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Some thing interesting about googlecolaboratory
Some thing interesting about googlecolaboratory
googlecolaboratory,Deployment of NVIDIA-CUDA on Google Colab. With in examples codes (Vector Addition and Matrix Multiplication).
User: aaaastark
googlecolaboratory, 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.
User: abhishekdataanalyst
googlecolaboratory,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.
User: adith-gowda
Home Page: https://adith-gowda-fertilizer-forecast-app-ky4huw.streamlit.app/
googlecolaboratory,A Machine learning project using Support Vector Machine
User: apoorva-udupa
googlecolaboratory,
User: axelledomingues
googlecolaboratory,Simplilearn - Data Science Capstone Project - June, 2022
User: baluhiramanpatil
googlecolaboratory,A machine learning model using support vector machine model
User: chandanagiridhar
googlecolaboratory,This repository is about the billionaires ranking list made by Forbes in the year 2022.
Organization: datanalysiskit
googlecolaboratory,Exploring Underrated Power of Bitcoin Utilities: comprehensive guide Google Colab and next big thing in cryptocurrency
User: demining
Home Page: https://cryptodeeptech.ru/bitcoin-utilities
googlecolaboratory, An alternative full node bitcoin implementation written in Go (golang) Google Colab
User: demining
googlecolaboratory,In this repository I will explain how to scrap websites using python programming language with BeautifulSoup and Selenium.
User: dhanashrimachhi
googlecolaboratory,A machine learning project which predicts Uber trip data for different factors.
User: dhanashrimachhi
googlecolaboratory,This 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.
User: dhanashrimachhi
googlecolaboratory,In this assignment I will put my ETL skills to the test. Many of Amazon's shoppers depend on product reviews to make a purchase. Amazon makes these datasets publicly available. However, they are quite large and can exceed the capacity of local machines to handle. One dataset alone contains over 1.5 million rows; with over 40 datasets, this can be quite taxing on the average local computer. My first goal for this project will be to perform the ETL process completely in the cloud and upload a DataFrame to an RDS instance. The second goal will be to use PySpark or SQL to perform a statistical analysis of selected data.
User: elliott-dev
googlecolaboratory,Pick one of 50 datasets and use PySpark to perform the ETL process to extract the dataset, transform the data, connect to an AWS RDS instance, and load the transformed data into pgAdmin. Next, use PySpark to determine if there is any bias toward favorable reviews from Vine members.
User: emaynard10
googlecolaboratory,Hello, this is my final project with my friend when I joined Fresh Graduate Academy Program at Binar Academy in 2023.
User: fatianzh
googlecolaboratory,A python code running with jupyter notebook or google colabs, implementing the Data Mining Associating rule with Apriori algorithm.
User: fauzan1892
googlecolaboratory,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.📱
User: fezzibasma
googlecolaboratory,Praticas com Python para manipulação de dados Geográficos, físicos e socioeconômicos;
User: gus-1003
googlecolaboratory,Creating class of Queue, which contains functions of queue implementation, by importing deque library.
User: haseeeb21
googlecolaboratory,Implementing Stack in python by importing deque library, creating Class of Stack and making functions of stack implementations.
User: haseeeb21
googlecolaboratory,Threading in python is used to run multiple tasks, or functions (threads) at the same time, they all run parallelly.
User: haseeeb21
googlecolaboratory,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)
User: hiro106
googlecolaboratory,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
User: hiro106
googlecolaboratory,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.
User: jason-nicholas
Home Page: https://github.com/JasonNiicholas/Defect-Classification-AOI-Aidea
googlecolaboratory,Pixelated handmade drawings classifier. Similar aproach to MNIST but the dataset it's made by myself on a WhiteBoard inside GoogleColaboratory.
User: jonathancruze
Home Page: https://colab.research.google.com/drive/1xgEADBafrzOMSwvCQqMF-iS-mI54hWad?usp=sharing
googlecolaboratory,In this project, different machine learning approaches are used to detect the diabetes in patients using the PIMA Indians diabetes dataset.
User: kaushikmupadhya
googlecolaboratory,The MARKET ANALYSIS DASHBOARD is a project that aims to provide a comprehensive analysis of market data.
User: keshav25-2002
googlecolaboratory,To create a classification model to predict whether a person makes over $50k a year
User: lakshmikeerthi-22
googlecolaboratory,
User: marceladoradomunoz
googlecolaboratory,
User: marceladoradomunoz
googlecolaboratory,Collection of google colaboratory notebooks artificial intelligence.
User: meliy-meyada
googlecolaboratory,Deep Learning model for predicting success after donation coded in Google Colab
User: mmcdan13
googlecolaboratory,A Github Copilot implemention for Google Colab. Say goodbye to alt tabbing 👋
User: naklecha
googlecolaboratory,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
User: neerajcodes888
Home Page: https://github.com/neerajcodes888/Cat-Vs-Dog-Image-Classification/blob/main/CatVsDogs.ipynb
googlecolaboratory,Machine Learning
User: nikoshaa
googlecolaboratory,Computer Vision and Image Processing
User: nikoshaa
googlecolaboratory,A deep learning model trying to predict the propabillity of being diagnosed with diabetes type-2
User: ozkedem
googlecolaboratory,Using the AWS webserver, ETL process with Pyspark analyze video game data from the Amazon Vine program to determine bias toward the program.
User: patelprincy34
googlecolaboratory,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
User: praveendecode
googlecolaboratory,Face Masking Model- Google Colab
User: rakshasaxena
googlecolaboratory,Web Scraper using Python
User: rohitkadu
Home Page: https://colab.research.google.com/github/rohitkadu/web-scraper-python/blob/main/web_scraper.ipynb
googlecolaboratory,Machine learning model to predict the salaries of the employees working at different position levels according to their work experience using Random Forest Classifier Algorithm
User: sahilgufran
googlecolaboratory,expert system using experta package-python
User: saraalturk
googlecolaboratory,Loan approval analysis using Python
User: shamitha29
googlecolaboratory,This is a Heart Disease Prediction model trained using machine learning
User: shreyrpatel
googlecolaboratory,This project contains code for skin cancer detection based on benign or malignant using transfer learning techniques.
User: ukesh10
googlecolaboratory,Collected data sets from kaggle. Pre-processed the data using keras and trained the sequential model. Optimized the model using TensorFlow and evaluated with 87% accuracy.
User: yogesh134
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An Open Source Machine Learning Framework for Everyone
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
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Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.