aagarwal937

Complete-Python-3-Bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

COVID-2019-Prediction-Model

The 2019–20 coronavirus pandemic is an ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2). The outbreak was identified in Wuhan, China, in December 2019.Among the standard models for COVID-19 global pandemic predictionBased on the results reported here, and due to the highly complex nature of the COVID-19 outbreak and variation in its behavior from nation-to-nation, this study suggests machine learning as an effective tool to model the outbreak

Face-recog

In order to build our OpenCV face recognition pipeline, we'll be applying deep learning in two key steps. >> To apply face detection, which detects the presence and location of a face in an image, but does not identify it. >> To extract the 128-d feature vectors (called “embeddings”) that quantify each face in an image.

Heart-Disease-Symtoms

Heart disease is one of the biggest causes of morbidity and mortality among the population of the world. Prediction of cardiovascular disease is regarded as one of the most important subjects in the section of clinical data analysis. The amount of data in the healthcare industry is huge. Data mining turns the large collection of raw healthcare data into information that can help to make informed decisions and predictions.

Kivy-GUI-Example

An example GUI created in python using the module kivy. This is a very basic login system where you can create accounts and login.

Machine-Learning-Algo-s-both-in-R-and-Python

ml-app-using-streamlit-random-forest

NER-app-using-Spacy

Python-and-OOP

steamlit-ml-automated-algorithms

aagarwal937/Kivy-GUI-Example

An example GUI created in python using the module kivy. This is a very basic login system where you can create accounts and login.

aagarwal937/NER-app-using-Spacy

aagarwal937/torch_serve_deployment

aagarwal937/Assignment-for-DS-Candidates

aagarwal937/Credit-Card-Fraud-Detection-using-Autoencoders

aagarwal937/Data-Science-Cheatsheet

A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.

aagarwal937/eda-app-using-streamlit

aagarwal937/eve-bot

EVE bot, a customer service chatbot to enhance virtual engagement for Twitter Apple Support

aagarwal937/exploring--deadlines-of-terrorist-attack

aagarwal937/fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

aagarwal937/gaze-detection

👀 Use machine learning in JavaScript to detect eye movements and build gaze-controlled experiences.

aagarwal937/GRAPHIC-RESUME-BLACK

aagarwal937/InteractiveBrokersPythonBot

aagarwal937/linkedin-skill-assessments-quizzes

Full reference of linkedin answers for skill assessments, linkedin test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-poin, excel ...) ответы на квиз, LinkedIn quiz lösungen, linkedin quiz las respuestas

aagarwal937/MachineHack

aagarwal937/Pneumonia_Detection_Using-_Transfer_Learning

aagarwal937/python-projects

aagarwal937/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

aagarwal937/shapash

Shapash makes Machine Learning models transparent and understandable by everyone

aagarwal937/shapash-car-price-prediction-model

aagarwal937/statistics-for-datascience

aagarwal937/stock-price-prediction-using-LSTM

aagarwal937/Tensor-Flow

aagarwal937/TensorDash

TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training is completed or crashed.

aagarwal937/tensorflow

An Open Source Machine Learning Framework for Everyone

aagarwal937/Testing-Libraries

aagarwal937/tez

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

aagarwal937/to-dolist

aagarwal937/transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

aagarwal937/tresting-frontend-code