ashishkumar30/UpGrad-Machine-Learning-assignments-2018

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ashishkumar30/UpGrad-Machine-Learning-assignments-2018

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UpGrad - Daily Machine Learning assignments submited to github (2018)

Stock_Market_Live_Trading_using_AI

The apex of my CSE tenure at UIET Kurukshetra University in 2018, This project focuses on Zerodha, involving live online trading in the NSE-BSE with real money, utilizing Artificial Intelligence techniques. The project employs Python programming, incorporating live trading bots, indicator screeners, and back testers through REST API and websockets.

Jupyter Notebook

ML-AI-Python-Codes

Python various Important codes, Machine learning, NLP using Spacy and NLTK with Neural Network in ML

Jupyter Notebook

UpGrad-Python-assignments-2018

UpGrad - Daily Python assignments submited to github (2018)

Jupyter Notebook

Microservices

It is a modern open source high performance Remote Procedure Call framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking and authentication. It is also applicable in last mile of distributed computing to connect devices, mobile applications and browsers to backend services.

UpGrad-GUI-Project-2018

UpGrad -Assignment Desktop application using python-tkinter (managment system & game) .Python with tkinter outputs the fastest and easiest way to create the GUI applications

Django-Projects

Web Applications on Django, creating REST API's with Django a Framewrk of python using html css bootstrap etc. integrated with Machine Learning , Natural language Processing in backend.

classifiers-dash

Dash web app for binary classification model selection