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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/adijo/multilayeredperceptron
An implementation of a multi-layered perceptron.
deep-learning machine-learning numpy
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https://github.com/jpgiant/training_project
Analyzing whether there is a difference between the average death ages of left handers and right handers using Bayesian Conditional Probability Theorem.
bayesian-statistics data-analysis data-visualization numpy pandas-dataframe python
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jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/vipinchaudhary31122002/valuevanguard
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machine-learning matplotlib numpy pandas python sklearn streamlit
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Numerical Methods
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data-science dota2 machine-learning numpy pandas python random-forest sklearn support-vector-machines
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We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.
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This module provides functionality to count unique colors in an image represented as a NumPy array and, optionally, group their coordinates. It includes a Cython-based implementation for improved performance.
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data-science machine-learning matplotlib numpy python seaborn sklearn visualization
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https://github.com/h12m54am/numpy-matplotlib
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https://github.com/sabdikay/telco-customer-churn-analysis-ibm-dataset
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https://github.com/simon2k/stock-price-prediction-evaluation
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evaluation machine-learning numpy pandas predicting-stock-prices scikit-learn
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https://github.com/dipakxettri/numpy
This Repo is dedicated on learning NumPy a first step of learning DataScience/Machine Learning!
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https://github.com/akshatkmistry/parkinsons_disease_predictor-voice_measures
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machine-learning matplotlib numpy pandas random-forest-classifier seaborn sklearn streamlit
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https://github.com/manikantasanjay/emotion_prediction_kaggle_cnn
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Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general
keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow
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https://github.com/abhishek10351/ai-ml
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This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.
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Last synced: 30 Dec 2025
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Last synced: 30 Dec 2025
https://github.com/myahninsi/credit_card_fraud_detection
This repository is for the Neural Networks and Deep Learning Course - Assignment 1, focusing on credit card fraud detection. The project utilizes a machine learning model to predict whether a transaction is fraudulent using a synthetic credit card dataset.
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Last synced: 09 Apr 2026
https://github.com/maxbleu/f1analisys
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Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".
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https://github.com/andreazoccatelli/light_permanova
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https://github.com/ireneflorez/sf-kindergarten-lottery
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This repository showcases my BCG X virtual internship project on customer churn analysis for PowerCo, covering business understanding, EDA, feature engineering, and modeling using Python and machine learning.
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Last synced: 12 Apr 2026
https://github.com/muzahid0408/student_marks_analysis_using_numpy
This project analyzes a student marks dataset to calculate key statistical measures such as mean, median, standard deviation, and more.
datasets jupyter-notebook numpy numpy-arrays pythoh
Last synced: 04 May 2026
https://github.com/ifte-13/loan-approval-system
Loan Approval System
imbalanced-learn matplotlib numpy pandas scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026