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.
deep-learning google-collab google-collaboratory hacktoberfest hacktoberfest-accepted hacktoberfest2023 machine-learning opencv python yolo yolov8
Language:Jupyter Notebook 58
XniceCraft / ffmpeg-colab
FFmpeg 7.1 for Google Colab
ffmpeg google-colab colab-notebook ffmpeg-installer ffmpeg-colab google-collab x264 x265 mp3 aac
Language:Shell 25
GokulSuseendran / Automated-Cricket-Commentary-
The project objective is to generate automated commentary for the cricket videos using computer vision and neural networks
nueral-networks google-collab python3 streamlit-webapp msexcel
Language:Jupyter Notebook 6
Gooogr / Fast_Neural_Style_Transfer
Implementation of the fast neural style transfer algorithm on Keras. Includes Jupyter notebooks, python script and web app.
article autoencoder google-collab keras notebook perceptual-losses streamlit style-transfer tensorflow
Language:Jupyter Notebook 5
Prem-Jain / YBI-Foundation
YBI Foundation Internship : Hands-on Project and Capstone Project
google-collab capstone-project computer-science hands-on jupiter-notebook machine-learning machine-learning-algorithms python
Language:Jupyter Notebook 3
dineshssdn-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.
bert classification youtube subtitles sentiment-analysis deep-learning google-collab emotion-recognition intent-classification youtube-api-v3 nlp
Language:Jupyter Notebook 2
HxnDev / 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.
n-queens hill-climbing hill-climbing-search simulated-annealing algorithm pyhton jupyter-notebook google-collab code problem-solving
Language:Jupyter Notebook 2
nsuryaa / 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.
cnn google-collab image-captioning jetpack-compose jetson jetson-nano-2gb lstm ml opencv python tesseract yolo
Language:Python 2
alexhyasui1 / 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.
aws etl rds pyspark google-collab sql
Language:Jupyter Notebook 1
arezyhs / Python-Implementation-of-Polynomial-Lagrange-Interpolation
Metode Interpolasi Polinomial Lagrange untuk menghitung nilai perkiraan Y berdasarkan titik data X dan Y yang diberikan. Metode ini menghasilkan polinomial Lagrange hingga orde yang ditentukan untuk mendekati nilai pada titik tertentu dengan akurasi yang dapat diukur menggunakan berbagai metrik error.
google-collab ipynb lagrange-interpolation
Language:Jupyter Notebook 1
ashershaw / deep-learning-challenge
Michigan State University Data Analytics Neural Network Challenge
google-collab neural-network python sklearn tensorflow
Language:Jupyter Notebook 1
ganesh-deshmukh / Google-colab-hcr
google-collab python3 tensorflow
Language:Jupyter Notebook 1
heshamoomar / Predictive-models-using-Machine-Learning-Deep-Learning
models built using various machine learning techniques to predict floods and earthquakes
data-visualization deep-learning google-collab jupyter-notebook machine-learning
Language:Jupyter Notebook 1
iamkrithik / Resume-Screeing
jupyter-notebook google-collab resume resume-screening
Language:Jupyter Notebook 1
jean-mb / analises-cyberattacks
4° Projeto mensal do semestre 2024.2 - 6° Período
datascience google-collab matplotlib pandas seaborn
Language:Jupyter Notebook 1
khanArham0029 / Digital-Image-Processing-A2
google-collab image-processing jupyter-notebook python3
Language:Jupyter Notebook 1
luccemhu / article-senaju
Repositorio con análisis de los data ENAHO de los módulos...
google-collab machine-learning python rstudio
1
Niraj-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.
aws google-collab pyspark
Language:Jupyter Notebook 1
Prem-Jain / Machine-Learning
Machine Learning Models
machine-learning-algorithms computer-science exploratory-data-analysis google-collab jupiter-notebook machine-learning python scikitlearn-machine-learning
Language:Jupyter Notebook 1
sonadukane18 / 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.
artificial-intelligence google-collab natural-language-processing python sentiment-analysis
Language:Jupyter Notebook 1
TrungLuong1194 / breast-cancer-classification
augmentation cancer-detection convolutional-neural-networks deep-learning google-collab image-classification machine-learning pca-analysis pytorch smote-oversampler
Language:Jupyter Notebook 1
12eymanameer / prodigy_da_task_04
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.
analytics data-analysis google-collab google-collaboratory powerbi python sentiment-analysis
0
chauhangitanshu87 / Product-Reviews-Sentimental-Analysis
In this project, I have classified product reviews from E-commerce website into positive, negative, and neutral category, with the help of machine learning and Natural language Processing.
machine-learning nlp-machine-learning python google google-collab
Language:Jupyter Notebook 0
DeshveerBatth / Maze-Solver
About Maze solving using dijkistra algorithm
dijkstra-algorithm google-collab maze-solver python3
Language:Jupyter Notebook 0
Fenanders / Final_Dicoding_Submission
This is the final Project of kelas Dasar Machine Learning on Dicoding
google-collab image-classification machine-learning python
Language:Jupyter Notebook 0
frieZZerr / data-visualization
Sets of dashboards created from example data
data-visualization google-collab jupiter-notebook ms-excel python web-scraping
Language:Jupyter Notebook 0
hitesh-c / buyer_analysis
Python, Google collab, data mining done during 6th semester
data-mining google-collab python weka
Language:Jupyter Notebook 0
ifYanneelse / DataScience-Projects
:bar_chart: Data Science projects: learning and challenges
collaboratory data-science dataset google-collab kaggle python
Language:Jupyter Notebook 0
KarlBorromeo / Thesis-App-Backup
This is my graduate thesis, a mobile applicaiton with computer vision
android-application computer-vision google-collab image-processing kotlin machine-learning python tensroflow vgg16-model
0
MaruvarKuzhali / speech-emotion-recognition
Web Application that suggests activities based on user's speech emotion recognition using ML pre-trained model
flask google-collab jupyter-notebook ml python mlp-classifier multilayer-perceptron-network
Language:Jupyter Notebook 0
MasoodGhauri / App_AI_Project_Sentiment_Analysis
Final Project of Applied AI about text classification on unlabeled data using NLI and BERT
bert-model fine-tuning google-collab nli-model python text-classification transformers
Language:Jupyter Notebook 0
vishant007 / annadataa
A Website For Farmers To Guide Them Regarding Crop Prouction In Their Native Language
django flask-application google-collab kaggle machine-learning-algorithms numpy pandas python3 scikit-learn
Language:HTML 0
Gasca78 / inmersion_data_project
Proyecto de Inmersión de Datos en Python, organizado por la empresa Alura Latam donde aprendimos un poco del análisis de datos con python trabajando con una base de datos de un banco alemán para definir que modelo de machine learning sería el indicado para saber si un cliente pagará o no un crédito
google-collab python
Language:Jupyter Notebook
KarthikShetty27 / Predicting-Animal-Adoption-Rates-in-Austin
This project was done as a part of Data Analytics (DA) subject's Capstone Project
austin-animal-center austin-animal-outcomes data-analysis data-science data-visualization google-collab jupiter-notebook matplotlib numpy pandas python3 seaborn austin-texas-gov-data
Language:Jupyter Notebook
prajwalp3 / Cardiovascular-Disease-prediction-using-Machine-learning-models
Our project utilizes machine learning models to predict cardiovascular diseases (CVDs) by analyzing diverse datasets and exploring 14 different algorithms. The aim is to enable early detection, personalized interventions, and improved healthcare outcomes.
bagging-classifier decision-tree-classifier exploratory-data-analysis google-collab gradient-boosting-classifier k-nearest-neighbor-classifier kaggle-dataset lgbmclassifier linear-svc logistic-regression naive-bayes-classifier perceptron-neural-networks python ridge-classifier stochastic-gradient-descent support-vector-machines xgboost-classifier random-forest-classifier
Language:Jupyter Notebook
sonika-uppalapati / Python-Project-Build-a-PDF-File-Handling-Tool-from-Scratch
Python Project: Build a PDF File Handling Tool from Scratch
google-collab python python-application
Language:Jupyter Notebook

google-collab

shubhankar-shandilya-india / Accident-Detection-Model

XniceCraft / ffmpeg-colab

GokulSuseendran / Automated-Cricket-Commentary-

Gooogr / Fast_Neural_Style_Transfer

Prem-Jain / YBI-Foundation

dineshssdn-867 / Sentiment-analysis-of-youtubers

HxnDev / N-Queen-Problem-using-Hill-Climbing-and-Simulated-Annealing

nsuryaa / smart-glass-for-blind

alexhyasui1 / amazon-vine-analysis

arezyhs / Python-Implementation-of-Polynomial-Lagrange-Interpolation

ashershaw / deep-learning-challenge

ganesh-deshmukh / Google-colab-hcr

heshamoomar / Predictive-models-using-Machine-Learning-Deep-Learning

iamkrithik / Resume-Screeing

jean-mb / analises-cyberattacks

khanArham0029 / Digital-Image-Processing-A2

luccemhu / article-senaju

Niraj-Khatri / Video_Game_Reviews

Prem-Jain / Machine-Learning

sonadukane18 / Sentiment_Analysis_of_Restaurant_Review-

TrungLuong1194 / breast-cancer-classification

12eymanameer / prodigy_da_task_04

chauhangitanshu87 / Product-Reviews-Sentimental-Analysis

DeshveerBatth / Maze-Solver

Fenanders / Final_Dicoding_Submission

frieZZerr / data-visualization

hitesh-c / buyer_analysis

ifYanneelse / DataScience-Projects

KarlBorromeo / Thesis-App-Backup

MaruvarKuzhali / speech-emotion-recognition

MasoodGhauri / App_AI_Project_Sentiment_Analysis

vishant007 / annadataa

Gasca78 / inmersion_data_project

KarthikShetty27 / Predicting-Animal-Adoption-Rates-in-Austin

prajwalp3 / Cardiovascular-Disease-prediction-using-Machine-learning-models

sonika-uppalapati / Python-Project-Build-a-PDF-File-Handling-Tool-from-Scratch