Ecosyste.ms: Awesome

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NumPy

NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

https://github.com/muhammad-fiaz/gpt

A simple implementation based on the "Attention is All You Need" paper, using GPT-2 for text generation.

attention-is-all-you-need gpt gpt-2 gpt-3 gpt-implementation gpt-using-pytorch gpt2 numpy open-source paper-implementations python pytorch pytorch-implementation

Last synced: 12 Jan 2025

https://github.com/rayyan9477/machine-learning-driven-backorder-prediction-system

Experience a state-of-the-art Django web application designed to predict product backorders with exceptional accuracy. This platform leverages advanced machine learning techniques, incorporating pre-trained Random Forest Classifier, Decision Tree, and LGBM models.

matplotlib notebook numpy pandas python scikit-learn

Last synced: 10 Jan 2025

https://github.com/rayyan9477/data-driven-house-price-prediction-and-property-recommendation-app

The app leverages algorithms to accurately predict house prices and recommend similar properties based on a saved dataset through content-based filtering. It is tailored for homebuyers seeking their dream house and real estate investors looking for profitable opportunities, providing powerful insights and data-driven decision-making support.

data-science eda html machine-learning numpy pandas python scikit-learn

Last synced: 10 Jan 2025

https://github.com/carlosvinimsouza/dataanalysiswithpython

Learn Data Analysis using Libs Python (Numpy, Pandas, Matplotlib and Seaborn)

data-analysis data-science free-code-camp matplotlib numpy pandas python python3 seaborn

Last synced: 11 Jan 2025

https://github.com/vitroid/tilecycles

Tessellate a graph into cycles.

genice2 graph numpy tiling

Last synced: 10 Jan 2025

https://github.com/tom-mohr/clevertable

Consistent, intelligent transformation of text-based tabular data into numerical data.

conversion data-science numpy pandas python

Last synced: 10 Jan 2025

https://github.com/rezaafaisal/air-quality-analytics

This project focuses on creating a dashboard using streamlit. The purpose is to analyze the air quality at each station in china whose dataset is sourced from kaggle.com.

dashboard data-visualization data-wrangling exploratory-data-analysis numpy pandas python streamlit

Last synced: 24 Dec 2024

https://github.com/li-plus/tinynn

An educational PyTorch-like neural network framework based on NumPy

autograd deep-learning machine-learning neural-network numpy python

Last synced: 24 Dec 2024

https://github.com/salazarr-js/ds-demo-medical-cost

Demo de progreso del curso de data science en Acamica

data-science machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 11 Jan 2025

https://github.com/leabrodyheine/water-pump-status-prediction

This project implements machine learning models to predict the status of water pumps in Tanzania using data from DrivenData's competition. The project includes preprocessing steps, model evaluation using cross-validation, and hyperparameter optimization with Optuna.

argparse cross-validation gradient-boosting-classifier logistic-regression machine-learning multilayer-perceptron numpy optuna pandas random-forest-classifier scikit-learn

Last synced: 11 Jan 2025

https://github.com/pspanoudakis/data-mining-techniques-projects

Data Visualization 📊 Clustering and Classification 🗂️ techniques on Customer 🛍️ & Book 📖 datasets

customer-personality-analysis goodreads-data matplotlib numpy pandas python-typing seaborn sklearn-classifier sklearn-clustering wordcloud

Last synced: 18 Dec 2024

https://github.com/gyanz/py-gpu-scripts

Sample python scripts for gpu processing

gpu numpy pysdl2 python vulkan

Last synced: 12 Jan 2025

https://github.com/aarryasutar/pipe_leak_estimation_predictor_model

The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference

bayesian-networks cpd csv dag data-frames inference model-verification numpy pandas pgmpy pressure-sensors probabilistic-graphical-models probability python variable-elimination-algorithm

Last synced: 12 Jan 2025

https://github.com/aarryasutar/credit_eda

This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.

binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 12 Jan 2025

https://github.com/py-mp3/boston-comparing-regression-modules

A ipynb file that compares different regression modules in the sk.learnit library.

ipython-notebook numpy pandas python regression-models seaborn sklearn

Last synced: 12 Jan 2025

https://github.com/carlthome/ipytoolbox

A collection of IPython magics and other utilities

ipython jupyter matplotlib numpy

Last synced: 18 Dec 2024

https://github.com/jayanthsd2003/dms_sarathi_-driver-monitoring_system-

This is a project which can be seen on TATA Trucks and other premium edition cars based and focussed on the safety and monitoring driver Consciousness state

dlib dlib-face-detection numpy opencv-python pygame python pyttsx3 scipy

Last synced: 18 Dec 2024

https://github.com/furkankayar/hybridneuralnet

Decision tree powered artificial neural network library.

cpp decision-tree neural-network numpy pybind11 python3

Last synced: 12 Jan 2025

https://github.com/henriqueotogami/curso-de-python3-udemy

Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.

iris-dataset jupyter-notebook linear-regression numpy pandas-python python3 udemy

Last synced: 24 Dec 2024

https://github.com/fiercex/toynn

Python实现神经网络

mnist-classification neural-network numpy python

Last synced: 12 Jan 2025

https://github.com/sonu275981/face-mask-detection-web-app

Face Mask Detection web application built with Flask, Keras-TensorFlow, OpenCV. It can be used to detect face masks both in images and in real-time camera video using browser.

flask-application haar-cascade-classifier haarcascade-frontalface javascript keras-tensorflow mask mask-detection numpy opencv webapp

Last synced: 24 Dec 2024

https://github.com/programmer-rd-ai/dimensionality-reduction

DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.

analytics data-analysis data-science lightgbm machine-learning matplotlib numpy pandas programming python python3 sklearn university xgboost

Last synced: 12 Jan 2025

https://github.com/aniketmondal/da_youtube_popular_videos

Analysis of current most popular YouTube videos. Contains real-life data collection using API, storing data in Cloud database, analysis of various data types in Pandas, and creating visualizations using Seaborn, Matplotlib.

cloud-database compute-engine data-cleaning data-science data-wrangling datetime-library google-cloud-platform ipython-notebook matplotlib numpy pandas pgadmin4 postgresql psycopg2 python python-dotenv seaborn virtual-machine youtube-api-v3

Last synced: 12 Jan 2025

https://github.com/vustron/car_price_predictor_backend

The backend server for the machine-learning model for prediction of car price

flask flask-api flask-backend flask-restful machine-learning numpy pandas python rest-api

Last synced: 01 Jan 2025

https://github.com/abeed04/hotel-bookings-prediction-using-machine-learning

Random forest algorithm can be used to analyze hotel booking data and predict booking behavior. This allows hotels to optimize pricing strategies, staffing, and identify potential cancellations for proactive guest communication.

flask numpy pandas-dataframe pickle-file pycharm-ide python randomforestalgorithm sklearn-library sklearn-metrics

Last synced: 19 Dec 2024

https://github.com/ngirimana/decision-trees-and-random-forest-

For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).

artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn

Last synced: 01 Jan 2025

https://github.com/lasithaamarasinghe/movie-recommender-system

This ML model recommends movies that may align with the user's preferences based on TF-IDF matrix.

jupyter-notebook machine-learning movie-recommendation movielens-dataset numpy pandas python regex scikit-learn tf-idf-vectorizer

Last synced: 10 Jan 2025

https://github.com/ayaanjawaid/brain_stroke_prediction

project aims to predict the likelihood of a stroke based on various health parameters using machine learning models. The dataset is preprocessed, analyzed, and multiple models are trained to achieve the best prediction accuracy.

decision-trees exploratory-data-analysis matplotlib numpy pandas python regression xgboost

Last synced: 22 Dec 2024

https://github.com/ax-va/numpy-pandas-matplotlib-scikit-learn-vanderplas-2023

These examples provide an introduction to Data Science and classic Machine Learning using NumPy, Pandas, Matplotlib, and scikit-learn. They are taken, with some changes, from the book "Python Data Science Handbook: Essential Tools for Working with Data", Second Edition, written by Jake VanderPlas and published by O'Reilly Media in 2023.

ax-va classic-machine-learning data-science machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 18 Nov 2024

https://github.com/ayaanjawaid/vizualite

Vizualite allows you to upload dataset and clearly view the attributes and allows you to create vizualizations, you can also download dataset.

matplotlib numpy pandas python3 streamlit

Last synced: 22 Dec 2024

https://github.com/nguyenanhtuan1912/computer_vision_exercises

Trong này sẽ chứa các file source về bài tập Computer Vision.

computer-vision numpy opencv python

Last synced: 16 Nov 2024

https://github.com/statute8234/laser-strategy

Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.

math numpy pygame random sys time

Last synced: 18 Nov 2024

https://github.com/mohd-faizy/learn_numpy

NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.

array-manipulations numpy numpy-arrays numpy-matrix numpy-neural-network numpy-python numpy-tutorial

Last synced: 13 Nov 2024

https://github.com/statute8234/python-finance

Rating: (8/10) The code performs a linear regression analysis on stock data using the yfinance library, importing necessary libraries, selecting stock symbols, downloading data, fitting a model, making predictions, and visualizing results.

datetime matplotlib numpy pandas random sklearn yfinance

Last synced: 18 Nov 2024

https://github.com/statute8234/circuitpythonprojects

Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.

matplotlib numpy os pyspice sys

Last synced: 18 Nov 2024

https://github.com/statute8234/pygamecicruit

Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.

matplotlib numpy os pygame pyspice random sys

Last synced: 18 Nov 2024

https://github.com/bhattbhavesh91/tf-numpy-example

Faster NumPy using Tensorflow's tf.experimental.numpy module

keras numpy tensorflow

Last synced: 16 Nov 2024

https://github.com/yantonov/ml-docker

Playground for common python ml libraries

anaconda catboost docker docker-image jupiter numpy pyplot python scipy sklearn

Last synced: 12 Dec 2024

https://github.com/martincastroalvarez/python-deep-learning-algorithms

Combinatorics implemented with numpy, matplotlib and scipy.

algebra combinatorics matplotlib numpy python scipy

Last synced: 22 Dec 2024

https://github.com/ankushmallick1100/django-insurance-premium-predictor-web-app

This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.

bootstrap bootstrap5 css django gradientboosting gradientboostingregressor html insurance-prediction insurance-premium-predictor machine-learning matplotlib numpy pandas python regression regression-models sklearn tailwind tailwind-css tailwindcss

Last synced: 08 Jan 2025

https://github.com/quantum-software-development/limits-calculus-i

✍️ Math Calculus I - Limits and Derivatives Exercises - AI Data Science - PUCSP University

calculus derivative django latex-code leonardo-ai limits mathpix maths numpy overleaf python3 rest-api

Last synced: 20 Nov 2024

https://github.com/kleinyuan/numpy-ml

Implementations of machine learning concepts in modules with basic numpy

basics machine-learning numpy

Last synced: 25 Nov 2024

https://github.com/paulo-santos-ds/desenvolvimento_pocos_petroleo

Este projeto tem como objetivo desenvolver um modelo que possa prever o melhor local para a perfuração de poços de petróleo. Utilizando modelo de Machine Learning para poder prever o lucro de cada poço.

math matplotlib-pyplot numpy pandas python3 sklearn

Last synced: 08 Jan 2025

https://github.com/jparedesds/email-mapi-automation

Automation of documentation entry through email(Outlook/IMAP) to excel and BBDD (ERP)

beautifulsoup4 imap-client numpy outlook pandas regex shutil timestamp xlsxwriter

Last synced: 21 Nov 2024

https://github.com/prathameshdhande22/data-visualization-tutorial

Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial

data-visualization jupyter-notebook matplolib numpy pandas pandas-dataframe python seaborn tutorial

Last synced: 14 Jan 2025

https://github.com/isa1asn/mnist-neural-net

Applying neural networks on the MNIST dataset (from scratch & using tf)

from-scratch keras mnist-classification neural-networks numpy pandas relu-activation softmax tensorflow

Last synced: 19 Nov 2024

https://github.com/isa1asn/line_following_robot_ros2

A line track follower robot with a camera sensor using ros2 and cv2

cv2 numpy opencv-python python3 ros2 ros2-humble sensor xacro

Last synced: 19 Nov 2024

https://github.com/eljandoubi/landmark-classification-tagging-for-social-media

a CNN-powered app to automatically predict the location of the image based on any landmarks depicted in the image.

cnn-classification numpy pytest pytorch transfer-learning

Last synced: 25 Nov 2024

https://github.com/tejasvi541/machine-learning

My Machine and Deep Learning Practice and Projects Notebooks

matplotlib numpy python3 pytorch sklearn tensorflow

Last synced: 12 Jan 2025

https://github.com/affromero/pixelcache

A versatile image processing library for Python with built-in support for caching, using Pillow, NumPy, and PyTorch.

image-processing numpy opencv pillow pytorch torchvision

Last synced: 07 Dec 2024

https://github.com/csoren66/credit-card-fraud-detection

Credit card fraud detection through logistic regression.

logistic-regression machine-learning numpy pandas python sklearn

Last synced: 13 Jan 2025

https://github.com/jdavydovportfolio/careerpredictor

A project leveraging AI and Machine Learning (Logistic Regression) to predict graduate job placements. Includes data preprocessing, exploratory analysis, and predictive modeling.

artificial-intelligence exploratory-data-analysis jupyter-notebook linear-regression logistic-regression machine-learning machine-learning-algorithms machine-learning-models matplotlib ml numpy pandas pandas-dataframe predictive-modeling programming python scikit-learn

Last synced: 07 Dec 2024

https://github.com/oneblack333/amazon-sales-analysis

A MySQL project for Amazon sales analysis covering product, sales, and customer insights.

analysis jupyter-notebook mysql numpy panda ppt

Last synced: 07 Jan 2025

https://github.com/steventete/integral-app

IntegralApp is a Python-based GUI application designed to simplify the calculation of definite integrals using numerical methods.

desktop-app numerical-methods numpy pyqt5 python

Last synced: 07 Dec 2024

https://github.com/mirgis/sassy-sandbox

A diverse code collection encompassing Python, JavaScript, Julia, and others, providing a wealth of examples, experiments, and snippets.

android aws bokeh ipynb ipywidgets javascript julia kotlin matplotlib numpy playground python3 r sandbox scipy

Last synced: 16 Nov 2024

https://github.com/simran2911/flight-price-pridiction

This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.

accuracy-score catboostregressor machine-learning matplotlib numpy pandas r2-score random-forest-regression seaborn xgboost-regression

Last synced: 09 Jan 2025

https://github.com/m-rishab/credbet

A loan prediction web app which tells You that you are eligible for loan or not!

decision-tree-classifier matplotlib numpy pandas python scikit-learn

Last synced: 21 Nov 2024

https://github.com/m-rishab/housing-price-prediction

The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.

gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn

Last synced: 21 Nov 2024

https://github.com/nemeslaszlo/titanic-logistic-regression

This notebook covers a simple analysis with logistic regression on the popular titanic dataset.

cufflinks jupyter-notebook logistic-regression matplotlib numpy pandas plotly seaborn sklearn

Last synced: 01 Dec 2024

https://github.com/nemeslaszlo/sale-price-of-bulldozers

The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)

matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn

Last synced: 01 Dec 2024

https://github.com/nemeslaszlo/loan-data-decision-tree-and-random-forest

This repository covers a "Lending Club" analysis with decision tree and random forest with data visualizations and exploration.

decesion-trees matplotlib numpy pandas random-forest seaborn sklearn

Last synced: 01 Dec 2024

https://github.com/nemeslaszlo/lending-club-analysis

Lending Club analysis, with a model that can predict whether or nor a borrower will pay back their loan.

binary-classification classification data-visualization keras matplotlib numpy pandas seaborn tensorflow

Last synced: 01 Dec 2024

https://github.com/nemeslaszlo/heart-disease

Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.

classification knearest-neighbor-classifier logistic-regression mathplotlib numpy pandas randomforest-classification scikit-learn seaborn

Last synced: 01 Dec 2024

https://github.com/nemeslaszlo/financial-crisis-effects-on-some-stocks

Focusing on bank stocks to see how they progressed throughout the 2008-09 financial crisis all the way to early 2016.

cufflinks jupyter-notebook matplotlib numpy pandas pandas-datareader plotly seaborn

Last synced: 01 Dec 2024

https://github.com/nemeslaszlo/dog_breed_identification

Dog breed identification model to identify and label 120 different dog breeds.

matplotlib numpy pandas tensorflow tensorflow-hub

Last synced: 01 Dec 2024

https://github.com/nemeslaszlo/emergency-911-calls

Covers emergency (911) Calls: Fire, Traffic, EMS for Montgomery County, PA analysis with visualizations.

jupyter-notebook matplotlib numpy pandas seaborn

Last synced: 01 Dec 2024

https://github.com/shaadclt/data-preprocessing-pipeline

This project contains a data preprocessing pipeline implemented in Python using the pandas and numpy libraries. The pipeline handles missing values, outliers, and normalizes numeric features in a dataset.

numpy pandas scikit-learn

Last synced: 07 Dec 2024

https://github.com/robocorp/example-x-ray-image-processing

X-ray Image Viewer (NumPy, imageio, Matplotlib, SciPy)

data-science numpy python robotframework xray-images

Last synced: 09 Jan 2025

https://github.com/aiboy996/npnn

NumPy Neural Network framework

autograd machine-learning neural-network numpy

Last synced: 19 Nov 2024

https://github.com/ryantusi/ai_ml_fundamentals

Welcome to my GitHub repository showcasing projects completed during the AI/ML Foundation course from Codecademy. This repository contains a collection of projects that demonstrate my skills and knowledge in the field of artificial intelligence and machine learning.

artificial-intelligence data-science data-visualization exploratory-data-analysis foundation machine-learning numpy pandas python

Last synced: 19 Nov 2024

https://github.com/spamfromaditya/drugs-consumption-prediction-model-eda-bagging-classifier

Drug consumption prediction models are like crystal balls for public health. By analyzing vast amounts of data, these models can identify individuals or communities at higher risk of drug use. They consider factors like demographics, social media activity, prescription history, and even economic indicators.

bagging-classifier machine-learning matplotlib numpy python scikit-learn

Last synced: 31 Dec 2024

https://github.com/huichuanli/play-with-linear-algebra

use python3 and Numpy to realize my personal linear Algebra library

numpy python3 scipy

Last synced: 04 Jan 2025

https://github.com/dudynets/numerical-methods-labs-tkinter

Labs for Numerical Methods course at Ivan Franko Lviv National University.

interpolation labs linear-algebra matplotlib numerical-methods numpy python tkinter university

Last synced: 21 Nov 2024

https://github.com/dudynets/numerical-methods-labs

Labs for Numerical Methods course at Ivan Franko Lviv National University.

angular docker fastapi interpolation labs linear-algebra material-ui matplotlib ngxs numpy python typescript university

Last synced: 21 Nov 2024

NumPy Awesome Lists
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