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/pranavsuriya-sr/e-hub_energysystems
Python based Web Application for analysis and visualization of concepts in Energy Systems.
css energy-systems-analysis html javascript matplotlib numpy python schemdraw streamlit
Last synced: 11 Apr 2026
https://github.com/amiriiw/text_classification
Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.
keras numpy pandas pickle scikit-learn tensorflow text-classification
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https://github.com/samuele-lolli/data-analytics-techniques
A practical approach to data analytics pipeline.
numpy pandas pytorch scikit-learn
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https://github.com/codewithmayank-py/covid19-data-analysis-using-python
COVID-19 and Happiness Analysis
data-analysis data-analysis-python data-visualization dataset jupyter-notebooks numpy pandas python3 seaborn
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https://github.com/ashishsingh789/titanic_dataset_eda_and_visualization
This repository contains an exploratory data analysis (EDA) of the Titanic dataset. Key analyses include survival rates by gender, passenger class, age distribution, family size, and correlation heatmaps.
data data-science dataanalysis matplotlib numpy pandas pandas-dataframe python seborn visualisation
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https://github.com/pd2871/streamlit_automl
Auto Exploratory Data Analysis using Streamlit App
matplotlib numpy pandas python streamlit streamlit-webapp
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https://github.com/ebadshabbir/logistic_regression-binomial-
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classification jupyter-notebook logistic-regression machine-learning matplotlib-pyplot numpy pandas python sklearn
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classification-model data-preprocessing decision-tree-classifier kaggle-dataset machine-learning numpy pandas python scikit-learn snapml time tree-model
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https://github.com/imdeepmind/knn_from_scratch
KNN classifier in pure Numpy and Python
knn knn-classification machine-learning numpy python
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https://github.com/akibahmed229/development-of-intelligent
development of intelligent
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https://github.com/shwetajanwekar/hr-data-analytics
Analyze the HR data through exploratory data analysis, we identified key factors influencing employee attrition, satisfaction levels, and performance. Machine learning models enabled us to predict employee churn and classify potential candidates for promotion.
matplotlib numpy pandas seaborn
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Data Science and Machine Learning
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data-analysis freecodecamp-project numpy python
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https://github.com/dabrokarol/atmorad-py
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https://github.com/richardbmk/datascience_machinelearning
projects related with data science and machine learning projects.
data-science machine-learning matplotlib numpy pandas scikit-learn scipy seaborn
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https://github.com/elmezianech/email-spam-ham-classifier-nb-hard
Naive Bayes Email Classifier: An implementation of a 'hard' Naive Bayes classifier in Python to categorize emails as spam or ham. This code performs extensive data preprocessing, probability calculations, and model training for email classification using the raw Naive Bayes algorithm.
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https://github.com/batthulavinay/which-anime-dominates-the-world
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https://github.com/hariprasath-v/av-dataverse-hack---insurance-claim-prediction
Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.
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https://github.com/nikhil-donthusaram/heartdiseaseprediction
Heart Disease Prediction App is a machine learning web application that predicts the likelihood of heart disease based on user medical inputs. Built using a Decision Tree Classifier and deployed with Streamlit for an interactive, user-friendly interface.
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https://github.com/pb319/california_house-price-prediction
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https://github.com/rutujaingole/jailbreaking-deep-models
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https://github.com/ralolooafanxyaiml/neural-evolution-engine
A modular AI evolution simulation engine built with Python and TensorFlow. Uses Deep Learning to predict organism adaptations against environmental threats.
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Last synced: 07 Jan 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-vertical-bar-graph
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https://github.com/rnuv/artificial-neural-network
A Simple 2 layered Artificial Neural Network library made from scratch in Python and NumPy. Fitted with a feed forward method and backpropagation.
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Last synced: 18 Mar 2025
https://github.com/pthmhatre/smart-attendance-system-using-face-recognition
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https://github.com/l-gre/tradefx-ai
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https://github.com/djdhairya/car-accident-detection
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https://github.com/codeslash21/data_analyst_nanodegree
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https://github.com/maruf346/python-programs
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Last synced: 16 May 2026
https://github.com/sanjanahombal/sentiment-analysis-using-neural-networks
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matplotlib numpy pandas python streamlit
Last synced: 12 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_05
Метод опорних векторів -Support Vector Machine, SVM. Дерева рішень - RandomForestClassifier, XGBClassifier
classification numpy pandas python random-forest-classifier reporting scikit-learn svm-classifier svm-model xgbclassifier
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https://github.com/prakshal0809/machine_learning_algorithms
This project showcases basic machine learning programs I developed during my studies, written in Python, intended for educational use or as a foundation for more advanced projects.
machine-learning matplotlib numpy pandas python
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https://github.com/bhiogade/hpi-analysis
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https://github.com/alwaysvivek/next-word-prediction
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https://github.com/nicolas-giacomelli/modelo-polinomial-api-streamlit
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https://github.com/allenvox/statistics
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https://github.com/urvee1810/eda-time-series
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https://github.com/shreeparab1890/chat-analyzer
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