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/anvesham/machinelearning_models_using_matlab
Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers
bagging-ensemble bayesian-optimization decision-trees jupyter-notebook machine-learning matlab multiple-linear-regression-model numpy python random-forest-regression
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https://github.com/aarryasutar/credit_eda
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binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/yash22222/sync-intern-s-ml-tasks
SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.
bhpp boston-house-datasets boston-house-price-prediction boston-house-pricing data data-structures machine-learning machine-learning-algorithms numpy pandas sync-intern sync-interns
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This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
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https://github.com/mardavsj/numpy-in-python
The fundamentals of Python NumPy Library.
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This is for my all machine learning code
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Multi Layer Perceptron
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https://github.com/m-rishab/housing-price-prediction
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Data analysis ( 🐍 💎 📈 )
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CV
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FuncPlot is a user-friendly app built with Kivy and KivyMD that allows you to easily plot and visualize mathematical functions on your desktop or mobile device. With its intuitive interface and support for multiple functions, FuncPlot makes it easy to explore and understand complex mathematical concepts.
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https://github.com/RsGoksel/Genetic-Algorithms
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Character-LSTM implementation in Numpy
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Script used to generate results/summary, including the trends of flagged provinces, from the raw excel data file,
data-analysis data-science data-visualization matplotlib numpy pandas python
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https://github.com/alicankaya192/deep_learning_path
Sıfırdan ileri seviyeye Deep Learning yol haritası. 11 modül: PDF + Python + Jupyter Notebook. NumPy · TensorFlow · PyTorch karşılaştırmalı implementasyonlar.
artificial-intelligence cnn data-science deep-learning gan jupyter-notebook lstm machine-learning neural-networks numpy python pytorch rnn tensorflow transformer
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A program that calculates the median statistic. Program written in Python 3.13.1 with NumPy library during Machine Learning course.
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https://github.com/arsalan692/python-telusko-playlist
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jupyter linear-regression machine-learning matplotlib numpy pandas python regression
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https://github.com/cheese23456/ai-based_stock_analysis_and_portfolio_optimisation
📈 Analyze stocks and optimize portfolios with AI-driven insights, technical indicators, and clear investment signals for informed decision-making.
ai asset-allocation financial-analysis huggingface-spaces numpy pandas portfolio-optimisation python scipy-optimize streamlit
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https://github.com/sweta-kaundilya/python_for_data_analysis
Learning Python and all the relevant libraries in python for Data field.
cufflinks data-analysis data-science matplotlib numpy pandas plotly python seaborn
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Actively upskilling in data science with hands-on learning during a Green Internship focused on environmental sustainability. Used Pandas and NumPy for data preprocessing and cleaning, and created visual dashboards in Excel and Tableau. Gained experience in interpreting sustainability metrics and communicating insights through data storytelling and
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https://github.com/silbena/gibbssampler
Gibbs Sampler for a simple mortgage model.
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matplotlib numpy pandas python seaborn
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matplotlib numpy pandas python seaborn streamlit
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https://github.com/jakubfr4czek/apartment-prices-analysis
This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieństwa i statystyka" (probability and statistics) course i took at AGH University of Science.
agh agh-wi analysis csv jupyter jupyter-notebook krakow numpy pandas price-analysis price-prediction probability probability-statistics python statistics statistics-learning
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https://github.com/dyrits/parite
OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON
matplotlib numpy pandas python
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https://github.com/aqueeqazam/machine-learning-using-scikit
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https://github.com/asuquoaa/applied_data_science_with_python_study
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matplotlib numpy pandas seaborn
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Training and finetuning local GPTs.
gpt nanogpt numpy pytorch tqdm transformers
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Training a SVM Pipeline for Face Recognition :anger:
classification haar-cascade-classifier joblib machine-learning numpy opencv pipeline principal-component-analysis scikit-learn ski support-vector-machines
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jupyter-notebook matplotlib-pyplot modeling-and-simulation numpy pandas scipy seaborn
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https://github.com/iamwatchdogs/retail-insights-from-superstore-data
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System for Personalized Google Scholar Alerts Processing and Data Management, and provision of ML based clustering analysis
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Exploratory Data Analysis of the Titanic dataset using Python (Pandas, NumPy, Matplotlib). Includes data cleaning, visualizations, correlations, and key business insights.
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https://github.com/nxhawk/mln
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
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https://github.com/romanectatyana/fuel_norm
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Transfer numpy array between Python and JavaScript losslessly
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Mandelbrot's Fractal Constructions
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https://github.com/yashpaneliya/bank-loan-default-analysis
Analyze and understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default.
data-analysis loan-default-analysis matplotlib numpy pandas python
Last synced: 06 May 2026
https://github.com/andrewsy1004/logistic-regression-spam-classifier
This project implements a spam email classifier using Logistic Regression.
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