Kaushal Pandey's Projects
Add item on cart using getx (obx, GetBuilder,Getx)
home price prediction using linear regression and using flask server
This is machine learning web app that use to predict Boston house price according to given Parameters in data set.
CURD Operation
Crucial technologies machine test
Created simple flask with application then containers application in Docker container image and create a docker repository.
Created simple flask web application with redias Integration in docker container and push container docker hub
Simple Django Rest Framework (DRF) With Django Unit Testing Performs.
This is a Machine Learning Project used to classify Spam Mails and Sms from any given Mails and Sms. Here, I have used Machine learning Algorithm model to classify whether a mail is spam or not. This project is completely done in Python.
Fin Infocom Flutter Task for Native Android / IOS
Create , fatch , edit and delete data using firebase realtime database and firestore
An example of Validating Forms and User Inputs in Flutter
Flutter demo project with Splash Screen and web-view
This is machine learning web app that use to predict gemstone price according to given Parmenter in data set.
This is machine learning web app that used for estimating the health disease like Diabetes, Heart, Kidney, Liver, Breast cancer, Stroke.
create a simple python hello world program and add jenkins CI pipeline with github webhook
This model contains information about cricket matches including city, date, season, match number, participating teams, venue, toss details, match outcome, winning team, margin, method, player of the match, and umpire details. and predict Result according to provided details.
Get Data From Server , Post data , Update And Delete
create a simple JWT (JSON Web Token) authentication backend for the Django REST Framework. User can login Signup and reset the password and verify the email address.
Created a machine learning model that estimates salary and loan according to data set parameters. and build client facing API using Flask. also Optimized Linear, Lasso, and Random Forest Regressors using GridsearchCV to reach the best model.
Using laravel framework create login and sign-up restful api
Login and Registration using basefragment , MVVM Pattern And save token using DataStore
Login SignUp Using restfull Api and use SharedPreference
machine learning basic algorithms
matplot-lib graphical representation using jupyter notebook, anaconda tool
Use Mvvm Pattern(view Model pattern) and get data from server using Retrofit
basic programs of python using numpy
Use csv and xlsx file (concat dataframe ,stack , melt , grouping , merge , hendle missing value etc)
Design Responsive Single page web application with Bootstrap and CSS and deploy in Firebase