Name: Jatin Sadhwani
Type: User
Company: Student
Bio: I am a Computer Engineering student of IET-DAVV, indore.
Ability to transform the mundane into magic and use the right keywords to express the right emotions.
Location: Gwalior <-> Indore
Blog: https://www.datascience2000.in
Jatin Sadhwani's Projects
This is a Desktop application which is created using Python-Tkinter and Mysql database. This application can arrange the files in a separate folder (if different types of file in a folder( exe files , python files , document files , video files etc) then we give path of folder. So application will move all file in a separate folder Ex: Video files in video file folder , Audio files in Audio file folder etc).
In this tutorial, we will implement a Bangalore House Price Prediction model using a Machine Learning algorithm. This model predicts the price of Bangalore's house with the help of a few parameters like availability, size, total square feet, bath, location, etc.
Make Folders named Processing,queue and processed and Write a code that makes a file(txt) every second in the Processing folder, picks up all the files from processing and moves all the files to queue every 5 seconds. It then picks files from the queue folder and updates a column in MySQL/mongoDB table as 0/1 and moves the file to the Processed folder Also, make sure that no files are moved from Processing to queue until the queue folder is empty.
It is a blog app which contains several operations like update, delete, create, etc. and as well as login and signup authentication is also there. It's a single page web application which is developed in html, css, javascript, and firebase.
This is a BlogApp where user can write post and he can also write, update and delete his own post only.
Different types of cross validations
I have implemented a Face Mask Detection using the Convolution Neural Network. This project will detect your face with a mask or without mask. If the mask is on your face then itβll give a result βMaskβ and if the mask is not on your face then itβll give βNo Maskβ.
Introduction In this tutorial, we are going to implement the Flight Fare Prediction. This model predicts the price of the flight based on some parameters like total stops, journey Day, journey month, Air India, Indigo, source, destination, etc. I have trained this model using the random forest regressor and after training, fine-tune the model which is also known as hyper parameter tuning. Then save a model and deploy this Flight Fare Prediction model using the Flask application on the localhost.