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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/rggh/satchad
findthatbit.com + findthatbit.info
bitcoin docker fastapi findthatbit huggingface-transformers nginx numpy qdrant qdrant-vector-database sentence-transformers youtube
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https://github.com/amiriiw/speech_recognition
Welcome to the Speech Recognition Project! This project is designed to train a model for recognizing voice commands and using it to control a simple Snake game in real-time. The project involves training a TensorFlow model for speech recognition and integrating it with a Pygame-based game.
key-word-recognition numpy pygame queue random sounddevice speech-recognition tensorflow threading
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https://github.com/quocanh189/sentiment_analysis_eventhub
This project implements a Sentiment Analysis model using a neural network architecture built with Keras. The model classifies text into binary sentiment categories (positive or negative) by leveraging word embeddings and Gated Recurrent Units (GRU) layers. Additionally, the project includes a simple Flask web application to provide a real-time sent
docker flask nlp-machine-learning numpy pandas sentiment-analysis tensorflow
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https://github.com/RedInfinityPro/Python-Finance
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datetime matplotlib numpy pandas random sklearn yfinance
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aws aws-lambda docker docker-image numpy python python3
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data-analysis data-analytics matplotlib mysql mysql-database numpy pandas python sql
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machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn sklearn sklearn-library streamlit
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data-analysis data-science knn-classification machine-learning matplotlib-pyplot numpy pandas-library seaborn
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algorithmic-trading aws backtesting broker-api keras machine-learning matplotlib numpy pandas portfolio-optimisation python real-time-data-integration risk-management technical-indicators tensorflow
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cv2 mediapipe mediapipe-hands numpy opencv pyautogui python
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decision-trees knn-classification machine-learning matplotlib nive-bayes numpy pandas python random-forest seaborn sklearn svm
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42school ai ai-algorithm ft-linear-regression linear-regression machine-learning matplotlib numpy pandas prediction-algorithm python
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data-analysis exploratory-data-analysis jupyter-notebook kmeans matplotlib numpy pandas prophet-facebook python scikit-learn seaborn
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cython numpy pycharm python scientific-computing training-materials
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artificial-intelligence image-classification machine-learning model-training-and-evaluation neural-networks numpy pandas python tensorflow
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https://github.com/lexxai/goit_python_ds_hw_02
Модуль 2. Знайомство з Pandas, Аналіз файлів, Аналіз датасет c Kaggle.com. Python Data Science. Homework.
datascience google-colab homework jupyter-nootebook matplotlib numpy numpy-arrays pandas python seaborn seaborn-plots
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data-analysis data-analytics matplotlib numpy pandas python
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I have completed two tasks in this repository , task 3 and task 4
matplotlib numpy pandas python scipy
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matplotlib numpy psutil pygetwindow tkinter
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matplotlib numpy os pygame pyspice random sys
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advanced-excel data-analysis data-cleaning data-collection data-transformation data-visualization matplotlib numpy pandas powerbi python seaborn sql tableau
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database dlib face-recognition numpy opencv python
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https://github.com/yalai92/cava_imp_exp_analysis
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clustering colab-notebook data-science data-visualization machine-learning matplotlib numpy pandas preprocessing python sklearn tableau-public
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ab-testing data data-analysis datalense matplotlib numpy pandas plotly portfolio postgresql python scipy seaborn sql statistical-analysis
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deep-learning freecodecamp-project ipynb machine-learning matplotlib numpy tensorflow
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cv2 machine-learning mediapipe numpy pynput
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dataframe dataframes list numpy pandas python series tuple
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https://github.com/sebastianofazzino/ibm-data-science-professional-certificate
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data-analysis data-mining data-science data-structures data-visualization database machine-learning matplotlib numpy pandas python regression seaborn sql
Last synced: 09 Apr 2026
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The primary objective s to develop an accurate and efficient classification model capable of identifying pneumonia cases in patients based on chest X-ray images. Pneumonia is a prevalent and potentially life-threatening respiratory infection. Early detection plays a critical role in timely intervention and effective treatment.
binary-accuracy dropout flatten keras loadimg matplotlib maxpooling2d numpy python regularizers roc-curve seaborn sequential-models tensorflow vgg16
Last synced: 09 Apr 2026
https://github.com/harmanveer-2546/sentiment-analysis-of-amazon-fine-food
For this project, machine learning algorithms are used on amazon fine food reviews dataset to analyze if the given review is a positive review or a negative review.
mathplotlib nlp-machine-learning ntlk numpy pandas pipeline python roberta-model seaborn transformer vader-sentiment-analysis
Last synced: 09 Apr 2026
https://github.com/adamouization/superconductors-critical-temperature-predictions-regression
:chart_with_upwards_trend: Machine Learning & Data Visualisation/Processing techniques for predicting the critical temperatures required for different superconductors to conduct electrical current with no resistance.
jupyter jupyter-lab jupyter-notebook machine-learning matplotlib matplotlib-pyplot numpy pandas prediction python python-3 regression regression-algorithms scikit-learn scikitlearn-machine-learning scipy
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https://github.com/debjyotisaha/data-analytics-projects-phase-2
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data-analysis data-preprocessing eda matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/mchenryspagg/wrangle-and-analyze-data
This project which is known as 'wrangle and analyze data' involves the wrangling of WeRateDogs twitter archive data from the period of 2015 to 2017
api data dataanalysis datacollection datawrangling datetime json numpy os pandas pil python requests tweepy-api visualization
Last synced: 09 Apr 2026
https://github.com/lmizner/codecademy_life_expectancy
Calculate quartiles, quantiles, and the inter-quartile range (IQR) for a variable
histogram jupyter-notebook matplotlib-pyplot numpy pandas python quantiles quartiles
Last synced: 09 Apr 2026
https://github.com/lmizner/codecademy_us_census
Demonstrate data cleaning skills
for-loops glob histogram jupyter-notebook lists matplotlib-pyplot numpy pandas python scatterplot
Last synced: 09 Apr 2026
https://github.com/rafali25/perceptron-algorithm
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machine-learning numpy perceptron-neural-networks pycharm-ide python
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data-science numpy pandas python
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https://github.com/anusthan12/hrc-training-summer
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Last synced: 09 Apr 2026
https://github.com/samanthalang/samanthalang_portfolio
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bigquery excel figma mysql notebook numpy pandas postgresql powerbi powerquery python sql sqlite wordpress
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data-science matplot numpy python python3
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Exploration utilities for Wildlife Insights projects.
biodiversity camera-trap images matplotlib numpy pandas python seaborn trail-cameras wildlife-insights
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This project is solution to data science problem based on regression model to predict the price of pre owned cars. Programming language used is Python.
data-science machine-learning numpy pandas price-prediction python seaborn sklearn streamlit
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classification databases eda nlp numpy pandas python scikit seaborn sentiment-analysis statistics supervised-ml text-mining unsupervised-ml visualization
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cnn cv keras keras-tensorflow neural-networks numpy vgg16
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airbnb-data airbnb-pricing-prediction convolutional-neural-networks deep-learning deep-learning-algorithms deep-neural-networks jupyter-notebook keras keras-neural-networks keras-tensorflow matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/ayan6943/employee-attrition-prediction-with-machine-learning
Employee Attrition Prediction with Machine Learning | Analyzing HR data to predict employee turnover using Random Forest. Includes EDA, feature engineering, model training, and evaluation. Achieved 90% accuracy.
attrition employee machine-learning matplotlib numpy pandas python randomforestclassifier scikit-learn seaborn smote
Last synced: 09 Apr 2026
https://github.com/abdulhadi806/muffin-or-cupcake-model
𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 model that is capable of checking whether the model I inputted is a mufin or cupcake, I am in a learning face today is 1/25/2024 let's see how far I can go in this field. Wish me luck:)
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Last synced: 09 Apr 2026
https://github.com/yashpandey1405/numpy-assignment-solution
This repository contains solutions to all questions from the NumPy Assignment, organized for clarity and easy navigation. 🚀
Last synced: 29 Apr 2026
https://github.com/patilsukanya/assignment-04.-simple-linear-regression-q1
Used libraries and functions as follows:
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Last synced: 09 Apr 2026
https://github.com/ronakbediya310/campus-placement-project
This Flask web application leverages machine learning models to predict campus placements based on user-provided input. It provides an intuitive and user-friendly interface for users to input relevant features, such as academic performance, gender, work experience, and more. The application then processes these inputs through a trained algorithms
flask machine-learning numpy pandas python3 sklearn webapp
Last synced: 10 Apr 2026
https://github.com/hrolive/deep-learning-nanodegree
As one of the top 3% students from the first phase, "PyTorch Scholarship Challenge" by Facebook AI, I have earned a full scholarship to Udacity’s Deep Learning Nanodegree program
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The web app uses logistic regression on a dataset of 20,000 news articles, achieving 96% accuracy. It employs NLTK for text preprocessing and TF-IDF for feature extraction.
huggingface ml news nltk-python numpy pandas-python streamlit-webapp transformers-models
Last synced: 23 Feb 2025
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Python application that processes video files to extract frames and analyze their quality using blur detection and clustering techniques.
Last synced: 11 Apr 2026
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Neural Network Implementation in NumPy
backpropagation classification educational feedforward-neural-network from-scratch neural-network numpy
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https://github.com/ananupam/eda-stock_market
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jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 06 May 2026
https://github.com/vipinchaudhary31122002/valuevanguard
ValueVanguard is a machine learning project for accurate house price predictions. Using advanced algorithms and real-world data, it empowers users to analyze and forecast property values efficiently. Perfect for developers, data enthusiasts, and real estate professionals. 🏠📈
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https://github.com/ramanpreet6262/ml_internity
Repository of code implimentations of various machine learning algorithms in my Internity Internship.
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https://github.com/ravi0529/e-commerce-annual-spend-model
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https://github.com/patilsukanya/p02.-normal-distribution-of-stocks
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https://github.com/sauravokos/deep-learning
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Last synced: 02 Apr 2026
https://github.com/azaz9026/house_price_prediction_with_machine_learning
🏡 House Price Prediction with Machine Learning Project 🤖💰 Seeking to revolutionize the real estate industry with cutting-edge technology? Explore my latest project, where I leveraged machine learning algorithms to predict house prices accurately.
linear-regression machine-learning-algorithms metaploit numpy pandas pickle python seaborn visualization
Last synced: 12 Apr 2026
https://github.com/paulomppatricio/projeto_challenge_telecomx-br_parte-2
Projeto Challenge TelecomX-BR_Parte-2 - Formação Data Science do programa ONE - Oracle Next Education em parceria com a Alura.
data-science imblearn joblib machine-learning matplotlib modelos-preditivos numpy pandas python scipy seaborn sklearn statsmodels xgboost
Last synced: 12 Apr 2026
https://github.com/mattsebastianh/Election-Results
Analyze Data with Python
binomial-distribution numpy python statistics
Last synced: 18 Jun 2026
https://github.com/hadson0/dip-candy-classification
Candy classification project using digital image processing. Includes dataset creation, model development, and evaluation tools with TensorFlow, OpenCV, and Albumentations. Complete setup and instructions provided for building and training the model.
albumentations bounding-boxes cnn computer-vision cvat image-classification image-processing keras machine-learning matplotlib numpy opencv python seaborn sklearn tensorflow
Last synced: 29 Sep 2025
https://github.com/kasraskari/learn-python-codes
A beginner-friendly repository to learn Python programming through structured examples and scripts, covering topics from basics to advanced concepts.
jupyter-notebook matplotlib matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python-learning python-tutorial python-tutorials scipy scipy-tutorial tutorials
Last synced: 09 Apr 2026