GitHub topics: googlecolaboratory
subhas-pramanik-09/Machine-Learning-with-Python
A complete record of my Machine Learning with Python learning
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naklecha/google-colaboratory-copilot
A Github Copilot implemention for Google Colab. Say goodbye to alt tabbing 👋
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AnuragKush2527/Credit-Card-Fraud-Detection-System
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Ryan-infitech/Deepseek-on-cloud
Semi-local chatbot 😂 | Running Deepsek 1.5B via cloud tunneling with Ngrok. Made with 💖 for potato device :v
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Ryan-infitech/Sistem-Absensi-Dengan-Face-Recognition
Sistem Absensi Berbasis Face Recognition dengan Cloud Computing dan AWS DynamoDB
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nsnrr9/YOLOv8-YOLOv9-YOLOv10-on-Adverse-Weather-OD
This research aims to understand the efficiency of Single step object detection frameworks YOLOv8, YOLOv9 and YOLOv10 on object detection in adverse weather conditions.
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fauzan1892/Apriori
A python code running with jupyter notebook or google colabs, implementing the Data Mining Associating rule with Apriori algorithm.
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piyush06singhal/Youtube_Video_classifier
The YouTube Comment Analyzer is a web application that extracts and analyzes YouTube video comments using the YouTube Data API and TextBlob. It provides insights into sentiment and genre while enabling users to save comments directly to Google Drive.
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RSN601KRI/Electric-Vehicles-Market-Size-Analysis
The Electric Vehicles Market Size Analysis project is a comprehensive study aimed at understanding the current state and potential growth of the Electric Vehicles (EVs) market.
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demining/btcd-Google-Colab
An alternative full node bitcoin implementation written in Go (golang) Google Colab
Language: Go - Size: 15.9 MB - Last synced at: 14 days ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 10
demining/Bitcoin-Utilities
Exploring Underrated Power of Bitcoin Utilities: comprehensive guide Google Colab and next big thing in cryptocurrency
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coderx0319/Brain_Tumor_Prediction
This Streamlit app allows you to upload an MRI image and predict if there's a brain tumor or not. The app uses a trained Keras model to make the predictions.
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isacciobota/SLMLab-x-GoogleColab
Instructions and experiments for running SLM Lab in Google Colab with Atari Freeway Game
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RizkyPutraKurniawan24/Machine-Learning-Beginner
This repository was created by me, a student who wants to learn machine learning !
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Dhanashrimachhi/Data-Analysis-of-Uber-Data
A machine learning project which predicts Uber trip data for different factors.
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marceladoradomunoz/estadistica_inferencia_e_hipotesis
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marceladoradomunoz/conexi-n_postgresql_python_marcela_dorado
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marceladoradomunoz/graficacion_limpieza_datos_marcela_dorado
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marceladoradomunoz/tabaquismo_y_gestacion_marcela_dorado
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AyorindeTayo/Churn-Analysis-
The work uses Hopsworks for Feature store and creating Feature groups for Macheine learning modeling
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kaushikmupadhya/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.
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neerajcodes888/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
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shreyakrishnakumar/SentimentAnalysisOfRestaurantReviews
This project deals with predicting the sentiment of the customers of a restaurant. The technology used is Artificial Intelligence and Machine Learning.
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AbhishekDataAnalyst/-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.
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SaraAlturk/ExpertSystems
expert system using experta package-python
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praveendecode/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
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JasonNiicholas/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.
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Apoorva-Udupa/diabetes_prediction
A Machine learning project using Support Vector Machine
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ChandanaGiridhar/diabetes_prediction
A machine learning model using support vector machine model
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nikoshaa/PCVK_Ganjil_2023
Computer Vision and Image Processing
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nikoshaa/2141720007-pcvk-2023
Computer Vision and Image Processing
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nikoshaa/2141720007-machine-learning-2023
Machine Learning
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Keshav25-2002/MARKET-ANALYSIS-DASHBOARD-
The MARKET ANALYSIS DASHBOARD is a project that aims to provide a comprehensive analysis of market data.
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JonathanCruze/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.
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AxelleDomingues/Memoire-2
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meliy-meyada/Colaboratory-Notebooks-ML
Collection of google colaboratory notebooks artificial intelligence.
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shamitha29/loan_approval_analysis
Loan approval analysis using Python
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Adith-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.
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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.
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ukesh10/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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rohitkadu/web-scraper-python
Web Scraper using Python
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Haseeeb21/Stack-in-Python
Implementing Stack in python by importing deque library, creating Class of Stack and making functions of stack implementations.
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RakshaSaxena/Face-Masking-model
Face Masking Model- Google Colab
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Dhanashrimachhi/Automated-Web-Scraper-For-Amazon.com
In this repository I will explain how to scrap websites using python programming language with BeautifulSoup and Selenium.
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Dhanashrimachhi/Data-Analysis-Top-Movie-Streaming
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.
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hiro106/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）
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hiro106/statistics-ml-cs-learning
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
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AxelleDomingues/LDFS3-ArtDefContFR
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Zzzhenya/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.
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mmcdan13/Neural_Network_Charity_Analysis
Deep Learning model for predicting success after donation coded in Google Colab
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Haseeeb21/Threading-using-Queue
Threading in python is used to run multiple tasks, or functions (threads) at the same time, they all run parallelly.
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Haseeeb21/Queue-in-Python
Creating class of Queue, which contains functions of queue implementation, by importing deque library.
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Haseeeb21/Food-Ordering-System-
This system can be used in any ordering place, as it uses Queue data structure which follows FIFO sequence with enquing and dequing as main functions.
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emaynard10/Amazon_Vine_Analysis
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.
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Gus-1003/Geoestatistica_Estudos_Dados
Praticas com Python para manipulação de dados Geográficos, físicos e socioeconômicos;
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Salllym/Deep-Learning
Deep learning and neural networks were used to determine if Alphabet Soup, whom previously funded over 34,000 organizations, would successfully fund applicants
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patelprincy34/Amazon_Vine_Analysis
Using the AWS webserver, ETL process with Pyspark analyze video game data from the Amazon Vine program to determine bias toward the program.
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Elliott-dev/Big-Data-Challenge--Amazon-Shoppers-Product-Reviews
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.
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aaaastark/NVIDIA-CUDA-Google-Colab
Deployment of NVIDIA-CUDA on Google Colab. With in examples codes (Vector Addition and Matrix Multiplication).
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datanalysiskit/Forbes_2022_Billionaires
This repository is about the billionaires ranking list made by Forbes in the year 2022.
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SahilGufran/SalaryPredictorModel
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
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