Accident Detection Model using Deep Learning, OpenCV, Machine Learning, Artificial Intelligence.
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Updated
May 1, 2024 - Jupyter Notebook
Accident Detection Model using Deep Learning, OpenCV, Machine Learning, Artificial Intelligence.
Google Collaboratory notebooks for the SDSS 2020 workshop on "Introduction to programming quantum computers"
I am pursuing Course CSE 533 Social Network Analysis at Ahmedabad University. In this repo I will add codes, pdfs, and other resources utilized in the project. The Data-Set used is Nashville Meetup Network , and the link of Dataset is: https://www.kaggle.com/datasets/stkbailey/nashville-meetup
This repository contains data- preprocessing tools used by me to kickstart my journey of building machine learning models :)
Early detecting forest fires using IoT and deep learning algorithms.
Material de enseñanza: bases de datos, libros y prácticas
Data science and machine learning progressive projects with python.
Game Machine Learning Rock,Scissors,and Paper(Batu,Gunting,dan Kertas)
Data Analysis Using Google Collaboratory Python Pandas
Playing around with different ML models & concepts.
The data is about an A/B test with a mobile game, Cookie Cats.
This repository is dedicated to analyzing and visualizing sentiment patterns in social media data, providing insights into public opinion and attitudes towards specific topics, brands, or entities. The dashboard offers a detailed view of how different entities are perceived online, helping users to gauge overall sentiment and identify trends.
predicting image category using convolutional neural networks
Paǵina web para un curso básico de estadística (segunda parte)
This repository contains the python code for Heart Disease Prediction based on various input parameters, which is based on Classification (Logistic regression) a part of Supervised Machine Learning.
Welcome to the Zomato Bengaluru Restaurant Analysis repository. This project provides an in-depth analysis of restaurants listed on Zomato in Bengaluru. The dataset comprises over 40,000 records and 9 features, capturing essential details about various restaurants such as their names, locations, types, ratings, and more
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