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/isratafrin826/neural-networks-ann_using_mnist-dataset
matplotlib-pyplot numpy seaborn tensorflow
Last synced: 16 Apr 2026
https://github.com/karthikarajagopal44/numpy-beginner-to-advanced
This repository is designed to help you master NumPy, the fundamental package for scientific computing with Python. Whether you are just getting started or looking to refine your skills with advanced techniques, this repo covers a comprehensive range of topics and functionalities. It covers the range of topics from beginner to advance.
data-science numpy numpy-library numpy-tutorial python
Last synced: 16 Apr 2026
https://github.com/shahsuvarli/election-voters-data-analysis-pandas
Educational project analyzing Azerbaijan voter demographics with pandas, focusing on data cleaning, grouping, and visualization.
cleaning data grouping matplotlib numpy pandas python visualization
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https://github.com/alphacrypto246/stock-price-movement-prediction
A project leveraging Polynomial Regression to predict stock price movements based on historical data. Includes data preprocessing, feature engineering, visualization, and model evaluation to provide insights for informed trading decisions.
machine-learning numpy pandas polynomial-regression scikit-learn yfinance
Last synced: 13 Apr 2026
https://github.com/harmanveer-2546/music-genre-classification
Classifying the genre of a music using deep neural networks.
cnn deep-neural-networks keras labelencoder librosa matplotlib music numpy pandas pickle python scipy seaborn sequential-models tensorflow
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https://github.com/walkerdustin/python-linear-regression
simple linear regression in python based on coursera andrew ng course
ai linear-regression machine-learning ml numpy python
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https://github.com/ywatanabe1989/scitex-io
Universal scientific data I/O with plugin registry — save/load 30+ formats with one API. Part of SciTeX.
cli csv data-io hdf5 mcp numpy openscience pandas plugin-registry python research scientific-computing scitex
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https://github.com/dineshdhamodharan24/industrial-copper-modeling
It seems like you have a project that involves modeling industrial copper data using Python and several libraries such as pandas, numpy, and scikit-learn. This is a common and practical approach, as these libraries are widely used for data manipulation, analysis, and machine learning tasks.
bussiness-solution numpy pandas pickle pickle-file seaborn sklearn-library streamlit
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https://github.com/bharatsharma07/ipl-analysis
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data-visualization ipl-data-analysis numpy pandas python
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https://github.com/shakhthi/mlproject
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jupyter-notebook matplotlib-pyplot numpy pandas python3 seaborn sklearn
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https://github.com/bachboy0/montecarlo
Python-based Monte Carlo simulations for statistical analysis and modeling.
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https://github.com/alphan26/humidityregressor
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matplotlib numpy pandas python pytorch
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https://github.com/pedasoft-consult/house-price-prediction
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flask joblib matplotlib numpy pandas r2 random-forest regression seaborn sklearn
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These are my assignments for Data Analysis : Zero to Pandas course by Jovian.ai
data-analysis data-analytics numpy pandas python
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Predicting Titanic Passenger Survival Using Machine Learning
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https://github.com/harmonicode/signal_equalizer
Signal Equalizer is a Python-based application designed to process and analyze various types of signal data, including audio and ECG signals. It provides functionalities for reading, processing, visualizing, and enhancing signal data using techniques such as Wiener filtering.
audio-processing numpy pyqt5 scipy signal-processing wiener-filter
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https://github.com/maia-bastos/estimativas
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numpy pandas python3 scipy-stats
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https://github.com/separatrixxx/nm_labs_6_7_sem
👓 Laboratory work for 6 and 7 semesters of MAI on numerical methods
numerical-methods numpy python
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https://github.com/islamshahil/neuralnetworks
Hello World to Neural Network.
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https://github.com/vgvr0/analisis-de-datos-con-streamlit-numpy-pandas-y-matplotlib
Sistema completo de análisis y visualización de datos cinematográficos que proporciona insights detallados sobre películas, incluyendo análisis financiero, puntuaciones, tendencias temporales y un sistema de recomendación. Desarrollado con Python y Streamlit, ofrece una interfaz interactiva y amigable para explorar datos de películas.
matplotlib numpy pandas plotly plotly-dash recommendation-system streamlit
Last synced: 16 Apr 2026
https://github.com/shwetapardhi/assignment-1-q11--basic-statistics-level-1
Q11) Suppose we want to estimate the average weight of an adult male in Mexico. We draw a random sample of 2,000 men from a population of 3,000,000 men and weigh them. We find that the average person in our sample weighs 200 pounds, and the standard deviation of the sample is 30 pounds. Calculate 94%,98%,96% confidence interval?
confidence-interval normalization numpy pandas python scipy stats
Last synced: 13 Apr 2026
https://github.com/ashwani-199/web-scraping2023
Python Web-Scraping 2023
beautifulsoup4 django-framework numpy pandas python rest-api
Last synced: 07 May 2026
https://github.com/andreashovaldt/simple-neural-network
A simple neural network, created with numpy, based on Stochastic Gradient Descent, used for classifying the MNIST dataset
mnist-classification neural-network numpy stochastic-gradient-descent
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https://github.com/codersales/machine-learning-classification
machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4 | frequent
authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation
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https://github.com/manoj-kumar-c/data_analyst_projects
Live Data Analyst Projects.
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base64 kaleido numpy os pandas plotly postgresql psycopg2 psycopg2-binary time
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The purpose of this work is to analyze data from a supermarket to better understand the types of customers who buy chips and their buying behavior in the area.
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https://github.com/azaz9026/car_price_prediction_model
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Computational Physics written in Python
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Exploratory data analysis on Chicago Crime dataset.
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Here’s a repository description for a project where youA repository dedicated to exploring and experimenting with Python’s main libraries, featuring sample code, documentation, and practical examples for learning and reference.
matplotlib numpy pandas python seaborn
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https://github.com/asuquoaa/cdc_2017_immunization_data_analysis
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https://github.com/ben854719/trade-transfer-workflow-optimizer
This AI portfolio tools securely analyzes asset allocation, sector exposure, and performance. Its graph compares real and predicted close prices, enhanced with sentiment indicators such as “Confident” and “Surprised.” An avatar assistant provides user guidance combining technical accuracy with intuitive explanations.
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This repository features a machine learning model for predicting used car prices using data from CarDekho.com. The project leverages exploratory data analysis and regression techniques to empower sellers and buyers with actionable insights in the Indian used car market.
analytics cleaning-data data linear-regression machine-learning matplotlib numpy pandas python seaborn
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colab-notebook feed-forward-neural-networks neural-network numpy python
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https://github.com/saagnik-mondal/chessengine
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https://github.com/sasanka14/water_quality_predictions
Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀
anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost
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https://github.com/ricky1984a/customer_analytics
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kneed machine-learning matplotlib-pyplot numpy pandas python scipy seaborn sklearn
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https://github.com/williyam-m/movie_booking_app
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django machine-learning numpy orm pandas python sckiit-learn sqlite3
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https://github.com/5hraddha/sda-megaline-the-best-plan
Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.
data-visualization hypothesis-testing matplotlib numpy pandas scipy seaborn statistical-data-analysis
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autopep8 logging numpy pandas pylint pytest scikit-learn
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data data-science data-visualization dataanalysis jupyter-notebook numpy pandas python seaborn
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https://github.com/aadityasikder/neural-network-from-scratch-
This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.
backward-propagation evaluation forward-propagation mnist-dataset neural-network neural-networks-from-scratch numpy training
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A neural network implemented using only NumPy and Pandas for CS3631: Deep Neural Networks
Last synced: 05 May 2026
https://github.com/pointer2alvee/machine-learning-algorithms-scratch
Core Machine Learning concepts , algorithms & maths implemented completely from scratch using Python & numpy only.
machine-learning-algorithms numpy pandas probabilistic-machine-learning python statistical-models
Last synced: 07 May 2026
https://github.com/frolov-andrey2405/prime-numbers-and-polar-coordinate-system
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https://github.com/krishbharadwaj5678/gestureninja
Play Fruit Ninja using just your index finger with real time gesture tracking. No mouse, no keyboard — just your webcam and smooth slicing.
automation computer-vision cvzone finger-tracking fruit-ninja game-development gamedev gesture-recognition hand-tracking mediapipe mouse mouse-control numpy opencv pyautogui python realtime virtualmouse webcam
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https://github.com/salvatoreamaddio/powerbi
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numpy pandas pandas-python powerbi python
Last synced: 07 May 2026
https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis
This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R
classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow
Last synced: 02 Feb 2026
https://github.com/renukadhule/crop_production_python_analysis
This project analyzes crop production data in India from 1997 to 2015, identifying trends, seasonality, and top-performing states and crops. The insights aim to guide improvements in agricultural productivity and policy decisions.
matplotlib numpy pandas python
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https://github.com/eljandoubi/breakout-strategy
Implementation of the Breakout Strategy
breakout numpy pandas scipy trading-algorithms trading-strategies training
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https://github.com/anas436/student-performance-analysis
In this project I have constructed a Machine Learning System which will analyis students performance with about their academic records. Note that, this project will work with any students recods which you want to provide.
data-analysis jupyter-notebook matplotlib numpy pandas python3 seaborn
Last synced: 16 Apr 2026
https://github.com/asadiahmad/image-enhancement
Image Enhancement with OpenCV Numpy and MatPlotLib
gamma-correction image-enhancement image-processing matplotlib numpy opencv python roi-selection
Last synced: 16 Apr 2026
https://github.com/thekartikeyamishra/customer-retention-predictor
The Customer Retention Predictor is a Python-based tool designed to help businesses predict customer churn using historical data. This project is particularly beneficial for small businesses and MSMEs in India, allowing them to identify customers at risk of leaving and take proactive measures to retain them.
joblib machine-learning numpy pandas python scikit-learn tinker
Last synced: 16 Apr 2026
https://github.com/pedasoft-consult/customer_analytics_fmcg
Customer Analytics in FMCG Industry
k-means-clustering matplotlib numpy pandas python seaborn
Last synced: 03 Mar 2026
https://github.com/iankitnegi/python_projects
Data Analyst Toolkit: A comprehensive collection of Python scripts and notebooks designed for data analysis tasks. Features data cleaning, visualization, statistical analysis, and machine learning models. Ideal for analysts seeking efficient, reproducible workflows.
matplotlib numpy pandas python seaborn
Last synced: 20 Apr 2026
https://github.com/moonmoonsamal/meesho_order_financial_analysis
Generating insights from Meesho sales data (Oct-Nov)
cleaning-dataset eda numpy pandas visualization
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https://github.com/anupreet02/deep-learning-challenge
The objective of this analysis is to develop a deep learning model capable of predicting whether a charity funded by Alphabet Soup is likely to be successful. The model is built using the charity dataset, which contains various features related to each charity, and is used to classify charities as successful or not based on these features.
numpy pandas sckit-learn tensorflow
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https://github.com/ayushpatel2026/stock_predictor
Neural Networks to Predict Stock Prices
data-science flask-api machine-learning neural-network numpy python pytorch
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https://github.com/nidomika/digit-recognition
Digit recognition project in Python
digit-recognition numpy opencv python tensorflow
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https://github.com/samalyarov/practicum_projects
Various data analysis projects displaying tools and instruments that I am proficient with
data-analysis datetime folium geojson matplotlib numpy pandas plotly postgresql powerpoint python regular-expressions requests-library-python scipy seaborn sql sqlalchemy tableau tqdm
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https://github.com/mnitin-reddy/coffee-shop-sales-analytics
This project analyzes coffee shop sales data to uncover key insights, focusing on customer behavior, product performance, and sales trends. Using Pandas, Matplotlib, and Seaborn, the analysis identifies peak sales hours, popular product categories, and opportunities for upselling or bundling.
datasceince datavisualization exploratory-data-analysis matplotlib numpy pandas python seaborn
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🎵 Spotify Songs Analysis using Pandas
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https://github.com/tnleite/real-estate-opportunities-analysis
Este repositório apresenta uma análise de oportunidades no mercado imobiliário, combinando séries temporais, clusterização e previsões para identificar estados com maior potencial de crescimento e orientar estratégias de expansão eficientes.
catboostregressor cluster-analysis data-science kmeans-clustering lightgbm-regressor machine-learning-algorithms numpy regression-models scikit-learn xgboost-regression
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agent-based-modeling computational-economics macroeconomics numpy python
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https://github.com/gkamboj/image-features-extractor
Detect object in any image along with its features like color, etc.
color-classification connexion feature-extraction flask image-classification image-recognition machine-learning numpy opencv python resnet
Last synced: 16 Apr 2026
https://github.com/nicolas-giacomelli/modelo-polinomial-api-streamlit
Codigo focado em treinamento de modelo de previsão de salario por tempo de empresa e nivel dentro da empresa disponibilizado por api e usando front-end streamlit para calcular basta inserir tempo de empresa e nivel e calcular o resultado de salario compativel
api fastapi joblib machine-learning matplotlib numpy pandas pingouin pydantic scikit-learn seaborn streamlit uvicorn
Last synced: 12 Apr 2026
https://github.com/dr-rompecabezas/page-view-time-series-visualizer
A data science project built as part of the freeCodeCamp curriculum.
matplotlib numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/jay6430/python-for-data-science
This Repository includes all the Python concepts that are necessary for Data science.
csv data-visualization datascience-machinelearning html-css ipynb-jupyter-notebook matplotlib numpy pandas python3 xml
Last synced: 04 Mar 2026
https://github.com/shivangmathur1/simple-qlearning
Solving gym environments using Numpy Qtables and Q-learning
Last synced: 07 May 2026
https://github.com/ifimust/room_generator
Room generator service for 2D game levels
flask google-app-engine microservice numpy procedural-generation python
Last synced: 07 May 2026
https://github.com/ben854719/wasde-revenue-in-2024
The project will use AI to analyze the revenue from the dataset of the World Agricultural Supply and Demands Estimates.
gemini langchain large-language-models matplotlib numpy pandas-python
Last synced: 12 Apr 2026
https://github.com/ompreetham/nlp-sentiment-analysis-document-scoring-method
NLP Sentiment Analysis Document Scoring Method
countvectorizer document joblib nlkt nlp numpy pandas project re scoring sentiment-analysis sklearn
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https://github.com/leftcoastnerdgirl/extract_transform_load
This mini project introduces data cleaning through ETL
data-cleaning etl extract-transform-load json merge-sort numpy pandas-dataframe pandas-python
Last synced: 07 May 2026
https://github.com/anas436/diabetes-data-analysis
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