Dipit Vasdev's Projects
This project entitled Address Book Management System is a contact management system. It is based on the concept of Object Oriented Programing and use of Binary File.
GIVEN 5 FEATURES PREDICT THE AIR QUALITY INDEX
When choosing to watch a movie or TV show, reviews and ratings are often relied upon to make informed decisions. However, these reviews can inadvertently reveal significant plot details, leading to spoilers that diminish the viewing experience for newcomers. In our project, our aim is to address this issue by utilizing deep learning techniques.
Hosted platform
A personal Book App #30DaysOfKotlin
This is just a simple c++ project
This project uses KMeans++ Model to pick dominant colors and Segment the given image.
This project focuses on analyzing and visualizing the World Development Indicators (WDI) dataset from the World Bank. By leveraging Python libraries such as pandas, seaborn, matplotlib, and numpy, it extracts insights and trends from various development indicators across different countries, showcasing key economic and social metrics.
Learn to build a Deep Neural Network from scratch!
A repo of the codes I do
Real Time Face Recognition using KNN and HaarCascade Classifier
Implemented many high-level android concepts such as Async Task, Volley and ROOM.
This project uses machine learning to categorize GitHub issues into types such as bug, enhancement, and question. Trained on Databricks using PySpark and scikit-learn, it achieves 85% accuracy with Logistic Regression. The classifier is deployed on PythonAnywhere with a Flask API and a React frontend for easy interaction and visualization.
Recognising Hand Written Digits
Sentiment analysis to predict whether a review is positive or negative
I am a python beginner, this was something I tried. So don't blame me if the code does not meet the standards. You can try to suggest me to do better and I will try to learn. So, DISCLAIMER: I AM JUST A BEGINNER
ML Online Course Repository. Course videos on online.codingblocks.com
In this project, we aimed to design a modified ResNet architecture for the CIFAR10 image classification dataset with no more than 5 million parameters.
Rok Papr Scissor is a multiplayer game that can be played on computer devices. Two players point their hands (rock, paper and scissor) at the camera and then using computer vision techiniques computer tells which player has won the game.
Goal is to predict the class of mushrooms, given some features of the mushrooms. We will use Naive Bayes Model for this classification
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