googlecolaboratory
There are 0 repository under googlecolaboratory topic.
naklecha / google-colaboratory-copilot
A Github Copilot implemention for Google Colab. Say goodbye to alt tabbing 👋
Language:JavaScript 112fauzan1892 / Apriori
A python code running with jupyter notebook or google colabs, implementing the Data Mining Associating rule with Apriori algorithm.
Language:Jupyter Notebook 4fezzibasma / Orange-Spam-Detector
One of the main point that AT&T users are facing is constant exposure to SPAM messages🕵️♀️. AT&T has been able to manually flag spam messages for a time, but they are looking for an automated way of detecting spams to protect their users.📱
Language:Jupyter Notebook 2Adith-gowda / Fertilizer_Forecast
This is a Fertilizer Forecasting tool or an app, which predicts an optimal fertilizer from the collected soil and other depending factors. The tool is developed machine learning algorithms, streamlit-webapp. and streamlit-cloud.
Language:Jupyter Notebook 1Apoorva-Udupa / diabetes_prediction
A Machine learning project using Support Vector Machine
Language:Jupyter Notebook 1baluhiramanpatil / DATA-SCIENCE-CAPSTONE-PROJECTS
Simplilearn - Data Science Capstone Project - June, 2022
Language:Jupyter Notebook 1demining / btcd-Google-Colab
An alternative full node bitcoin implementation written in Go (golang) Google Colab
Language:Go 1Dhanashrimachhi / Automated-Web-Scraper-For-Amazon.com
In this repository I will explain how to scrap websites using python programming language with BeautifulSoup and Selenium.
Language:Jupyter Notebook 1A machine learning project which predicts Uber trip data for different factors.
Language:Jupyter Notebook 1This projects is made using pandas operation to analyze the dataset having data from some of the most famous streaming platforms - Netflix, Hulu, Prime Video and Disney+. In this project the visualizations are done in Plotly and Seaborn.
fatianzh / customer-churn-prediction
Hello, this is my final project with my friend when I joined Fresh Graduate Academy Program at Binar Academy in 2023.
Language:Jupyter Notebook 1Gus-1003 / Projetos_Geoestatistica
Praticas com Python para manipulação de dados Geográficos, físicos e socioeconômicos;
Language:Jupyter Notebook 1Haseeeb21 / Stack-in-Python
Implementing Stack in python by importing deque library, creating Class of Stack and making functions of stack implementations.
Language:Python 1hiro106 / jupyter-colab-tips-utils-notes
Notes of what are or seem to be useful for using Google Colaboratory. | Google Colaboratoryを使う時に役立った/役立ちそうな情報のメモ集（順次追加していく）
Messy artifacts produced in the process of my trials and errors for learning. | 学びの過程で発生した乱雑なコード群
Language:Jupyter Notebook 1JasonNiicholas / Defect-Classification-AOI-Aidea
Automated Optical Inspection (AOI) [1] is a high-speed and high-precision optical image inspection system that uses machine vision as the standard inspection technology to improve the shortcomings of traditional manual inspection using optical instruments.
Language:Jupyter Notebook 1kaushikmupadhya / Pima-Indians-Diabetes-Dataset
In this project, different machine learning approaches are used to detect the diabetes in patients using the PIMA Indians diabetes dataset.
Language:Jupyter Notebook 1meliy-meyada / Colaboratory-Notebooks-ML
Collection of google colaboratory notebooks artificial intelligence.
Language:Jupyter Notebook 1neerajcodes888 / Cat-Vs-Dog-Image-Classification
Repository for a deep learning model that classifies images as either cats or dogs using deep learning techniques. The model is trained on a diverse dataset and achieves high accuracy in distinguishing between these two popular pet categories. Includes pre-processing scripts, model architecture, and evaluation metrics for seamless implementation
Language:Jupyter Notebook 1shamitha29 / loan_approval_analysis
Loan approval analysis using Python
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nikoshaa / 2141720007-machine-learning-2023
Machine Learning
Language:Jupyter Notebook 0Computer Vision and Image Processing
Language:Jupyter Notebook 0RakshaSaxena / Face-Masking-model
Face Masking Model- Google Colab
Language:Jupyter Notebook 0rohitkadu / web-scraper-python
Web Scraper using Python
Language:Jupyter Notebook 0Zzzhenya / Your-New-Data-Team
Determining job market for data professionals and assessing challenges to provide an inclusive recruitment process/workplace, using Stack Overflow Developer Survey results of 2022.
Language:Jupyter Notebook 0AbhishekDataAnalyst / -CODING-SAMURAI
In this project, you will perform basic data analysis on a dataset of Airbnb listings. EDA is a fundamental step in data science that involves exploring and understanding the data before diving into more complex analysis or modeling.
Language:Jupyter NotebookJonathanCruze / WhiteBoard-in-Google-Colab
Pixelated handmade drawings classifier. Similar aproach to MNIST but the dataset it's made by myself on a WhiteBoard inside GoogleColaboratory.
Language:Jupyter NotebookKeshav25-2002 / MARKET-ANALYSIS-DASHBOARD-
The MARKET ANALYSIS DASHBOARD is a project that aims to provide a comprehensive analysis of market data.
Language:Jupyter NotebookLakshmikeerthi-22 / Model-to-predict-whether-a-person-makes-over-50k-dollars-a-year
To create a classification model to predict whether a person makes over $50k a year
Language:PythonComputer Vision and Image Processing
Language:Jupyter Notebookpraveendecode / Industrial_Copper_Modeling
Enhance data analysis and machine learning skills in the 'Industrial Copper Modeling' project. Tackle complex sales data challenges, employ regression models for pricing predictions, and master lead classification for targeted customer solutions
Language:Jupyter NotebookSaraAlturk / ExpertSystems
expert system using experta package-python
Language:Jupyter Notebookshreyakrishnakumar / SentimentAnalysisOfRestaurantReviews
This project deals with predicting the sentiment of the customers of a restaurant. The technology used is Artificial Intelligence and Machine Learning.
Language:Jupyter Notebookukesh10 / Skin-Cancer-Detection-Python-Project
This project contains code for skin cancer detection based on benign or malignant using transfer learning techniques.
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