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: 2026-02-04 00:22:28 UTC
- JSON Representation
https://github.com/batrick-swaistan/nalaiya_thiran
Nalaiya Thiran IBM Course Training
matplotlib numpy pandas-dataframe python
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https://github.com/debjyotisaha/web-application-projects
Web Applications developed with the help Python libraries and ML algorithms
algorithms cufflinks machine-learning matplotlib numpy pandas prediction python scikit-learn seaborn sklearn streamlit
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https://github.com/greatmonster11/ct202
Machine Learning Theorety
clustering decision-tree iris-dataset k-fold linear-regression numpy pandas perceptron-learning-algorithm python sklearn
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https://github.com/tnel7/data-science-yandex-practicum
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data-science machine-learning nlp-machine-learning numpy pandas seaborn sklearn
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Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.
data-science data-visualization matplotlib numpy pandas pyhton sklearn sklearn-library sklearn-metrics
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https://github.com/pedrolustosa/energyforecasting
This project offers a complete solution for solar energy generation analysis and forecasting, using different machine learning models and a modern, intuitive web interface.
artificial-intelligence axios bootstrap5 chartjs css data-science fastapi fontawesome html5 numpy pandas python r react react-bootstrap rpy2 sklearn spinner toastr typescript
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Heart Failure Prediction in Humans
failure-detection heart heart-disease machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning seaborn svc-model
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data-analysis data-visualization datacamp jupyter-notebook matplotlib numpy pandas python seaborn
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dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python
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css datetime docs flask github html javascript keras numpy onrender os pandas python sheety smtp tensorflow
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keras machine-learning numpy pandas pil pillow python streamlit streamlit-webapp
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deep-reinforcement-learning matplotlib-pyplot numpy pygame python
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machine-learning matplotlib numpy pandas seaborn sklearn visualization
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https://github.com/aaaastark/breast_cancer_analysis
Breast_Cancer_Analysis
data-science dataset machine-learning numpy pandas python sklearn tensorflow
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https://github.com/dev-dur/student_exam_analysis
This is a beginner-friendly data analysis mini-project using NumPy, Pandas, and Matplotlib. The project generates random student exam scores, analyzes them, and visualizes the results.
matplotlib-pyplot numpy pandas python
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https://github.com/anas436/diabetes-prediction-whether-has-diabetes-or-not
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https://github.com/rajesh9943/developing-a-bike-buyer-sales-report-dashboard-using-excel
This dataset has details of 1000 users from different backgrounds and whether or not they buy a bike. This data can be used to build the dashboard in Google Sheets. There are some NA (Null / Empty) values injected in the dataset. Use this dataset for Data Cleaning, Exploration, and Visualization.
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https://github.com/vedanty3/bulldozer-price-prediction
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andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm
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https://github.com/harmanveer-2546/nasa-asteroid-classification
Classifying whether an asteroid is hazardous or not.
eda matplotlib numpy pandas python seaborn visualization xgboost
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https://github.com/jinhx128/data_analysis
基于Matplotlib+Numpy+Pandas搭建的数据分析项目。
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https://github.com/saylie/cat-dog-classifier-
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https://github.com/ljubogdan/solar-cycle-lstm
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Project Title: Titanic Survival Prediction Project Overview The Titanic Survival Prediction project is a classic machine learning problem that aims to predict whether a passenger survived the Titanic disaster based on various features such as age, gender, passenger class, and more. This project demonstrates my ability to clean, analyze, and model.
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https://github.com/rezapace/number-generator
Proyek ini adalah sebuah program yang digunakan untuk menghasilkan deretan angka dengan langkah tertentu dan menambahkan teks setelah setiap angka. Program ini mendukung berbagai metode untuk menghasilkan angka, termasuk penggunaan CuPy untuk memanfaatkan GPU, serta penggunaan threading untuk meningkatkan kinerja.
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https://github.com/sarmad426/ai
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https://github.com/mlicamele/neural-network
Project focused on exploring the computations behind neural networks by building one from scratch with only numpy and testing it with the MNIST dataset.
gradient-descent matrix-computations neural-networks numpy python
Last synced: 24 Oct 2025
https://github.com/kostadinlambov/bitcoin-and-stock-market-correlation
This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.
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https://github.com/bilalm04/email-spam-classifier
A machine learning project that classifies emails as spam or not spam using Logistic Regression, with a deployable Flask API for real-time classification.
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https://github.com/estaheri7/dotawinpredictor
This project aims to predict the outcome of Dota 2 matches based on the heroes picked by both the Radiant and Dire teams
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https://github.com/dipeshgoyal013/salary-data-analysis
Salary Analysis according department and agency.
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https://github.com/toxe/python-plotting
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https://github.com/adriantomin/bulldozer-price-prediction
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artificial-intelligence artificial-neural-networks deep-learning framework machine-learning machine-learning-algorithms neural-network neural-networks numpy python3
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https://github.com/shwetapardhi/assignment-03-q5--hypothesis-testing
Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of
alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing null-hypothesis numpy pandas python scipy significance-testing stats
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binary-classification cuda-toolkit cupy dask dask-dataframes higgs-boson keras keras-tensorflow matplotlib matplotlib-python numpy pandas pandas-dataframe scikit-learn uci-dataset uci-machine-learning
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https://github.com/shishirshekhar/penguin_app
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data-science logistic-regression ml numpy pandas python python3 random-forest-classifier streamlit streamlit-application streamlit-webapp support-vector-machine
Last synced: 31 Jan 2026
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https://github.com/chandkund/sentiment-analysis-on-movie-reviews
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data-science eda jupyter-notebook machine-learning matplotlib numpy pandas preprocessing python sklearn
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https://github.com/bineet-ratna-shakya/data-science-salary-analysis
analyzing a dataset containing salaries of data science professionals from 2020 to 2023.
data-analysis data-science data-visualization jupyter numpy pandas python
Last synced: 01 Feb 2026
https://github.com/gustavo-venceslau/housing-price
A Machine Learning project to create a model to predict housing prices. The project is based on the example in chapter 2 of the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélion Géron
conda machine-learning matplotlib numpy pandas python sklearn
Last synced: 18 Jul 2025
https://github.com/luizabash/wmap-tt-eda
EDA of the WMAP 5-Year TT Power Spectrum data, the analysis includes summary statistics, data visualization, polynomial regression for model fitting, and hypothesis testing
astrophysics matplotlib numpy pandas scipy
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https://github.com/arnoldchrisoduor1/potato_disease
Trained a CNN to detect the presence and the current stage of Blight disease in potatoes, WebApp in FastAPI and React
fastapi keras numpy react serving-tensors tensorflow
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https://github.com/noopur-phadkar/botnavigator
BotNavigator utilizes the A* (A-Star) algorithm for pathfinding, leveraging Python along with libraries such as Matplotlib and Numpy for efficient array operations and visualization. This innovative solution optimizes robotic navigation within warehouse environments, enhancing operational efficiency and scalability.
a-star-path-finding matplotlib numpy pathfinding-algorithms python robotics
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https://github.com/cr00z/dlschool_adv
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matplotlib numpy pandas python pytorch sklearn
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https://github.com/lefteris-souflas/the-algorithmic-approach-to-winning-guess-who
This repository provides a systematic approach to winning the "Guess Who?" game through advanced machine learning techniques. It offers a comprehensive methodology for enhancing gameplay strategy and optimizing decision-making processes with meticulous attention to detail.
decision-tree drawio gradient-boosting graphviz-dot lightgbm machine-learning matplotlib numpy pandas python random-forest scikit-learn
Last synced: 02 Mar 2025
https://github.com/rociobenitez/deeplearning-airbnb-price-prediction
Deep Learning project for Airbnb price prediction, featuring data preprocessing and neural network models in Google Colab.
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
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https://github.com/towaquimbayo/comp-3948
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https://github.com/ompreetham/signs-of-ageing
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https://github.com/kheriberto/knn_project
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data-analysis knn-classifier numpy python scikit-learn seaborn
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https://github.com/ksasi/dog-breed-classifier
Dog Breed Classifier
cnn cnn-classification computer-vision deep-learning deep-neural-networks keras keras-neural-networks machine-learning numpy pandas python scikit-learn
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https://github.com/akash-207/ecommerce-monetization-analysis
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business-analytics matplotlib mysql numpy pandas python seaborn
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https://github.com/pramodyasahan/titanic-survival
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data-preprocessing matplotlib numpy pandas python scikit-learn support-vector-regression
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https://github.com/lruizap/tomography-with-algebraic-topology
This project aims to analyze images using algebraic topology. The goal is to extract structural information from images through mathematical concepts such as connected components and loops.
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https://github.com/quickheaven/python-for-data-science-and-machine-learning-bootcamp
Python for Data Science and Machine Learning Bootcamp
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MCA SEMESTER 3 PROGRAMS
android-application android-studio java jupyter-notebook ml numpy python
Last synced: 30 Dec 2025
https://github.com/rohansoni45/ipl-win-predictor
A machine learning model that predicts the outcome of IPL matches based on historical data and player performance. Built using Python and libraries like Pandas, NumPy, and scikit-learn. This project demonstrates the use of classification algorithms to predict match outcomes.
classification data-science ipl machine-learning model-evaluation numpy pandas python sklearn sports-analytics
Last synced: 28 Mar 2025
https://github.com/paulinhok14/csgo-datascience-project
📊 Analysis of CS:GO grenade usage patterns and their impact on match outcomes using data science and statistical methods.
matplotlib mlflow numpy python scikit-learn scipy seaborn
Last synced: 30 Dec 2025
https://github.com/aksoni07/movie-recommendation
A hybrid movie recommendation system designed to deliver personalized and accurate suggestions by combining user preferences, item attributes, and collaborative patterns, ensuring a seamless and engaging experience.
clustering content-based-filtering data-analysis embeddings jupyter-notebook numpy ollaborative-filtering pandas personalization python recommendation-systems scikit-learn user-item-interactions
Last synced: 30 Dec 2025
https://github.com/zalkklop/lvsm
Official code for "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias" (ICLR 2025 Oral)
attention-mechanisms deep-learning github-config large-view-synthesis matplotlib multi-label-classification nltk numpy one-vs-rest python seaborn sql tensorflow transformers
Last synced: 09 Apr 2025
https://github.com/nicovandenhooff/kaggle-competitions
A repository that contains my Kaggle projects.
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Last synced: 30 Dec 2025
https://github.com/kamildzierzak/pjatk-suml-project
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Last synced: 03 Apr 2025
https://github.com/suthar345piyush/churn-prediction-project
Churn Prediction Model ( using ANN )
artificial-neural-networks matplotlib numpy pandas-dataframe python seaborn sklearn tensorflow
Last synced: 30 Dec 2025
https://github.com/hoyirul/flask-starter-fs
Flask-Starter-FS is a concise full-stack starter kit for Flask web development, offering quick setup and pre-configured settings for seamless integration of front-end and back-end components. Accelerate your full-stack web application development with Flask-Starter-FS.
flask machine-learning numpy pandas python sklearn
Last synced: 24 Jun 2025
https://github.com/bearddan2000/python-web-3d-matplotlib-distribution-cumulative-graph
A demo of creating a 3d distribution cumulative graph.
3d cumulative distribution graph matplotlib numpy pandas python web
Last synced: 30 Dec 2025
https://github.com/yash-dave/creditcard-fraud-detector
An end-to-end Streamlit app for detecting credit card fraud using unsupervised anomaly detection techniques like Isolation Forest, One-Class SVM, LOF, and Autoencoders.
numpy pandas plotly python seaborn streamlit tensorflow
Last synced: 30 Dec 2025
https://github.com/sanjurajveer/market_basket_analysis
Finding pattern of bought objects through market basket analysis
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Last synced: 13 Apr 2025
https://github.com/dulajkavinda/handwritten-recognition
🛢Handwritten Digit Recognition using OpenCV
added machinelearning numpy opencv python
Last synced: 30 Dec 2025
https://github.com/tinaland101/carcinoma-regression-project
The goal of this project is to analyze and visualize the results of a clinical study involving the treatment of squamous cell carcinoma (SCC) in mice. As a senior data analyst, you are tasked with preparing a technical report for Pymaceuticals, Inc.
linear-regression mathplotlib numpy pandas pyhton
Last synced: 03 Mar 2025
https://github.com/bearddan2000/python-web-3d-matplotlib-scatter-parametric-curve-graph
A demo of creating a 3d scatter parametric curve graph.
3d curve graph matplotlib numpy pandas parametric python scatter web
Last synced: 30 Dec 2025
https://github.com/sutterseba/des-python
A simple DES implementation in Python
Last synced: 23 Feb 2025
https://github.com/lefteris-souflas/economic-connectedness-analysis
Jupyter notebook, replicating studies on social capital from Nature journal, analyze economic connectedness, upward income mobility, and more. Python and relevant datasets are utilized to recreate figures and analyses.
analytics choropleth-map json jupyter-notebook matplotlib matplotlib-pyplot numpy pandas plotly-express python3 regplot scatterplot seaborn stata visualization
Last synced: 30 Dec 2025
https://github.com/data-analysis-python/pandas_api_spark
Uso del API de pandas en Spark
envs jupyter-notebook matplotlib numpy pandas pyspark python3 terminal
Last synced: 30 Dec 2025
https://github.com/zakircodearchitect/intent-classifiers-on-regression-models
This project compares five optimization algorithms (GD, SGD, Momentum, RMSProp, and Adam) on Univariate Linear Regression and a neural network for Intent Classification with the ATIS dataset. It evaluates convergence speed, stability, and final loss, showing that Adam delivers the best performance across both models.
atis-dataset intent-classification jupyter-notebook keras keras-neural-networks matplotlib numpy python regression-models tenserflow
Last synced: 30 Oct 2025
https://github.com/ebadshabbir/logistic_regression-binomial-
Logistic Regression on Social Network Ads Dataset This project applies Logistic Regression to predict whether a user will purchase a product based on their age and estimated salary, using the Social Network Ads dataset. The data is split into training and test sets, with feature scaling applied for normalization.
classification jupyter-notebook logistic-regression machine-learning matplotlib-pyplot numpy pandas python sklearn
Last synced: 30 Dec 2025