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/fearless-spider/spideroptic-cli
Spider Optic CLI is a command line application.
cement cli cli-app command-line makefile numpy oanda pypi python
Last synced: 01 May 2026
https://github.com/somyaaaaaa2004/travelling-sales-man-problem
This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial
genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem
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https://github.com/evan-dg31/data-science
Exploratory Data Analysis (EDA), Predictive Modeling (Supervised and Unsupervised), Regression, Classification, Clustering
classification clustering data-analysis data-science data-visualization machine-learning matplotlib numpy pandas python regression-analysis seaborn
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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.
clean-data eda exploratory-data-analysis geometry geopandas indian-railways json linestring matplotlib numpy os pandas plotly python railway seaborn shapely train visualization
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https://github.com/himanshigautam-rgb/python_libraries
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matplotlib numpy pandas python3
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https://github.com/harmanveer-2546/prediction-of-ticket-cancellation
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datetime evaluation gridsearchcv labelencoder numpy pandas standardscaler stratified-k-fold train-test-split xgboost-model
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https://github.com/pinedah/sleep-data-analysis-exercise
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data-analysis data-science escom numpy pandas python school-project scipy
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[Project] Analyzing Fitness Patterns & Building Predictive Models
matplotlib numpy pandas python3 recommender-system scikit-learn seaborn tensorflow
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A credit card Fraud Detection Model
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https://github.com/chandkund/predicting-diabetes-onset
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Updated test score data and school district analysis using Python.
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https://github.com/eigenein/coursera
My Coursera assignments
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https://github.com/charanpool/image-patch-mapping
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https://github.com/nikhilsree5/netflixcasestudy
Global Content Strategy: Leveraging Data Insights to Optimize Netflix's International Growth
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A fraude de cartão de crédito é uma forma comum de fraude que afeta milhões de pessoas em todo o mundo. Essa fraude pode ter consequências graves, tanto para as vítimas quanto para as instituições financeiras que emitem os cartões de crédito.
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https://github.com/naveen88112/clustering_customer_invoice_data
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Customer churn prediction is a crucial task in business analytics, helping companies identify customers who are likely to leave and take preventive actions. This project utilizes Machine Learning (ML) techniques to analyze customer behavior and predict churn.
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This repository contains the Python code and projects I created while learning the Data Analysis with Python: Zero to Pandas course. The course covers essential topics such as data cleaning, analysis, and visualization using powerful Python libraries like Pandas, NumPy, Matplotlib, and Seaborn.
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https://github.com/msikorski93/Linear-Regression-From-Scratch
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https://github.com/v41bh4vr4jput/python---numpy
A collection of hands-on examples, exercises, and projects to master NumPy — the fundamental package for numerical computing in Python. This repository is perfect for beginners and advanced learners looking to explore array manipulation, mathematical operations, and high-performance data analysis.
Last synced: 20 Apr 2026
https://github.com/yipjunkai/pyvolr
Modern Black-Scholes-Merton pricing, Greeks, and implied volatility for Python. Rust core. Drop-in replacement for the abandoned py_vollib.
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https://github.com/dbriane208/python-for-data-science
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https://github.com/hanzdr/2d-3d-object-transformation
For my Linear Algebra Project Defense
matplotlib-python matrix numpy
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Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm
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https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions
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https://github.com/eesunmoon/applied_machine_learning
[Fall 2024] Applied Machine Learning
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https://github.com/shivamkumar818/mbti-personality-prediction-from-text-data
MBTI Personality Prediction from Text Data This project leverages machine learning to predict Myers-Briggs Type Indicator (MBTI) personality types based on textual data, specifically from social media posts.
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https://github.com/iv4n-ga6l/GenderDetection
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Crowd move simulation in python
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https://github.com/roaajadaa/car-price-prediction
Use different models to predict car prices using web scraping
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Exploratory data analysis and feature engineering on Quora dataset.
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https://github.com/nambukeerthi/copper_project
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https://github.com/sahaninilesh/future_ds_01_social-media-sentiments-analysis
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https://github.com/ananyajain2004/fake-news-detection
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https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2
Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t
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Last synced: 09 May 2026
https://github.com/shwetapardhi/assignment-03-q2--hypothesis-testing
Anova ftest statistics A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine wheth
annova ftest hypothesis-testing numpy pandas python scipy significance-testing stats
Last synced: 11 Apr 2026
https://github.com/miss-mhv/udacityproject_dataviz
Data analysis of a bicycle rental system. The goal is to understand how trips are made according to age, time of year, day of the week, time of day
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Last synced: 13 Apr 2026
https://github.com/saraasgari99/videoclassificationusingdeeplearning
ML pipeline for biological video analysis using cutting-edge CNN architectures and industry-standard data processing and ML techniques
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Last synced: 13 Apr 2026
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👗 classify fashion items using machine learning
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https://github.com/amruta33/lead_scoring_case_study
An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.
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https://github.com/vviveksharma/barcodescanner
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https://github.com/preethiphilip/prosper-loan-data-analysis
This project explores the Prosper loan dataset to uncover trends, borrower behaviors, and factors influencing loan performance. Using Python and data visualization techniques, the analysis examines key variables such as credit scores, loan status, income ranges, and debt-to-income ratios to gain insights into credit risk and lending patterns.
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https://github.com/sadia-khan13/data-preprocessing
Welcome to the Data preprocessing Repository! This repository is dedicated to showcase the comprehensive resources and implementations related to Data Preprocessing using Python and Jupyter Notebook.
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https://github.com/shahiakhilesh1304/fitbitcasestudy
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https://github.com/1adityakadam/uber_data_analytics
End to end Google Bigquery + Looker Studio Data Analytics Project Transforming NYC Taxi Data into Actionable Intelligence
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https://github.com/vi-ssh-al/diamond-price-prediction
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https://github.com/csengupta1101/netflix-rating
The project revolves around Netflix shows and movies around the world. The problem statement that is being tried to address here is that what kind of show to come up with in future times and how well that will fit with the audience
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Last synced: 13 Apr 2026