Spyder IDE client for TabNine.
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Updated
Oct 12, 2020
Spyder IDE client for TabNine.
Heart Disease Prediction using machine and deep learning techniques works on heart dataset
This a multiple disease prediction based on user input which can predict upto 40 disease and trained on 131 parameters
this is combination of 3 different disease prediction system check readme for details
In this Project we aim to dive into a Present Societal Pandemic issue which we are facing around us past 2 years due to outbreak of Novel Corona Virus. Getting tested for covid-19 virus is not an easy deal with costly RT-PCR test, and delayed results, and with its no. of variants with different mutations emerging everyday all the new methods f…
This one is advance version of the earlier one i.e Multiple disease prediction as we can run it just by cloning vs GitHub desktop and run it in vscode
IDE Shortcuts
The newest way to use Python!
Object Detection with YOLOv3
this repository is part of multiple disease prediction system repository
Developed a constraint satisfaction problem model for deciding what projects can be taken on and what companies need to be contracted to deliver on these projects.
Value Inc is a retail store that sells household items all over the world by bulk. The Sales Manager has no sales reporting but he has a brief idea of current sales. He also has no idea of the monthly cost, profit and top selling products. He wants a dashboard on this and says the data is currently stored in an excel sheet.
Python_Basics
Pychram was used to create the AI voice assistant Mike. It is able to carry out fundamental client-designed tasks and comprehend human speech. The Mike is activated and starts carrying out user orders when the user specifies the right trigger words.
Using Python and Tableau, I created a report of borrowers who may have issues paying back the loan to Blue Bank.
A simple GUI-based 2-Player Pong game created using Pygame in Python 3.
Indoor PM2.5 source detection algorithm using unsupervised clustering ML method (k-means clustering)
This GitHub repository contains an example demonstrating the application of fundamental image processing filters (Mean, Median, Gaussian) using Python and OpenCV, along with the addition of Salt and Pepper Noise.
Working_with_data_found_in_the_netCDF_format
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