Jatin Sadhwani's repositories
Blog-App-using-JavaScript-and-Firebase
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.
Nodejs-APIs
It contains several APIs to perform different operations like register, login, update password and information, etc
BlogApp-using-Django
This is a BlogApp where user can write post and he can also write, update and delete his own post only.
Flight-Fare-Prediction-using-Machine-Learning
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.
Bilateral-Solutions-Assessment
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.
Mobile-Price-Prediction-using-ML-Algorithm
I have implemented a Mobile Price Prediction using different Machine Learning Algorithms. This project will classify the price range of the mobile price. The price ranges from 0-3. We’ll discuss the price range in the dataset. Now I have trained a mobile price classification using 3 ML algorithms. This model classifies the range of the mobile based on the different parameters like from camera, touch screen, cores, battery, clock speed, internal memory, battery capacity, etc. After training the model using 3 algorithms, I compared all the models using the graph.
Face-Mask-Detection-using-CNN
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 it’ll give a result “Mask” and if the mask is not on your face then it’ll give “No Mask”.
Stock-Price-Prediction-using-ML-algorithm
I have implement a stock price prediction model using a machine learning algorithm. stock price prediction model as the name suggests, It pending the price of the stock based on the different parameters like Open, High, Low, Close, etc. So, I have trained this model using a Multi-Linear Regression model. It’s a simple Linear Regression model and it gave me a 5% RMSE (Root Mean Squared Error).
Water-Quality-Prediction-using-ML-technique
In this post, I have implement a water quality prediction using machine learning techniques. In this technique, our model predicts that the water is safe to drink or not using some parameters like Ph value, conductivity, hardness, etc.
Bangaluru-House-Price-Prediction-in-ML
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.
Different-types-of-cross-validations
Different types of cross validations