Aniket Mukherjee's repositories
Housing-Dataset-Model
This is a dataset model on Canada Housing Dataset estimating the best price in a particular location.
ImageClassification
Deep Learning has emerged as a new area in machine learning and is applied to a number of signal and image applications.The main purpose of the work presented in this paper, is to apply the concept of a Deep Learning algorithm namely, Convolutional neural networks (CNN) in image classification. The algorithm is tested on various standard datasets, like remote sensing data of aerial images (UC Merced Land Use Dataset) and scene images from SUN database. The performance of the algorithm is evaluated based on the quality metric known as Mean Squared Error (MSE) and classification accuracy. The graphical representation of the experimental results is given on the basis of MSE against the number of training epochs. The experimental result analysis based on the quality metrics and the graphical representation proves that the algorithm (CNN) gives fairly good classification accuracy for all the tested datasets.
Project---20Newsgroup
In this project , the 20 newsgroup dataset has been classified using models like SVC, MultinomialNB, LinearSVC and I got an accuracy of 94,1%
75-Days-Challenge-With-TM
Daily Coding Challenge for the next 75 Days organized by TechMestro
ChatBot-App
A chatbot is an artificial intelligence (AI) software that can simulate a conversation (or a chat) with a user in natural language through messaging applications, websites, mobile apps or through the telephone.
Face-Mask-Detection
Face mask detection refers to detect whether a person is wearing a mask or not. In fact, the problem is reverse engineering of face detection where the face is detected using different machine learning algorithms for the purpose of security, authentication and surveillance. Face detection is a key area in the field of Computer Vision and Pattern Recognition.
Stock-Visualizing-Dashboard
Stock investments provide one of the highest returns in the market. Even though they are volatile in nature, one can visualise share prices and other statistical factors which helps the keen investors carefully decide on which company they want to spend their earnings on. Developing this simple project idea using the Dash library (of Python), we can make dynamic plots of the financial data of a specific company by using the tabular data provided by yfinance python library. On top of it we can use a machine learning algorithm to predict the upcoming stock prices. This project is a good start for beginners in python/data science and a good refresher for professionals who have dabbled in python / ML before. This web application can be applied to any company (whose stock code is available) of one's choosing, so feel free to explore.
ARSH-GOYAL-DSA-SHEET
DSA Sheet by Arsh Goyal, all the answers to the given questions in the sheet are coded in Python.
BlogWebApp-using-Django
BlogWebApp created using Django Web Framework with HTML, CSS and BootStrap as frontend. It includes blog posting, updating deleting along with user profile management and authentication system. This project is still in development stage with many more features that I think can be added to make it better. So anybody willing to contribute can contribute.
Booking-App
Creating a booking app using reactjs and nodejs
Customer-Service-Chatapp
This is a customer service chatapp developed using django
GoogleClone_with_Django_WebScrapping
A Google Clone app using Django and Web Scrapping
Loan-Prediction-dataset
Loan Prediction is a classification dataset where we need to find out the loan status of whether of not it will be approved based on the features.
Login-System
Login system using Python's Django Web Framework, It includes login authentication along with an extra layer of security i.e, email verification after only which the user can activate its account.