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: 2026-02-06 00:23:20 UTC
- JSON Representation
https://github.com/lorenzorottigni/ml-universities
Machine Learning python bootcamp: K mean clustering with public/private universities dataset
k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn
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https://github.com/dulajkavinda/numpy-ml
🔢 Calculations with NumPy library.
calculations jupyter-notebook machine-learning matrices numpy numpy-arrays python
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jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode
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💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!
matplotlib-pyplot numpy pandas scikit-learn seaborn
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The Management team at Walmart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions. They want to understand if the spending habits differ between male and female customers:.
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HIV data analysis per county (use PYTHON IDE)
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https://github.com/ferasaljoudi/driverdrowsinessdetection
Driver Drowsiness Detection using Machine Learning
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matplotlib numpy pandas plotly python3 scikit-learn seaborn
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https://github.com/shingiraibhengesa/house-price-predictor
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machine-learning-models matplotlib numpy python scikit-learn seaborn
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https://github.com/shriansh2002/stock-prediction
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apple datascience finance linearregression machinelearning matplotlib ml numpy pandas prediction python scikitlearn stock-prediction stockmarket
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https://github.com/rarawe/taskly
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Vehicle Detection & Tracking - Self Driving Cars
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📊 Analysis of CS:GO grenade usage patterns and their impact on match outcomes using data science and statistical methods.
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Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.
analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations
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https://github.com/asier-ortiz/ai-course-notebooks
AI course Notebooks and Exercises
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:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.
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https://github.com/prarthana-singh/bangalore-house-price-predictor
🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.
data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn
Last synced: 16 Mar 2025
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image-processing imagecompression kmeans-clustering machine-learning matplotlib numpy
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https://github.com/hansalemaos/cv2_collage
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https://github.com/harmanveer-2546/eda-on-indian-railways
Indian Railways is a statutory body under the ownership of the Ministry of Railways of the Government of India that operates India's national railway system. As of 2023, it manages the fourth largest national railway system by size with a track length of 132,310 km, running track length of 106,493 km and route length of 68,584 km.
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https://github.com/harmanveer-2546/predicting-schizophrenia-disorder
The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase
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https://github.com/harmanveer-2546/wafer-fault-detection
The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.
clustering data-transformation feature-selection machine-learning matplotlib numpy pandas python random-forest roc-auc-curve roc-auc-score seaborn sklearn svc xgboost
Last synced: 28 Feb 2025
https://github.com/md-emranhossen/facial-recognition-with-real-time-database
A project combining Firebase and OpenCV for accurate facial recognition and instant data updates, ideal for applications requiring secure identity verification and tracking.
facerecognition firebase gui-application numpy opnecv pillow python
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https://github.com/navid-kalaei/numpy-neural-network
Neural network implemented in Numpy to predict bike sharing on real data
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https://github.com/codersales/machine-learning-project
Machine Learning Project
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Last synced: 20 Feb 2025
https://github.com/deepankkartikey/ml-projects
A repository of projects done while learning and exploring ML
classification csv machine-learning numpy pandas regression sklearn
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