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/yanyan69/acss-techlaro
arduino-uno automation numpy opencv prototype python raspberry-pi raspberry-pi-camera ultralytics yolo
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https://github.com/varun-khorgade/salesense-e-commerce-analytics
Analyzed e-commerce datasets to discover customer behavior trends and business insights. Performed EDA, data cleaning, and visualizations to help stakeholders make data-driven decisions.
customer-behavior-analysis dashboards datacleaning exploratory-data-analysis feature-engineering jupyter-notebook matplotlib numpy pandas python seaborn sql time-series-trend visulaization
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https://github.com/dwade-eng/amazon-product-recommender-prototype-
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html numpy pandas python3 scikit-learn
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https://github.com/rock12231/data-science-using-python-jupyter-notebook
Data Science Using Python Jupyter Notebook
data-science jupyter jupyter-notebook numpy pandas python
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https://github.com/anshpg/popularity-based-book-recommendation-system
I developed a popularity-based book recommendation system using Google Colab, leveraging libraries like pandas, numpy, and matplotlib. The dataset was obtained from Kaggle.com, consisting of three CSV files: books.csv, ratings.csv, and users.csv.
collab csv kaggle-dataset matplotlib-pyplot numpy pandas python
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https://github.com/robinhosz/traffic-data-analyzer
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data-analysis-python kaggle-dataset numpy pandas python traffic-analysis
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google-colab matplotlib numpy pandas python pytorch timm
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This repository contains helpful guides and materials for easily understanding Pandas, NumPy, and Matplotlib libraries, which are essential tools for creating visual representations of data.
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Analyze Zomato restaurant data all the world and find the insights by using Python libaries and also visualize the dataset by using Power-bi
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https://github.com/chandkund/predicting-student-grades
This project predicts student grades (G1, G2, G3) based on various features such as demographic information, study habits, family background, and other academic factors. The aim is to develop a predictive model that can assist in identifying students who may need additional support.
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Project consists to analyse a publicly available movie dataset found in https://www.kaggle.com/beyjin/movies-1990-to-2017 and use Python tools like Pandas in order to get some initial insights about the dataset and finally proceeding to clean, transform and save a new version of the dataset in a better structure thinking about storing the data in a database.
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Contains self-implemented Machine Learning algorithms using only numpy.
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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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Sentiment and Regression Analysis
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https://github.com/tinaland101/credit-risk-classification
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Machine Learning Basics: From Setup to Clustering
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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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Prerequisite test for the Machine Learning course ES654
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https://github.com/ddeepanshu-997/datascience-e-commerce-shopping-details-
in this project i am going to apply data preprocessing technique on the dataset in order to clean the data using libraries, etc. make some insights/analyses to findout the hotpicks of the shopping along with some data visualsation libraries to get the trends and many more aspects in order to make a small contribution to the field of data science
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matplotlib numpy pandas python sckiit-learn seaborn
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Using knowledge of data analysis to interpret data about endangered animals for the National Park Service
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face-recognition numpy opencv pandas python-3
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https://github.com/eryks1999/titanic-project
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Python private lesson
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Finding pattern of bought objects through market basket analysis
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Education material for learning/teaching of Linear Progrmming using Barrier Method. Presentation with commentary and python code available.
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https://github.com/dhanish03/credit_card_fraud_detection
Developed and implemented an advanced CCFDS using ML algorithms and pattern recognition techniques. Integrated real-time monitoring and adaptive learning capabilities into the system to dynamically adjust fraud detection parameters, ensuring effectiveness in identifying emerging fraud patterns.
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https://github.com/liannekiarra/university-dissertation
Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems
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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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Introduction to Data Science Tools(Python)
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Fundamentals of Scientific Computing (MS1980) Notebook
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Build a machine learning model for sentimental analysis using NLTK.
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An artificial neural network implemented from scratch using numpy only.
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https://github.com/lipskiyp/trading_dashboard
Pandas framework to analyze financial time-series and calculate various performance metrics (e.g. Sharpe Ratio and Max Drawdown Duration).
financial-analysis numpy pandas
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https://github.com/gsaini/streamlit-ui-getting-started
Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!
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https://github.com/navindafernando/character-recognition
Sinhala Character Recognition using KNN :coffee:
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https://github.com/vadimkantorov/fasttsv
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Particle Movement Using Curl Noise
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https://github.com/chethannazre/railway-track-obstacle-detection-system
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https://github.com/fandredev/ml-my-guide
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Image processing python code
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https://github.com/ebrahimar/ai-voice-cloner-xtts-v2
A Streamlit web app for AI-powered voice cloning using Coqui XTTS v2. Record or upload reference voices, clone speech in multiple languages, and generate natural audio outputs.
ai-voice coqui-tts deep-learning json multilingual-tts numpy pydub python speech-synthesis streamlit text-to-speech tts-model voice-cloning xtts-v2
Last synced: 03 May 2026
https://github.com/crispengari/numpy
💎 The core concept of numpy arrays
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Last synced: 03 May 2026
https://github.com/katerynazakharova/machine-learning
Example of a ML algorithm.
gradient-boosting-classifier gridsearchcv machine-learning ml numpy pandas python3
Last synced: 03 May 2026
https://github.com/shreenidhi7700/auto_price_prediction
We are required to use Machine Learning algorithms to predict the price of cars with the available independent variables such as Horsepower, no-of-cylinders, engine-type, city_mpg, highway_mpg etc.
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Last synced: 04 May 2026
https://github.com/vviveksharma/barcodescanner
The Bar Code scanning Application built using Computer Vision library such as Opencv in python the main objective of the project is to read the barcode that is being shown in the camera and decoding it and telling if the Database or Text file that is attached to it has that permitted decoded number if yes then it shows "Permitted" is green else "Not-Permitted" in red
Last synced: 10 May 2026
https://github.com/pramodyasahan/binary-classifier
This repository houses the code for a machine learning model designed to predict customer churn. The model is built using Support Vector Machine (SVM) from the scikit-learn library and incorporates preprocessing, pipeline, and grid search techniques for optimal performance.
Last synced: 03 May 2026
https://github.com/1adityakadam/computer-vision-approach-for-quality-inspection-of-steel-sheets
Machine Learning and Computer Vision project improves steel defect inspection using computer vision. A segmentation technique partitions steel sheet images into regions, enabling better defect analysis. U-Net is used for segmentation, and MobileNetV2 for classification. Performance is evaluated with the Dice Coefficient.
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Last synced: 10 May 2026
https://github.com/broodhoney/titanic-ml-from-disaster
This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data
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https://github.com/alvii147/discretetimelib
Python library for analysis of discrete time signals and systems
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https://github.com/takana671/noisetexture
Generating noise texture images.
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https://github.com/nicolashaubricht/analise-dados-pib-per-capita
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Last synced: 03 May 2026
https://github.com/yanglr/mlnotes-python
Machine learning Notes for Python 3 (NumPy, TensorFlow etc.), with interactive Jupyter notebook.
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https://github.com/huzaifa12466/neuralnetscratch
A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset
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Last synced: 23 Jun 2026