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/harmanveer-2546/nba-homecourt-advantage-data-analysis
In this repo we're diving into NBA game data to explore the phenomenon of home court advantage.
analysis homecourt learning-curve linear-models logisticregression metrics model-selection nba nba-analytics nba-stats numpy pandas preprocessing seaborn sklearn standardscaler
Last synced: 06 Feb 2026
https://github.com/jsd115/tensorflow_bankfrauddetection
This repository aims to provide examples of my ability to produce ML models using tensorflow and sklearn
numpy pandas sklearn tensorflow
Last synced: 06 Feb 2026
https://github.com/ggrbill/phd-plot-scripts
My personal plot scripts used to generate graphs for my PhD Thesis
hacktoberfest matplotlib numpy python
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https://github.com/anhquoc533/neural-network
A Neural Network framework for building Multi-layer Perceptron model.
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/gusenov/max-empty-rect-py
:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.
algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection
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https://github.com/asut00/Machine-Learning-Program_42AI
Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
linear-regression machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/OneMoreDavid/python-like-a-boss
This is where I stash my Python study material.
data data-analysis data-engineering data-science data-visualization datascience ipynb ipynb-jupyter-notebook ipynb-notebook numpy pandas python python3
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https://github.com/bedirk/portfolio-projects
Data Analytics Portfolio Projects
dataanalysis excel mssqlserver numpy pandas powerbi python sql tableau
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docker numpy pandas plotly pytest python3 streamlit streamlit-webapp
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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
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Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5
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This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.
2023 6th-semester colorama compression-algorithm department-of-informatics heapq lossless-compression-algorithm motion-compensation multimedia-systems numpy object-removal opencv-python pickle python scipy-stats university-of-piraeus
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OpenClassrooms parcours Data Analyst Projet 9
matplotlib-pyplot numpy pandas plotly-express plotly-graph-objects python scipy seaborn statsmodels
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cnn-classification flask numpy tensorflow
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https://github.com/anshpg/exploration-in-image-processing-digit-image-generation
This project, developed by Anshuman Pattnaik, explores image processing techniques using Python libraries such as pandas, numpy, matplotlib, and cv2 (OpenCV). The primary objective of the project was to delve into image processing with a focus on creating a unique dataset and algorithm for image generation.
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data-analysis data-visualization matplotlib numpy pandas pyhton scipy seaborn sklearn
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numpy pandas python3 scipy-stats
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Hello World to Neural Network.
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https://github.com/mattia-hulathduwage/wine-quality-analyzer
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machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/saurabh274/netflix-eda
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matplotlib numpy pandas python seaborn
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https://github.com/awaisfraaz/python-libraries
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matplotlib numpy pandas python seaborn
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https://github.com/nagar2nd/ml-regressionmodel---cardekho-price-prediction
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analytics cleaning-data data linear-regression machine-learning matplotlib numpy pandas python seaborn
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imbalanced-learning numpy pandas python scikit-learn seaborn xgboost
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all about machine learning
apache-arrow keras machine-learning numpy pandas scikit-learn tensorflow2
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numpy python3 pytorch reinforcement-learning
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https://github.com/pramodyasahan/health-insurance-cost-prediction
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machine-learning matplotlib numpy pandas python3 scikit-learn
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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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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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https://github.com/abhishekpsonawane07/loan-repayment-prediction-ml
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artificial-neural-networks confusion-matrix decision-trees gradio-interface k-nearest-neighbours loan-dataset loan-prediction-analysis loan-repayment logistic-regression numpy pandas python random-forest sckiit-learn seaborn support-vector-machines
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https://github.com/shiqilu77/machinlearning-lol_gaming
a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc
league-of-legends machine-learning numpy supervised-learning
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https://github.com/moonmoonsamal/meesho_order_financial_analysis
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cleaning-dataset eda numpy pandas visualization
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🎵 Spotify Songs Analysis using Pandas
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https://github.com/kganitis/bam-engine
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agent-based-modeling computational-economics macroeconomics numpy python
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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
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https://github.com/eckelsjd/copier-numpy
Template for a numpy-based scientific computing Python package.
copier-template numpy pdm python
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https://github.com/sundanc/besthousefinder
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numpy pandas prediction python streamlit
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https://github.com/farzeennimran/or-and-and-gates-using-perceptron-learning
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data-science gates machine-learning neural-network neural-networks-from-scratch numpy perceptron-learning-algorithm perceptron-neural-networks python
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https://github.com/gautam-cs/data_science
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aadhar-data csv data-science json numpy olympics-data pandas python35
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finacial machine-learning matplotlib numpy pandas seaborn sklearn
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data-analysis knn-classifier numpy python scikit-learn seaborn
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numpy pandas python scikit-learn
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Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed
jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn
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machine-learning numpy pandas sckiit-learn xgboost
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agent-based-modeling artificial-intelligence deep-learning deep-q-learning exploitation exploration machine-learning machine-learning-algorithms matplotlib-pyplot numpy python q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms state-value-function training
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bokeh expolatory-data-analysis matplotlib numpy pandas python seaborn sqlalchemy
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https://github.com/noluyorabi/bravais-pearson-interactive
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data-visualization interactive-analysis matplotlib numpy pearson-correlation scipy seaborn statistics streamlit
Last synced: 17 Apr 2026
https://github.com/anag0es/projetos-ml
Este é um lugar onde guardo vários projetos para entender como funciona a aprendizagem de máquina. Cada projeto é uma forma de praticar o que estou aprendendo nos meus estudos.
artificial-intelligence crisp-dm data-science deep-learning learning machine-learning neural-network numpy pandas prediction-model python
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https://github.com/gregoritsch3/project_python_jobs_data_analysis
A multi-library Data Analysis Python project that draws useful insights from existing job data. It provides useful exploratory insight about job postings in the Data sector, such as the distribution of remote/non-remote jobs, jobs with/without healthcare, top paying and most demanded data roles, and more.
matplotlib numpy pandas python scipy seaborn
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https://github.com/mwoss/mownit
Various tasks from numerical analysis laboratories solved using Python
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https://github.com/datamallo/python101
The ressources you need to learn or get better in Python. Covering the basics of Python3, NumPy and Pandas for
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https://github.com/lexxai/goit_python_ds_hw_01
GoIT, Python Data Science, Homework number 1.
data-science google-colab jupyter-nootebook numpy numpy-arrays python
Last synced: 18 Apr 2026
