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: 2026-02-09 00:17:55 UTC
- JSON Representation
https://github.com/abhijais4896/belarus-car-price-prediction
Belarus-car-price-prediction
data-analysis datacleaning macine-learning numpy pandas python
Last synced: 18 Sep 2025
https://github.com/rohanbanerjee1234567-cell/prediction-of-expected-salary-using-machine-learning
Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.
exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization
Last synced: 18 Sep 2025
https://github.com/akshitvats026/heart_disease_prediction
An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.
accuracy-score logistic-regression machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 30 Dec 2025
https://github.com/sanjana-bongale/cancer_survival_data_analysis_and_prediction_using_logistic_regression
This project performs data analysis using Python to predict cancer patient survival outcomes. It involves data cleaning, exploratory analysis, and visualizations to explore factors like cancer type, stage, and treatments. A logistic regression model is built to predict patient survival based on demographic and medical data.
data-analysis data-cleaning data-science data-visualization eda jupyter-notebook kaggle logistic-regression machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn seaborn
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https://github.com/mike014/soundbot
This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.
chatbot dsp nlp nlp-library nlp-machine-learning numpy python scipy sound-processing
Last synced: 18 Nov 2025
https://github.com/chicoyildiz/python-raytracing-demo
Interactive Python ray tracer (numpy + pygame) with a ceiling camera, dynamic resolution scaling, and a glowing bouncing fireball.
numba numpy python python3 raytracing
Last synced: 18 Sep 2025
https://github.com/samiksha29-patil/hr-employee-data-analysis-visualization-in-python
This project focuses on analyzing an HR Employee Dataset that contains details about employees such as demographics, job status, salaries, performance reviews, satisfaction levels, and attrition reasons.
csv-files data data-visualization dataanalysis matplotlib numpy pandas python seaborn
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https://github.com/florasteve/ml-foundations-day1
Day-1 ML foundations focused on linear algebra: vectors, dot products, norms, angles, projections, and basic matrix operations—implemented in a Jupyter notebook with NumPy/Matplotlib, clear 2D visuals, a self-quiz, and a brief reflection. Emphasizes how these math primitives map to core ML/AI ideas (similarity, least squares, geometric transforms).
ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy python3 terminal-mac tutorial visualization vscode
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https://github.com/satvikpraveen/numpymasterpro
A hands-on, production-ready toolkit to master NumPy — from first principles to real-world applications. Includes modular Jupyter notebooks, reusable utility scripts, cheatsheets, and advanced projects like K-Means clustering from scratch.
broadcasting data-analysis data-science data-source data-visualization jupyter-notebook kmeans-clustering linear-algebra machine-learning matrix-algebra numerical-computation numpy numpy-broadcasting numpy-examples numpy-tutorial open-source python scientific-computing standardization vectorization
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https://github.com/shotadft/vecposlib
This is a library that enables vector calculations in Python.
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EDA Travel data by PW Skills Data Analytics Course.
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https://github.com/fikri-rouzan/energy-consumption-prediction
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jupyter-notebook matplotlib numpy pandas python scikit-learn scipy seaborn
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https://github.com/mashalk1/computer-vision-attendance-system
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https://github.com/anushkapal28/maatri-care
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LBW Detection in Cricket: A Deep Dive with OpenCV & NumPy
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https://github.com/calcagnoloic/algo_data_plot_ml_playground
Carry out a series of exercises related to different aspects of Python: algorithmic, data manipulation with NumPy/Pandas, data visualization with PyPlot/Seaborn and the base of machine learning (KNN/logistic)
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This repository is designed to help you master NumPy, the fundamental package for scientific computing with Python. Whether you are just getting started or looking to refine your skills with advanced techniques, this repo covers a comprehensive range of topics and functionalities. It covers the range of topics from beginner to advance.
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In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.
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https://github.com/shiqilu77/machinlearning-lol_gaming
a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc
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Analysis via CLT and Visualization on Multinational Retail Corporation's data to provide insights and recommendations to improve their userbase.
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:orange_book: Jupyter notebooks containing useful Python code and notes for general Machine Learning and Data Science projects.
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:chart_with_upwards_trend: Machine Learning & Data Visualisation/Processing techniques for predicting the critical temperatures required for different superconductors to conduct electrical current with no resistance.
jupyter jupyter-lab jupyter-notebook machine-learning matplotlib matplotlib-pyplot numpy pandas prediction python python-3 regression regression-algorithms scikit-learn scikitlearn-machine-learning scipy
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https://github.com/ajxxxs/spotify-music-analysis
spotify Music (web scraped playlists ) analysis (over 3 states) , trends, features and a music recommendation system.
matplotlib numpy panda scikit-learn seaborn
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https://github.com/an4pdm/exercicios-de-numpy
Repositório com exercícios básicos de Numpy para praticar.
exercicios-python exercicios-resolvidos exercises jupyter-notebook jupyterlab numpy numpy-exercises numpy-python python study tutorials
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Welcome to the Python Basics Repository! This repository is a collection of over 100 basic Python programs designed to help beginners and enthusiasts strengthen their coding skills. The programs cover a wide range of fundamental topics and concepts in Python, making it a valuable resource for anyone learning or revising the language.
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https://github.com/nathadriele/ifood-data-governance-pipeline
Este projeto demonstra uma solução completa de Data Governance com foco em qualidade, rastreabilidade, segurança e conformidade com LGPD. Utiliza tecnologias modernas como Streamlit, Airflow, dbt e Pydantic para implementar um ecossistema funcional e interativo com dashboard de governança de dados.
airflow dashboard data-analysis data-catalog data-engineering data-governance data-quality data-visualization dbt ifood lgpd matplotlib numpy observability-data pandas pipeline pyspark redis seaborn streamlit
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https://github.com/youssefyaser/scrape-the-imdb-site-for-the-top-250-movies
Web scraping the top 250 movies in IMDB site.
data-analysis numpy pandas python
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https://github.com/aniket2021448/fakenewspredictionapp
The web app uses logistic regression on a dataset of 20,000 news articles, achieving 96% accuracy. It employs NLTK for text preprocessing and TF-IDF for feature extraction.
huggingface ml news nltk-python numpy pandas-python streamlit-webapp transformers-models
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https://github.com/rusenaite/frame-quality-clustering
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https://github.com/hercules-peters/learn-ml-with-me
Welcome to **ML-Journey**, my personal progress tracker for mastering machine learning! This repository showcases my projects, notebooks, and explorations as I advance my skills, starting with hands-on projects.
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https://github.com/michabirklbauer/neuralnet
Neural Network Implementation in NumPy
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https://github.com/pramodyasahan/model-selection
This repository explores and compares different regression models for predicting continuous outcomes. This repository includes implementations and evaluations of five key regression models. The primary goal is to demonstrate how each model works, evaluate their performance using R-squared values, and guide users in selecting the best model.
machine-learning modelselection numpy pandas python regression scikit-learn
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https://github.com/zeeshan4002911/data-analysis-hub
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https://github.com/pramodyasahan/spaceship-titanic
This repository features a machine learning model designed to predict whether passengers of a space travel company are likely to be transported. The model employs CatBoostClassifier, a machine learning algorithm known for handling categorical data effectively.
machine-learning numpy pandas python scikit-learn
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https://github.com/kkkaan/tensor-library-403-hw1
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https://github.com/ledsouza/MedPhys-BI
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https://github.com/quarkgluant/analyse-visualisation-data-with-python
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Smart Credit Risk Solutions
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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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A Python tool for generating concise summaries of datasets using Pandas and NumPy for analysis, and Matplotlib and Seaborn for insightful visualizations. Ideal for quick exploratory data analysis (EDA).
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https://github.com/paulo-santos-ds/visao_computacional
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https://github.com/ramyacp14/global-warming-analysis
Analyzes and visualizes global temperature data to identify climate change trends. The project includes global and seasonal temperature trend analysis, country-wise and city-specific temperature visualizations, and geospatial analysis with interactive maps and heatmaps.
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https://github.com/anker661/autograd-playground
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https://github.com/klima7/numpynet
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https://github.com/niteshchawla/online-marketing-time-series-case-study
An ads and marketing based company helping businesses elicit maximum clicks @ minimum cost.
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https://github.com/hariprasath-v/hackerearth_get-a-room-ml-hackathon
Build a Machine Learning model to identify the habitability score of the property based on the property's basic information and location-based information.
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https://github.com/oguzhantekeli06/datascience_machinelearning_prediction
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🌡️ 2100년까지의 지구 기온, 해수면, 북극 빙하, 탄소 예측 ML [완료]
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