind-forecasting

With increasing need for renewables energy as the world moves to lower carbon footprint and rapidly evolving smart grid comes a need for developing better energy generation prediction model. As the world moves to renewable sources of energy, introducing them into smart grid , This also raises need to predict their trend, their expected outcome and their consistency as most of renewables are forces of nature which are never constant. Wind is one of the most important source of renewable but it presents challenges. Wind RE is extremely unreliable in terms of consistency and constantly changing. This presents a certain opportunity in terms of prediction as wind also depends on various elements such as temperature , altitude , and location such as closeness to sea. In this paper , we look pervious work done in last decade pertaining to wind prediction for wind based RE and form an empirical analysis based on results obtained , environment factors and contribution , error rate , locality forming as survey of best known implementation of wind prediction and generation system around the globe.

financial-survey-classification-and-prediction

Financial Survey Analysis is related to a study conducted to understand how women and men are comfortable with using technology to make financial transaction. Data collected by people by conducting a survey, which contained xxx questions. Data collected by more than twenty thousand people. Our ultimate goal in this project is to predict the gender based on the data by applying the techniques we learned so far. We’ll be doing the task in following major steps. 1. Data Exploration, Visualization 2. Data Filling 3. Features Engineering 4. Gender Predictor Model 5. Goodness measure and evaluation of predictor

flask-admin-boilerplate

Flask Admin Boilerplate with MongoDB

front-end

Coronavirus COVID19 US Cases Dashboard

mcq-checking-platform

A MVC5 based MCQ checking platform that uses computervision to detect a bubble MCQ sheet. Also has a web application for managing MCQ sheets , marking and a teacher dashboard.

microservices-basics-spring-boot

Basic architecture framework to create complete microservices using Spring boot and Spring cloud

oauth-authorization-server_with_ui

Spring OAuth Server with UI for login, password reset and registration. Connection the a SQL Server backend

oauth-authorization-server_with_ui-master

Basic OAuth service

oh-my-galaxy

Oh my galaxxyyyyyy!

simple-regression-occupany-detection

Simple regression (very basic) that has ANN , Linear Regression and SVR on a data that contains electricity usage by adults and childern in a particular house.

task-sch-java

web-app

Angular 7 + Spring boot microservices + PostgreSQL