google-collab
There are 1 repository under google-collab topic.
shubhankar-shandilya-india / Accident-Detection-Model
Accident Detection Model using Deep Learning, OpenCV, Machine Learning, Artificial Intelligence.
Language:Jupyter Notebook 33XniceCraft / ffmpeg-colab
FFmpeg 6.0 for Google Colab
Language:Shell 20GokulSuseendran / Automated-Cricket-Commentary-
The project objective is to generate automated commentary for the cricket videos using computer vision and neural networks
Language:Jupyter Notebook 4Gooogr / Fast_Neural_Style_Transfer
Implementation of the fast neural style transfer algorithm on Keras. Includes Jupyter notebooks, python script and web app.
Language:Jupyter Notebook 4dineshssdn-867 / Sentiment-analysis-of-youtubers
Sentiment analysis is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. So, in this application, we are asking a YouTuber to enter the channel id and a particular timeline. By using the channel id and timeline we are performing sentiment analysis on his videos by fetching the subtitles of their videos in a particular timeline given by the YouTuber.Basically performing intent and emotion classification on his video subtitles.
Language:Jupyter Notebook 2HxnDev / N-Queen-Problem-using-Hill-Climbing-and-Simulated-Annealing
Hill climbing algorithm is a local search algorithm which continuously moves in the direction of increasing elevation/value to find the peak of the mountain or best solution to the problem. Simulated annealing is a probabilistic technique for approximating the global optimum of a given function.
Language:Jupyter Notebook 2alexhyasui1 / amazon-vine-analysis
Performed ETL processes in the cloud to upload a dataframe to an RDS instance and used PySpark to perform a statistical analysis on Amazon datasets.
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nicholaishaw / deep-learning-challenge
Michigan State University Data Analytics Neural Network Challenge
Language:Jupyter Notebook 1nsuryaa / smart-glass-for-blind
A groundbreaking initiative aimed at enhancing the independence and quality of life for individuals suffering from blindness and visual impairment. Navigating the world with limited vision presents numerous challenges, and our project addresses these difficulties through the integration of artificial intelligence and computer vision technologies.
Language:Python 1Prem-Jain / Machine-Learning
Machine Learning Models
Language:Jupyter Notebook 1YBI Foundation Internship : Hands-on Project and Capstone Project
Language:Jupyter Notebook 1sonadukane18 / Sentiment_Analysis_of_Restaurant_Review-
The aim of this project is to develop a robust sentiment analysis system that can automatically classify restaurant reviews as positive, negative, or neutral based on the sentiment expressed in the text.
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dw251414 / Amazon_Vine_Analysis-
Data analysis project using PySpark to perform the ETL process to extract data, transform it, connect it to AWS RDS, and load it into pgAdmin. Lastly, performed an analysis via PySpark, Pandas, & SQL to determine biases on reviews.
Language:Jupyter Notebook 0frieZZerr / data-visualization
Sets of dashboards created from example data
Language:Jupyter Notebook 0henriqueotogami / imersao-dados-3-alura
Terceira edição da Imersão Dados da Alura (03 a 07/05/21). O projeto dessa edição foi inspirado em um desafio do Laboratory Innovation Science at Harvard disponibilizado no Kaggle.
Language:Jupyter Notebook 0hitesh-c / buyer_analysis
Python, Google collab, data mining done during 6th semester
Language:Jupyter Notebook 0josephkerkhof / ds740-final
Analyze and predict if a flight will depart on time using airport data.
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KarlBorromeo / Thesis-App-Backup
This is my graduate thesis, a mobile applicaiton with computer vision
0karttiik / Plant-Disease-Classification
Potato disease classification model
Language:Jupyter Notebook 0Niraj-Khatri / Video_Game_Reviews
This project showcased the ETL process of big data. Raw data about Amazon video games reviews was collected from a site, placed into an AWS database, and queried against using Pyspark and SQL to find out whether Amazon vine reviews influenced customer feedback.
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shubham-777 / image_classification
Identifying the Digits using Image Classification
Language:Jupyter Notebook 0some examples of different terminologies used in ML and DL
Language:Jupyter Notebook 0vishant007 / annadataa
A Website For Farmers To Guide Them Regarding Crop Prouction In Their Native Language
Language:HTML 0WaleedAhmed05 / AI-Mask-Detector
AI Mask Detector using Deep learning convolutional neural network
Language:Jupyter Notebook 0Wall-E28 / amazon_vine_analysis
The purpose of the project is to analyze Amazon reviews written by members of the paid Amazon Vine program using AWS, PySpark, and SQL.
Language:Jupyter Notebook 0KarthikShetty27 / Predicting-Animal-Adoption-Rates-in-Austin
This project was done as a part of Data Analytics (DA) subject's Capstone Project
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MaruvarKuzhali / speech-emotion-recognition
Web Application that suggests activities based on user's speech emotion recognition using ML pre-trained model
Language:Jupyter NotebookMasoodGhauri / App_AI_Project_Sentiment_Analysis
Final Project of Applied AI about text classification on unlabeled data using NLI and BERT
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TheArturthur / neural-networks
Repo to recopilate try-outs on neural-networks design and implementation
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