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.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/gourab-sinha/instabot
This project is all about web scraping using Selenium, BeatifulSoup and Python Packages.
beautifulsoup matplotlib numpy pandas python3 selenium-python
Last synced: 06 Apr 2026
https://github.com/gokulgowthams/smart-premium
An Interactive Premium Amount Detection for user which accurately predicts the required premium amount for a default loan by using series of questions that satisfies the criteria in Streamlit Application
data-preprocessing feature-engineering git github mlflow model-deployment numpy pandas python scikit-learn streamlit xgboost
Last synced: 11 Apr 2026
https://github.com/elhariri78/case-study-a-better-smoker-detector
Case Study-A better Smoker Detector
data dataframe evaluation kaggle matplotlib-pyplot numpy pandas pandas-dataframe pandas-python python3 seaborn sklearn
Last synced: 07 Apr 2026
https://github.com/anas436/data-visualization-with-python
jupyterlab matplotlib matplotlib-pyplot numpy pandas python3
Last synced: 09 Sep 2025
https://github.com/vinicius999/eda-basketball-streamlit
Simple web application for viewing, filtering and analyzing Basketball data using Stremlit.
numpy pandas python streamlit webapp webscraping
Last synced: 07 Apr 2026
https://github.com/borchehq/incstatspy
NumPy based Python library for online calculation of moments .
central-moments mean numpy numpy-arrays numpy-library online-algorithms rolling-statistics running-statistics statistics variance
Last synced: 01 May 2026
https://github.com/SerratoTech/Python3-for-Finance
Investment fundamentals & data analytics exercises
anaconda conda data-analytics finance ipynb jupyter-notebook numpy pandas python python3 python35
Last synced: 10 Sep 2025
https://github.com/odnil/flowmodel
FlowModel is a lightweight and extensible machine learning framework designed for beginners to easily experiment with AI development through a modular plugin architecture.
ai ai-model ai-models diffusion flow-model flowmodel framework inverse-problems machine-learning numpy plugin-architecture python torch torchvision
Last synced: 20 Mar 2025
https://github.com/lbirkert/digit-recognition
[from-scratch] feed forward neural network that can recognize handwritten digets
feedforward-neural-network machine-learning numpy python
Last synced: 19 May 2026
https://github.com/kientech/diabetes-prediction-with-machine-learning
The Diabetes Prediction with Machine Learning project aims to predict the likelihood of an individual developing diabetes based on various health parameters and demographic information.
fastapi machine machine-leaning matplotlib mongodb numpy pandas python reactjs seaborn
Last synced: 20 Jun 2025
https://github.com/ahasannn/real-time-expression-detector
A Real Time Expression Detector using Python and Machine Learning
csv expression-detection-from-cam gradient-boosting logistic-regression machine-learning-algorithms mediapipe numpy opencv pandas python random-forest ridge-classifier scikit-learn
Last synced: 07 Apr 2026
https://github.com/Asit-14/Python-Programming
This repository contains all the programs and resources we will use to learn Python programming. It also includes various modules, Python libraries, and several project examples to enhance our learning experience.
matplotlib modules numpy pandas python tkinter
Last synced: 29 Oct 2025
https://github.com/ioangatop/machinelearning
Implementation and analysis of core Machine Learning Algorithms from scratch.
bayesian baysian-inference classification expectation-maximization gaussian-processes ica independent-component-analysis jupyter-notebook logistic-regression machine-learning multiclass-logistic-regression neural-network numpy polynomial-regression python3 regression support-vector-machines svm-classifier vae vae-pytorch
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https://github.com/drcbeatz/aynm-data
Python scripts for data cleaning and processing for AYNM (Pandas/NumPy/Selenium/AWS Textract)
automation aws-textract csv data-analysis data-cleaning ipynb numpy ocr pandas python reverb selenium shopify webscraping xml
Last synced: 07 Mar 2026
https://github.com/yanboishere/Trade.with-SuperTrend.parameter
OKX API to confirm the process of appearance and disappearance of upper or lower limit lines for the super trend parameters in crypto trading pairs in TraderView, and perform multiple buying and selling transactions based on this parameter index.|对于crypto交易对中 TraderView中的超级趋势参数 出现以及消失上限线或下限线前后过程进行确认 从而根据该参数指标的出现 进行多次合约做多&做空 开仓买卖 (使用OKX api)
bitcoin blockchain bot btc crypto cryptocurrency cryptography numpy okx okx-api okx-sdk okx-v5 python talib trade trade-bot tradebot
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https://github.com/msadeqsirjani/cinemetrics
This project focuses on analyzing the Netflix dataset to gain insights into the movies and TV shows available on Netflix.
decision-trees jupyter matplot netflix nlp nltk numpy pandas plotty python scikitlearn-machine-learning seaborn sklearn svm
Last synced: 06 Apr 2026
https://github.com/apoorva-info/cognitive-load-using-blink-rates
Analyzing blink rates and task performance to measure cognitive load during digital span tasks using a custom Python tool.
matplotlib numpy pandas python
Last synced: 08 Apr 2026
https://github.com/mahnoorsheikh16/credit-card-default-prediction
This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
encoding hiplot imblearn json knn-imputer logistic-regression matplotlib numpy pandas pca-analysis plotly scipy seaborn sklearn smote streamlit support-vector-machines timeseries-forecasting visualization xgboost-classifier
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https://github.com/rafinhadufluxo/calculonumerico
Trabalhos de Cálculo Numérico UFFS 📐📊
calculate-numbers exercices matematica mathematical-modelling matplotlib-figures numpy python3 student
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https://github.com/haloapping/ml-workflow
Template alur kerja machine learning.
mahine-learning numpy pandas python3 scikit-learn
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https://github.com/karan-malik/fakenewsdetection
Using Machine Learning and NLP to segregate the unreliable and reliable news articles
artificial-intelligence fake-news fakenewsdetection machine-learning machine-learning-algorithms natural-language-processing news nlp nlp-machine-learning numpy python python3 scikit-learn scikitlearn-machine-learning
Last synced: 04 May 2026
https://github.com/kshitijshrivastava1903/data-science-and-machine-learning-projects
Used supervised and unsupervised machine learning algorithms for classification and regression tasks on real datasets
decision-trees kmeans-clustering knearest-neighbor-algorithm linear-regression machine-learning-algorithms matplotlib-pyplot numpy pandas random-forest-classifier seaborn support-vector-machines
Last synced: 09 Apr 2026
https://github.com/chaitanya1436/student_performance_analysis
A project focused on analyzing college student performance using data on department, assessment scores, and performance labels. Implemented in Google Colab, the analysis includes data preprocessing, feature scaling, and exploratory data analysis to uncover insights and prepare the data for further analysis or modeling.
ata-preprocessing data-preparation exploratory-data-analysis feature-scaling google-colab numpy pandas scikit-learn
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https://github.com/antonvagabond/maze
Operation and functionality of two mazes.
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https://github.com/raduldev/gromacs
Molecular Dynamics Simulation using GROMACS in Jupyter notebook
bash gromacs matplotlib molecular-dynamics-simulation numpy pandas python3 shell
Last synced: 09 Apr 2026
https://github.com/aneeshmurali-n/ml_bangalore_house_price_analysis
This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.
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https://github.com/officiallyxenos/30-days-of-data-analysis-projects-
30-day challenge to master data analysis by completing daily projects. Each project covers a key concept, from data cleaning to visualization, and builds a strong portfolio of real-world applications.
matplotlib numpy pandas python-3 seaborn statistics
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https://github.com/Udacity-MachineLearning-Internship/finding_donors
First stage project at Udacity on the 'Intro to Machine Learning with TensorFlow' program using sckit-learn in python
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https://github.com/carlolepelaars/q4p
Quantum Computing for (Python) Programmers
numpy python quantum quantum-computing
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https://github.com/hamolicious/inversekinematics
Inverse Kinematics implementation in Python and PyGame
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https://github.com/vmariiechko/python-image-processing
Raster graphics editor
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https://github.com/nirmalyabag20/book-recommended-system
A system built using content-based and collaborative filtering algorithms to suggest books. It displays the top 50 books and provides recommendations based on a given book name. Includes functionality to view detailed information about a recommended book, along with related books.
flask html jupyter-notebook machine-learning matplotlib numpy pandas pycharm python seaborn
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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
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https://github.com/fractalyze/zk_dtypes
A NumPy dtype extension used in Zero Knowlege libraries
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https://github.com/ksasi/boston_housing
Predicting Boston Housing Prices - Udacity
machine-learning numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/its-maneeshk/fake-product-detection-system
The Fake Product Review Detection System is a machine learning-powered web application designed to analyze and detect fake reviews on eCommerce platforms. It helps users identify whether a product has genuine or manipulated reviews by leveraging Natural Language Processing (NLP) and supervised learning models.
api beautifulsoup4 fetch-api flask html-css-javascript joblib nlp-machine-learning numpy pandas python reactjs requests scikit-learn
Last synced: 05 Mar 2025
https://github.com/abhilash1910/deepgenerator
Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy
adagrad generativemodeling nlp numpy optimizer rnn seq2seq-model transduction vanilla-rnn
Last synced: 19 May 2026
https://github.com/jai0212/cash-app-bias-busters
A platform developed with Cash App to help ML engineers detect and visualize biases in models using Fairlearn. Features include a collaborative and interactive dashboard (React, Chart.js), a Flask backend, and a secure MySQL database for data storage and analysis.
bias-detection chartjs fairlearn flask machine-learning mysql numpy pandas pytest python react scikit-learn scipy
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https://github.com/sarah-ribeiro/curso-pandas-alura
A comprehensive project comprising numerous exercises developed within an Alura course focused on Pandas.
jupyter-notebook matplotlib numpy pandas python
Last synced: 01 Aug 2025
https://github.com/upul/chocolate-quality-analysis
This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.
machine-learning numpy pandas predictive-analytics scikit-learn
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https://github.com/blakeziegler/nfl-ai
Sports AI featuring Deep Learning Neural Networks from Scratch with Momentum Optimization
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Last synced: 25 Feb 2026
https://github.com/kentlouisetonino/sw-statistics-calculator
A CLI program that compute mean, median, and percentiles.
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https://github.com/shoaib-programmer/pychemicals
Python library designed for chemical calculations like pH, and titrations. It also includes other features like interactive graph plotting.
chemicals matplotlib numpy pyplot python3 titration titration-curve
Last synced: 19 Mar 2025
https://github.com/dmarks84/ind_project_california-housing-data--kaggle
Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.
cross-validation data-modeling data-reporting data-visualization eda folium grid-search matplotlib model-evaluation numpy pandas pca python seaborn sklearn statistics supervised-ml unsupervised-ml
Last synced: 08 Apr 2026
https://github.com/athul64/exploratory-data-analysis
To preprocess and analyze the given employee dataset, present the findings graphically, and derive meaningful insights to help better understand the company’s workforce.
colab-notebook data-analysis data-visualization matplotlib numpy pandas python seaborn statistical-analysis
Last synced: 25 Feb 2026
https://github.com/gourab-sinha/machine_learning
This repository consists of Machine Learning Concepts and Projects.
classification machine-learning neural-network numpy pandas sklearn-library
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https://github.com/rakibhhridoy/imageprocessing
Large amount of image processing is quite messy and time consuming,thus the working steps should be fast as well as accurate also. I've made sequential functions that is needed for processing data in TensorFlow and python. These functions made my work fast as it needed in commercial purposes.
augmentation deep-learning functional-programming image-manipulation image-processing keras machine-learning numpy python sequential-patterns tensorflow
Last synced: 08 Apr 2026
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: 09 Apr 2026
https://github.com/msadeqsirjani/machine_learning_hands_on
A comprehensive machine learning repository containing different concepts, algorithms and techniques.
cnn computer-vision data-analysis data-science data-visualization deep-learning keras machine-learning matplotlib neural-network nlp numpy open-source pandas python rnn scikit-learn seaborn tensorflow
Last synced: 06 Apr 2026
https://github.com/geetisha/advanced-eda-and-text-mining
Advanced EDA and Text Mining
jupyter-notebook matplotlib nltk numpy pandas python spacy textblob wordcloud
Last synced: 08 Apr 2026
https://github.com/bessarodrigo/dataviz_sales_retail
Este projeto apresenta um mosaico com o Matplotlib com um retrato do desempenho das vendas de uma empresa de varejo.
matplotlib numpy pandas python python3
Last synced: 09 Apr 2026
https://github.com/docsallover/real-time-object-detection
Real-Time Object Detection with Single Shot MultiBox Detector (SSD)
data-science data-science-projects detection machine-learning numpy opencv python single-shot-detection single-shot-multibox-detector tensorflow
Last synced: 09 Apr 2026
https://github.com/kientech/calories-burnt-prediction-with-machine-learning
The Calories Burnt Prediction with Machine Learning project aims to predict the number of calories burned during physical activities based on various factors such as duration, activity type, age, weight, and more.
fastapi heroku machine-learning matplotlib-pyplot modeling numpy pandas python reactjs tailwindcss
Last synced: 02 Aug 2025
https://github.com/narenkhatwani/arkouda-projects
This repository contains the source codes of the projects done using Arkouda (a software package that allows a user to interactively issue massive parallel computations on distributed data using functions and syntax that mimic NumPy, the underlying computational library used in most Python data science workflows.)
arkouda data-analysis data-analytics data-science high-performance high-performance-computing highperformancecomputing numpy pandas parallel-computing parallel-processing parallelization python
Last synced: 17 Apr 2026
https://github.com/jonad/dog_detection_app
Identify dog breeds using Convolutional Neural Network.
convolutional-neural-networks keras neural-network numpy opencv-python pandas resnet-50 scikitlearn-machine-learning transfer-learning vgg19
Last synced: 03 May 2026
https://github.com/achalesh27022003/python-assignments-iwt
This repository is objected to have all the assignments and project related to IWT (Semester - 3).
cosinewave frame grid image imagetk labels matplotlib-pyplot numpy numpy-arrays numpy-library photoimage pil python3 sinewave spyder tkinter tkinter-gui window
Last synced: 10 Apr 2026
https://github.com/mr-chang95/ibm_recommendation_system
Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.
experimental-design ibm-watson machine-learning numpy pandas recommendation-engine recommendation-system udacity-data-science-nanodegree
Last synced: 20 Apr 2026
https://github.com/letiziaia/dsp_2021
Basic Python code snippets for data science students
data-science numpy pandas python
Last synced: 09 May 2026
https://github.com/xaxm007/nn-numpy
A Basic Logistic Regression Neural Network using NumPy and calculus.
critical-indulgence logistic-regression neural-network numpy study
Last synced: 19 May 2026
https://github.com/medyessinkhlif/medclaimml
An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.
healthcare jest-tests mern-stack mongodb nodejs nosql numpy pytorch react scikit-learn tailwindcss
Last synced: 13 May 2025
https://github.com/oleksiilatypov/face_app_edit
DRU style gan project
cnn gan matplotlib-pyplot numpy pytorch-tutorial
Last synced: 19 May 2026
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: 10 Apr 2026
https://github.com/islam-hady9/heart-attack-analysis-prediction-using-ann
Heart Attack Analysis & Prediction using Artificial Neural Network
artificial-neural-networks data-analysis deep-learning eda machine-learning matplotlib numpy pandas python tensorflow
Last synced: 04 Apr 2026
https://github.com/madhuresh2011/amazon-sales-report-analysis-using-python
This project focuses on analyzing Amazon sales data using Python to uncover insights into sales performance, customer behavior, and product trends
charts cleaning-data data-analysis jupyter-notebook matplotlib numpy pandas python seaborn visualization
Last synced: 17 Apr 2026
https://github.com/rasbeetech/loan-calculator
Tkinter framework application
matplotlib numpy python tkinter
Last synced: 20 Mar 2025
https://github.com/g-eoj/cv-tl-keras
Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.
cross-validation keras numpy scikit-learn transfer-learning
Last synced: 10 Apr 2026
https://github.com/kientech/crop-recommendation-with-machine-learning
The Crop Recommendation with Machine Learning project is designed to assist farmers and agricultural professionals in selecting the most suitable crops for their specific environmental conditions.
fastapi machine-learning modeling numpy pandas python reactjs sklean
Last synced: 22 Mar 2025
https://github.com/inoles/resumeinsight
AI-powered resume screening tool
numpy pandas pandas-python pdfminersix python resume resume-screening spacy spacy-nlp
Last synced: 05 May 2026
https://github.com/simranjeet97/datascience_crashcourse
Data Science Crash Course that Explained about Each and Every Process in Data Science.
dash data data-science data-science-crash-course data-structures data-visualization datascience-machinelearning datasciencecoursera datascienceproject instagram matplotlib numpy pandas telegram tutorials youtube
Last synced: 08 Apr 2026
https://github.com/kishlayjeet/zomato-data-exploration
In this project, we will be exploring a dataset containing information on various restaurants and their ratings, location, and other attributes.
data-analysis eda matplotlib numpy pandas zomato-data-exploration
Last synced: 10 Apr 2026
https://github.com/shanmukhsrisaivedullapalli/smsspamclassification
SMSSpamClassification is a machine learning project aimed at accurately classifying SMS messages as either spam or ham (non-spam). It employs natural language processing techniques to extract relevant features from the text data and utilizes various classification algorithms to build a robust spam detection model.
jupyter-notebook numpy pandas pickle python3 sklearn spam-classification spam-detection
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https://github.com/kr1shnasomani/traffisense
A computer vision toolkit for traffic analysis with vehicle detection, speed estimation, segmentation, and number plate recognition.
computer-vision deep-learning neural-network numpy opencv pypi pytorch
Last synced: 12 Apr 2025
https://github.com/datarohit/titanic-survival-data--classification
This is a Titanic Survival Data from Kaggle Competition with Multiple Classification Algorithm testing and Detailed Exploratory Data Analysis.
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Last synced: 10 Apr 2026
https://github.com/mayankmittal29/stockvision
Stock price predictor LSTM Sequential Model with Dropout Regularization by which we can analyse any stock tickers, do its fundamental analysis using fundamental ratios and charts visualisations of 100MA and 200MA and can also predict stock price for next 10 days with its trend. Can also view candle stick charts for stock trading and latest news.
keras lstm-neural-networks matplotlib-pyplot mplfinance numpy pandas python scikit-learn streamlit yfinance-api
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https://github.com/franklingu/ml_foundations
Machine Learning Foundations from University of Washington, rewrite in numpy, pandas, scipy and sklearn
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Last synced: 07 Apr 2026
https://github.com/artikumari28/movie-recommender-system
This project is a content-based movie recommendation system, where movies are recommended based on their similarity in content. The system analyzes various features such as genres, cast, and descriptions to suggest similar movies.
google-colab machine-learning nltk numpy pandas pickle scikit-learn streamlit
Last synced: 06 Apr 2026
https://github.com/priyanshubiswas-tech/customer-churn-analysis-eda-
This project analyzes customer churn in a telecom company using Python, Pandas, SQL, and data visualization. It identifies key factors like contract type, payment method, and tenure to provide insights for improving retention. The skills gained are applicable in customer retention, user behavior analysis, fraud detection, and HR analytics.
data-analysis data-visualization dataset explo exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas-dataframe python seaborn seaborn-python
Last synced: 08 May 2026
https://github.com/codeantik/spam-ham-detector
A machine learning model to detect whether the mails are spam or ham
logistic-regression numpy pandas python sklearn
Last synced: 10 Apr 2026
https://github.com/reusjimenez/python-data-analysis
Casos completos y ejercicios prácticos de análisis de datos. 📊
data-analysis data-visualization jupyter-notebook machine-learning matplotib numpy pandas python sklearn
Last synced: 12 Apr 2026
https://github.com/huichuanli/play-with-linear-algebra
use python3 and Numpy to realize my personal linear Algebra library
Last synced: 07 May 2026
https://github.com/mardavsj/weather-prediction
Weather prediction model which mainly focuses on visualization.
data-analysis data-visualization matplotlib numpy pandas pandas-dataframe
Last synced: 10 Apr 2026
https://github.com/nehalmr/qiksit-fall-fest-hackathon-2024
The Qiskit Hackathon is a unique opportunity for students to dive into the fascinating world of quantum computing. Participants will collaborate in teams to tackle a series of challenging problems that test their creativity, problem-solving skills, and understanding of quantum algorithms. This hackathon aims to inspire innovation in QC.
cpython hackathon ibm ibm-qiskit ibm-quantum-challenge matplotlib numpy python python3 qbits qiskit qiskit-tutorial quantum-algorithms quantum-computing quantumcircuits quantumregister
Last synced: 11 May 2026
https://github.com/stephenhky/npdict
Python Package for Dictionary Wrappers for Numpy Arrays
Last synced: 20 Jan 2026
https://github.com/dhakalnirajan/python-for-research
“Python for Academic Research” is a program launched by NRCC to provide short training in the python programming language. This course will teach students to use python in research and implement such learnings in their practical classes. Mr. Kshitiz Regmi will be teaching the course.
data-science numpy pandas plotly python python3
Last synced: 21 Mar 2025
https://github.com/csirmaz/hypergeometry
Geometric tools for an arbitrary number of dimensions
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Last synced: 17 May 2026
https://github.com/geetisha/web-scraping-and-sentiment-analysis
Web Scraping and Sentiment Analysis
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Last synced: 08 Apr 2026
https://github.com/walkerdustin/vergleich-von-messmethoden-fuer-punktwolken
Bei der Vermessung eines physischen Raumes ist das Ergebnis eine Punktwolke. Diese Punktwolke beschreibt dann ausgewählte Punkte im Raum, zum Beispiel auf den Wänden und der Decke. Wenn diese Punkte in zwei seperaten Messungen gemessen werden, vielleicht sogar von unterschiedlichen Geräten, soll hinterher herausgefunden werden wie genau diese Punktwolken übereinstimmen. Dafür gibt es zwei grundsätzlich verschiedene Methoden. Diese sollen hier verglichen werden.
3d-models accuracy-metrics data-analysis data-visualization kaggle measure-distance numpy point-cloud pointcloudprocessing punkte python science-research simulation statistics
Last synced: 11 Apr 2026
https://github.com/chandansoren/credit-card-fraud-detection
Credit card fraud detection through logistic regression.
logistic-regression machine-learning numpy pandas python sklearn
Last synced: 02 Apr 2026
https://github.com/pavankethavath/dominos---predictive-purchase-order-system
This advanced forecasting tool leverages Prophet, ARIMA, SARIMA, and LSTM models to predict daily sales for 32 pizzas and 64 ingredients. With Prophet achieving the lowest MAPE, it ensures accurate demand forecasts, optimized inventory, and efficient purchase planning, reducing waste, preventing stockouts, and enhancing supply chain efficiency.
arima deep-learning eda exploratory-data-analysis forecasting lstm machine-learning mape matplotlib minmaxscaling numpy pandas prediction python sarimax seaborn seasonality tensorflow time-series
Last synced: 08 Apr 2026
https://github.com/dyegopimentel/sentiment-analysis-and-wordclouds-in-python
We developed a sentiment analysis algorithm and at the end we bring a wordcloud to give an overview of what is being said about the topic we are analyzing.
matplotlib numpy pandas python sentiment-analysis tweepy wordcloud
Last synced: 09 May 2026
https://github.com/khaledkamr/image-classification
A deep learning project using CNNs to classify fruits and vegetables images, built with TensorFlow and Keras, showcasing image recognition and model training.
cnn-classification jupyter-notebook keras numpy python streamlit tensorflow
Last synced: 07 Apr 2026
https://github.com/ewertondrigues02/dados-do-covid-19
Análise exploratória dos dados do COVID-19 / de 22 de Janeiro de 2020 a 27 de Julho de 2020 em 188 países análise feita com as ferramentas como: jupyter Notebook, Google Colab, Excel, Power BI e bibliotecas: Pandas, Matplotlib, Numpy.
analise-exploratoria colab covid-19 covid19 dataframe folium folium-maps folium-python google-colab jupyter jupyter-notebook numpy pandas python3
Last synced: 02 May 2026
https://github.com/yash-rewalia/stock-closing-price-prediction-using-regression
The ultimate business objective is to leverage the regression model to provide accurate predictions of the closing price of AMRN stock, enabling stakeholders to make well-informed investment decisions, manage risks effectively, optimize portfolios, Early warning systems to alert any fraud cases and align investment strategies with financial goals.
datapreprocessing eda hypothesis-testing machine-learning numpy pandas python random-forest regression regression-analysis statistics
Last synced: 12 Apr 2026