There are 3 repositories under spyder-python-ide topic.
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
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 found to detect the virus and its variant have either become : - Ineffective as all tests may not find each of the variants. - Each of them a set a finical restrictions for the technology used. - Each test has its own detection time . Chest X-Ray already exists and overcomes most of the above drawbacks, but still fail to give long term effects or severity. So as a Solution We Aim to develop a model to give large no. of classifications and comparisons of Covid Patients and whether it leads to pneumonia disease , also these models could be trained to classify long term effects after years of infection how things could change w.r.t chest infections, and lead to other chronic disease.
IDE Shortcuts
this is combination of 3 different disease prediction system check readme for details
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
Object Detection with YOLOv3
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.
The newest way to use Python!
this repository is part of multiple disease prediction system repository
Intelli-Helmet is a stress monitoring system using the brain wave data form EEG headset and physiological data (Heart Rate) from wearable device.
Indoor PM2.5 source detection algorithm using unsupervised clustering ML method
Using Python and Tableau, I created a report of borrowers who may have issues paying back the loan to Blue Bank.
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.
It was the machine learning project of Speech Emotion Analyzer to find the emotion by extracting the features of the voices.
This project aimed at studying the relationship between the Spending Score and Age (firstly introduced in my Clustering Project).
This project consist of GUI based upon flight path simulation
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.
A simple GUI-based 2-Player Pong game created using Pygame in Python 3.
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.
Python_Basics
Working_with_data_found_in_the_netCDF_format
Data analysis of wind turbines (student-project)
Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782
Analysis of a car make, companies and description of car dataset to solve data analysis problems
Working_with_data_found_in_the_raster_format
This projects gives school dropout rate according to their various attribute rate like no. of school corresponding to have clean water drinking facility, rate of school teacher facility etc . We had make a webapp using flask for our dropout rate prediction system. Various correlaion technique we have use for the maharashtra school dropout rate dataset with independent column as various major attribute which can be responsible for dropout of student.
This is an implementation of boundary fill algorithm using Python. It can generate any polygon or circle of custom user given specifications and will colour the figure starting from a user provided point with a user defined colour.
In simple, a Loan (borrowing money from a bank) is the sum of money that you borrow from the bank or lending financial institution in order to meet needs. These needs could result from planned or unplanned events, and by borrowing, you incur a debt that you have to pay within the agreed duration on your contract.
CSX 4506 / ITX 4506 Image Processing (Major Elective), Semester 2/2023
MapReduce Program Codes in Python Spyder
This repository contains a Python implementation of the Bisection Method for finding roots of nonlinear equations. The code includes input validation, iteration, and termination based on the desired error or reaching the maximum number of iterations. Results are saved into an Excel file.
This repository contains a Python implementation of the False Position Method, also known as the Regula Falsi Method, for finding roots of nonlinear equations. Additionally, the script compares the performance of the False Position Method with the Bisection Method, saving results in an Excel file (`LAB2.xls`).