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/alfastrek/textinsight-pro
Webscraper with Natural Language Processing
beautifulsoup jupyter-notebook nltk numpy pandas python webscraping
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https://github.com/chandadiya2004/movie-recommendation-system
A Movie Recommendation System built using TfidfVectorizer and cosine similarity. The model processes a large dataset of movies and recommends similar movies based on a given input movie by analyzing textual features and calculating similarity scores.
cosine-similarity numpy pandas python sklearn tfidf-vectorizer
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https://github.com/laipching/sprint6_module1
Exploratory Data Analysis with Python (Pandas/Matplotlib/Seaborn). Business questions, metrics and clear visualizations.
data-visualization eda matplotlib numpy pandas python seaborn
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https://github.com/monddavila/online-retail-data-analysis
Online Retail Exploratory Data Analysis with Python
data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/abideen-olawuwo/sign-language-lambda
A model deployed to AWS Lambda
aws aws-lambda keras lambda numpy requests serverless
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https://github.com/muhammadusman-khan/e-commerce-store-eda
Exploratory Data Analysis on E-commerce store data to uncover insights about sales trends, customer behavior, and product performance using Python libraries like Pandas, NumPy, and Matplotlib/Seaborn.
data-analysis data-science data-visualization e-commerce eda exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/snehasunilnair/image-processing-projects
Image pre-processing techniques using OpenCV.
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Restaurant_Data_Analysis_and_Prediction
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https://github.com/shwetapardhi/assignment-04-simple-linear-regression-1
Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi
correlation-analysis data-visualization distplot eda feature-engineering model-building model-prediction model-testing numpy ols-regression p-value pandas python regression-plot rsquare-values seaborn simple-linear-regression smf statsmodel t-score
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https://github.com/amirali5/numpy
In this repo, all about NumPy which basically a Python Library used for multidimensional array. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy was created in 2005 by Travis Oliphant. It is an open source project and you can use it freely.
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csv-files data data-visualization dataanalysis matplotlib numpy pandas python seaborn
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https://github.com/sjain2580/simple-linear-regression-model
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https://github.com/padmavathi2905/machine-learning-projects
Sentiment and Regression Analysis
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https://github.com/pramodyasahan/grade-predictor
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https://github.com/tinaland101/credit-risk-classification
The purpose of this project is to build a credit risk classification model using machine learning techniques. This model helps identify the creditworthiness of borrowers based on historical lending data. Specifically, it uses a logistic regression model to predict whether a loan is healthy (0) or high-risk (1).
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https://github.com/tsar123/coffee-quality-analysis
machine learning using RandomForestRegressor and dataset with coffee data
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https://github.com/rijul007/smartwatch-data-analysis-using-python
Smartwatch Data Analysis to uncover insights into health and activity patterns using Python for data cleaning, exploratory analysis, and interactive visualizations.
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Triple Triad Card maker for a game inspired by Final fantasy
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https://github.com/fikri-rouzan/data-science-mathematics
Proyek implementasi perhitungan matematika untuk klasifikasi probabilistik Naive Bayes serta eksperimen statistik A/B testing pada sistem rekomendasi dan pengembangan perangkat lunak.
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This interactive Power BI dashboard provides a comprehensive analysis of sales data across regions, categories, and time periods. The project aims to uncover key trends in total sales, profit, quantity sold, and product performance, using advanced visualizations and forecasting techniques. 🛠 Tools & Techniques Used: Power BI
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Egy python nyelvi elemekkel fogallkozó kurzus jegyzete.
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"A comprehensive project on Credit Card Fraud Detection combining Exploratory Data Analysis, Machine Learning, and an interactive Streamlit web app for real-world applicability."
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Python library to convert text dataset into arrays.
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Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️
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https://github.com/surayasumona/ford_used_car_analysis
Explanatory Data Analysis with Python
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https://github.com/amandeep-gupta19/chatbot
Created a custom chatbot using Langchain. Here's a summary of what I did: Data Extraction: I gathered data about technical courses from the Brainlox website using Langchain’s URL loaders. Embedding Creation & Storage: I converted this data into embeddings and stored it in a vector store for efficient searching. API Development: I built a Flask
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https://github.com/adi3042/diamond-price-prediction
🔮💎 Explore the Diamond Price Oracle! Predicting diamond values based on your preferences and market trends. Your ultimate tool for informed decisions in the diamond world. Join us for the future of pricing! 💎✨🚀 #DiamondPredictor
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https://github.com/lmizner/cs249_datasciencefundamentals
Course work from UCLA's CS249 - Data Science Fundamentals
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https://github.com/quarkgluant/analyse-visualisation-data-with-python
French Udemy Course "Analyse et visualisation de données avec Python" on Numpy, Pandas and MatPlotLib Python's librairies
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https://github.com/niteshchawla/netflix-case-study
Analyze the data and generate insights that could help Netflix ijn deciding which type of shows/movies to produce and how they can grow the business in different countries
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Data Analysis
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https://github.com/prithvi45/machine-learning-prerequisites
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https://github.com/aathithya-shanmuga-sundaram/cyber-threat-intelligence-dashboard
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ML modelling of dust recovery from HVAC filters: Linear Regression vs. XGBoost - Project Milestone: 2017-2020.
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Introduction to Machine Learning
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https://github.com/ashraf-khabar/bank-marketing-data-analysis
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https://github.com/lexxai/goit_python_ds_hw_03
Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.
latex linear-regression matplotlib numpy pandas python scikit-learn
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https://github.com/abdullahashfaqvirk/SMS-Spam-Detection
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https://github.com/amruta33/melanoma-detection
To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.
keras machine-learning numpy pandas python3 sckiit-learn tensorflow
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https://gitlab.com/DLR-SY/beos
Beos is a legacy Fortran tool used to calculate the static and dynamic buckling behavior of flat/curved fiber composite structures.
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https://github.com/chandkund/loan-eligibility-prediction
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data-analysis labs. 50/50 made with Oleh Tonkoshkur
numpy pandas python3 scipy-stats
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https://github.com/shailikadakia/yoga-pose-accuracy-detector
Real-time yoga pose accuracy detector using MediaPipe and OpenCV. Classifies poses from webcam input with KNN and provides feedback on duration and accuracy, built with Python and scikit-learn.
computer-vision fitness health-tech knn machine-learning mediapipe numpy opencv pandas pose-estimation python real-time-detection yoga
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https://github.com/sukanyadutta52/topic_modeling
What are the most pressing concerns regarding ‘Climate Change’ among tweeters according to Topic Modeling?
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https://github.com/balajig-24/titanic_data_analysics-
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https://github.com/nas-research/knowledge-model
Our knowledge system systematically ingests, processes, and indexes open-access life science publications. It supports internal research by providing precise question-answering and efficient retrieval from a continuously updated repository of scientific literature
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https://github.com/maliksaqib786/codealpha_projectname
IRIS CLASSIFICATION | Internship Project at Code Alpha
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Recommendation System
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https://github.com/ledsouza/medphys-bi
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https://github.com/kylehperez/mushroomnet
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https://github.com/ankitsharma-tech/classification-of-arrhythmia-using-ecg-data
A machine learning project to detect and classify arrhythmias from ECG signals using Python, scikit-learn, and TensorFlow. Includes data preprocessing, model training, and evaluation.
arrhythmia biomedical-signal-processing cardiology classification deep-learning ecg ecg-classification healthcare machine-learning mit-bih-dataset numpy python scikit-learn scipy signal-processing tensorflow time-series-analysis
Last synced: 07 Apr 2026
https://github.com/somenath203/loan-status-prediction-backend
Click below to visit the swagger docs of the website
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https://github.com/semasuka/saitproj
BMW service recommender system
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https://github.com/vedikasnehil/my-data-science-projects
This repository is a comprehensive collection of resources and implementations dedicated to the field of Data Science. It serves as a platform for exploring various aspects of data science, ranging from data preprocessing and exploratory data analysis (EDA) to machine learning and deep learning.
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An AI model that can classifier uploaded images
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https://github.com/patilsukanya/p01.matplotlib-seaborn-titanic-dataset-visualization
Used libraries and functions as follows:
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Predictive analytics case competition project from the Master of Science in Business Analytics course at the College of Business, University of Louisville. Our team analyzed customer response trends for Gourmet Haven, developed a predictive model, and ranked in the Top 5 out of 25 teams.
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https://github.com/jpgiant/nyc_energy_prediction
A comprehensive code for predicting energy usage in NYC using Machine Learning Algorithms.
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https://github.com/izhaan0/predict-marks-based-on-study-hours
Student Marks Predictor is a machine learning project that predicts a student’s exam scores based on the number of study hours. It uses Linear Regression to learn the relationship between study hours and marks, and provides both command-line and interactive Streamlit web interfaces for prediction and visualization.
data-visualization joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib-pyplot numpy pandas pandas-dataframe pickle python scikit-learn seaborn
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https://github.com/hanannazri/predictive-customer-churn-modelling-with-price-sensitivity-insights-
As a part of BCG Data Science Project, I developed a predictive churn-risk model for XYZ energy utility by engineering price, consumption and contract features and training XGBoost and Random Forest models to identify customers most likely to churn at current prices.
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https://github.com/jonad/customer_segment
Creating customer segments using unsupervised machine learning algorithm.
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https://github.com/ahmedabdalkreem/naive-bayes
Show what types of naive-bayes and how to use model and deal with data ( Numerical, Categorical and Mixed between Numerical and Categorical )
Last synced: 10 Apr 2026
https://github.com/headless-start/yolov4-tiny-raspberrypi
This repository contains YOLOv4-Tiny deployment on Raspberry pi.
darknet edge numpy object-detection opencv powerpoint python-3 pytorch raspberry-pi tensorflowlite yolov4 yolov4-darknet yolov4-tiny
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https://github.com/erikaax08/numerical_methods
This repository hosts the project developed for the Numerical Methods class at the Benemérita Universidad Autónoma de Puebla (BUAP)
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https://github.com/ialam085/super_store_sales_analysis_python
The project is indeed focused on performing an exploratory data analysis (EDA) of Super Store Sales data from various perspectives, using comprehensive visualizations.
charts matplotlib numpy pandas python seaborn visualization
Last synced: 10 Apr 2026
