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/batrick-swaistan/nalaiya_thiran
Nalaiya Thiran IBM Course Training
matplotlib numpy pandas-dataframe python
Last synced: 05 May 2026
https://github.com/pyladiesams/python-oss-sprints-mar2024
Sprints to contribute to the most popular data and AI Python OSS libraries
conda dask geopandas jupyter matplotlib numpy pandas pymc sklearn
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https://github.com/pramodyasahan/cifar-10-object-recognition
This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.
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The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.
data datacleaning eda excel jupyter-notebook matlplotlib numpy pandas python seaborn visualization
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https://github.com/dulajkavinda/fashion-classification
👗 classify fashion items using machine learning
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https://github.com/ayushdutta-ai/face-recognition-model
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https://github.com/nkamilla/titanic-eda
Exploratory Data Analysis of the Titanic dataset using Python (Pandas, NumPy, Matplotlib). Includes data cleaning, visualizations, correlations, and key business insights.
data-analysis eda jupyter-notebook matplotlib numpy pandas python titanic-dataset
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https://github.com/kalwalt/pybind-test
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https://github.com/romanectatyana/fuel_norm
Practical data analytics case: calculating and optimizing fuel consumption norms for vehicles and heavy equipment. (Аналітичний проєкт із визначення норм витрат палива для автотранспорту та спецтехніки.)
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https://github.com/eshansugeesh/fico-score-loan-default-modeling-project
Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.
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This project implements a spam email classifier using Logistic Regression.
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https://github.com/5hraddha/optimize-oil-well-locations
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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Data visualization using Python
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Mathematics
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https://github.com/christiansassi/signal-image-and-video-project
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https://github.com/swapnilvishwakarma/twitter_sentiment_dashboard
Using Streamlit and Python, I created interactive data dashboards and used Pandas to manipulate data in data science workflows. I also used Plotly to create interactive graphs.
dashboard machine-learning matplotlib numpy pandas plotly sentiment-analysis streamlit-webapp webapp wordcloud
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https://github.com/kumar-o/customer-churn-prediction
🔍 Predict customer churn using a synthetic dataset with advanced models and metrics to enhance business retention strategies and decision-making.
churn-prediction customer-churn-prediction customer-survival-analysis data-science factorization-machines flask-application gridsearchcv libsvm machine-learning model-evaluation numpy pipelines roc-auc scikit-learn seaborn smote survival-analysis xgboost4j
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https://github.com/lunanvarg/bid-data-cac22039
En este repositorio se vé mi TP Integrador del programa Codo a Codo: Big Data
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Advanced Real Estate Valuation with Ensemble Regression Models
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https://github.com/harmanveer-2546/student-performance-in-exam
Student performance analysis and prediction using datasets has become an essential component of modern education systems. With the increasing availability of data on student, schools and universities are using advanced analytics and machine learning algorithms to gain insights into student performance and predict future outcomes.
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This is a Python project that performs tokenization, stop word removal, positional indexing, phrase query searching, term frequency-inverse document frequency (TF-IDF) calculation, cosine similarity computation, and document ranking.
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https://github.com/voorhs/ml-practice
ML algorithms implementation
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https://github.com/siddhantprateek/machine-learning-resources
Machine Learning Resources
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audio feature extraction
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https://github.com/dulajkavinda/breast-cancer-detect
🧬 breast cancer classification using machine learning
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https://github.com/aicorsair/python-case-study-ab-testing-for-lunartech-homepage-cta-button
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https://github.com/ai-ahmed/bda-and-ds
Dual Course: EMC2 Data Scientist & Big Data Analytics & IBM Professional Data Science Course
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https://github.com/ayushmankumar7/siamese-network-with-one-shot-learning
Implementation of this paper - https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf
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https://github.com/pointer2alvee/machine-learning-algorithms-scratch
Core Machine Learning concepts , algorithms & maths implemented completely from scratch using Python & numpy only.
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https://github.com/krishbharadwaj5678/gestureninja
Play Fruit Ninja using just your index finger with real time gesture tracking. No mouse, no keyboard — just your webcam and smooth slicing.
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Neural Networks to Predict Stock Prices
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https://github.com/pesala-x/data-science-ai-assessments
this is inClass practice application for Python-for-Data-Science-AI
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https://github.com/maxencebonamy/ascii-webcam
You can see yourself in real time through characters in a terminal. This project is an enhancement of another project which consists in converting an image to ASCII format, which allows, in a way, to compress it.
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This project involves basic data manipulation with JSON files, focusing on tasks related to data processing of the MASSive dataset and file management.
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https://github.com/bettenoch/yolo_real_time_object_detector
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https://github.com/ragnarok540/sympy-tutorial
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https://github.com/reddyprasade/bird-classifications-problem
Birds Classification by using Scikit-learn and Scikit-image
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https://github.com/azaz9026/python_library_numpy
NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices...
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https://github.com/chdl17/imdb-assignment
This GitHub repository contains a project that performs an analysis of the IMDb movie rating dataset. The data is used to explore the relationships between various features and the movie rating. Visualizations are used to illustrate the results of the analysis. The code is organized into a Jupyter Notebook file and data files.
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Stock Investment Analysis Project can help investor to select the better performing stocks.
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https://github.com/niteshchawla/nc-walmart-casestudy
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:.
central-limit-theorem confidence-intervals matplotlib-pyplot numpy pandas python scipy-stats seaborn stats
Last synced: 08 May 2026
https://github.com/rohansoni45/ipl-win-predictor
A machine learning model that predicts the outcome of IPL matches based on historical data and player performance. Built using Python and libraries like Pandas, NumPy, and scikit-learn. This project demonstrates the use of classification algorithms to predict match outcomes.
classification data-science ipl machine-learning model-evaluation numpy pandas python sklearn sports-analytics
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https://github.com/antonio-f/simple-k-nearest-neighbors
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https://github.com/0290192029/apartment-price-predictor
Python-проект по прогнозированию стоимости аренды квартир с помощью линейной регрессии. Практическая работа по теме: "Основы машинного обучения" дисциплины "МДК 13.01: Основы применения методов искусственного интеллекта в программировании".
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project for image processing class
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https://github.com/dhruwsunita/zomato-data-analysis-project
Zomato data analysis project using Python.
data-analysis data-visualization jupyter-notebook matplotlib numpy pandas-dataframe python
Last synced: 08 May 2026
https://github.com/daniel-brai/alx-t-x-udacity-data-analytics-nanodegree
A 3-month nanodegree going through the intricacies of data analysis with Python and its various libraries such Pandas, Numpy, matplotlib, seaborn and others
matplotlib numpy pandas python3
Last synced: 08 May 2026
https://github.com/saurabh274/aerofit-statistics-and-probability
The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.
matplotlib-pyplot numpy pandas probability python seaborn statistics
Last synced: 08 May 2026
https://github.com/shingiraibhengesa/house-price-predictor
A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.
machine-learning-models matplotlib numpy python scikit-learn seaborn
Last synced: 09 May 2026
https://github.com/raghavendranhp/predictive-analytics-in-automotive-manufacturing-testing-time-optimization
Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.
elasticnet extratreesregressor fastica model-pipeline numpy pandas pca randomforestregressor svr-regression-prediction xgboost
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https://github.com/dhruvv1402/x-twitter-bot-python
A Python-powered Twitter bot for content generation, analytics, and automation using Twitter API v2.
huggingface-transformers matplotlib nltk numpy pandas pillow python requests schedule textblob threading tweepy twitter-api wordcloud
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https://github.com/aliyahscoding/tiny-recommender
Tiny item-item recommender in Python using cosine similarity over a toy user–item matrix. Simple CLI to print top-N recommendations.
collaborative-filtering cosine-similarity numpy pandas python recommender-system
Last synced: 09 May 2026
https://github.com/flexthink/matricize
A convenience library to convert between pure Python objects and their vectorized representations
data machine-learning numpy python
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https://github.com/amr-yasser226/pagerank-power-method
Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.
discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy
Last synced: 09 May 2026
https://github.com/aroojzahra908/machine-learning
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.
algorithms machine-learning-algorithms matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/chuvalniy/tulia
Contains self-implemented Machine Learning algorithms using only numpy.
boosting from-scratch knn learning logistic-regression machine ml numpy python random-forest regression sklearn testing xgboost
Last synced: 09 May 2026
https://github.com/michaelzheng67/real_estate_ml
AI experiment developed to run against simulated real estate and investing environment
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https://github.com/dulajkavinda/numpy-ml
🔢 Calculations with NumPy library.
calculations jupyter-notebook machine-learning matrices numpy numpy-arrays python
Last synced: 09 May 2026
https://github.com/anker661/autograd-playground
A simple Numpy & Python based auto differentiation system that supports visualization before and after back-propagation.
auto-differentiation autograd computaion-graph jupyter-notebook numpy python3
Last synced: 09 May 2026
https://github.com/arjunravi26/selenium
This repository contains code from my learning about Selenium for web scraping and automation.
numpy python selenium time undetected-chrome webdriver
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https://github.com/tim-w-james/python-data-reference-code
Python reference code for data visualization, machine learning and SQL
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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.
computer-vision machine-learning numpy pandas unet-image-segmentation
Last synced: 10 May 2026
https://github.com/sahaavi/color-detection
Colour detection is the process of detecting the name of any color. Well, for humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy to detect color names.
color-detection color-detector numpy opencv-python pandas
Last synced: 10 May 2026
https://github.com/isratafrin826/linear-regression-ml-algorithm
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https://github.com/prateekrajsrivastav/question-answering-model
This project is an NLP-based Question-Answering System that leverages machine learning and natural language processing techniques to provide answers to user queries based on a given context or dataset. The system processes textual input, extracts meaningful insights, and returns relevant answers to the user's question.
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https://github.com/jupfu/beck-view-movie
Assemble mp4 video from list of images
multithreading numpy opencv python3 threadpool tqdm
Last synced: 10 May 2026
https://github.com/prakashjha1/email-sms-spam-classifier
Many email services today provide spam filters that are able to classify emails into spam and non-spam email with high accuracy.
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https://github.com/jjerphan/joml
A minimalist numpy-baked Neural Network API
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https://github.com/kartmaan/plotly-intervals
Group values from a Pandas Series according to given intervals and represent them graphically with Plotly
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https://github.com/m1-elmasry/quickmark
Efficient OMR software designed for quick and precise grading of bubble sheet exams.
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Last synced: 10 May 2026
https://github.com/anshpg/exploring-ipl-rivalries-an-analysis-of-matches-from-2008-to-2022
In this project, I delved into an extensive analysis of IPL matches spanning from 2008 to 2022, utilizing a dataset sourced from Kaggle.com. My aim for this IPL season was to explore something novel, steering away from conventional analyses.
csv-files ipl kaggle-dataset matplotlib numpy pandas
Last synced: 10 May 2026
https://github.com/sahil210695/convolution-evolution
This is to see how a kernel will convolve over an image and what will be its output after convolution
cnn convolutional-neural-networks data-science image-kernel image-processing numpy numpy-neural-network python streamlit
Last synced: 10 May 2026
https://github.com/jatin-s16/neuron_from_scratch
Hey! I am learning to build neural networks from scratch without the use of built-in Python libraries.
deep-learning neural-networks nnfs numpy python
Last synced: 10 May 2026
https://github.com/saagnik-mondal/chessengine
This is a simple and efficient chess engine implemented entirely in Python. It allows users to play chess against the computer, using an AI based on a Minimax algorithm with Alpha-Beta pruning for decision-making. The engine is designed to be easy to understand, extend, and play against the computer.
Last synced: 10 May 2026
https://github.com/shriansh2002/stock-prediction
This project predicts Apple stock prices using linear regression. It's based on historical stock price data and uses Python and popular data science libraries like Pandas, NumPy, Matplotlib, and scikit-learn.
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Last synced: 10 May 2026
https://github.com/iamfarrokhnejad/neural-network
A simple neural network without reliance on any NN library.
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Last synced: 11 May 2026
https://github.com/9bow/deep-learning-from-scratch
examples in the book
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Last synced: 11 May 2026
https://github.com/baschin1103/machine-learning-linear-regression-tsi
The model is the multiple linear regression loaded from scikit-learn. The aim is to create a model to forecast the so called Total-Skill-Index (TSI) of a player from hattrick.org. More information on: https://wiki.hattrick.org/wiki/Total_Skill_Index. In this repository is the programm and necessary data.
csv linear-regression machine-learning numpy pandas python statistics
Last synced: 11 May 2026
https://github.com/akashash01/decision_tree
A very specific type of probability tree that enables you to make a decision on certain process(chance event outcomes, resources cost, utility).
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Last synced: 11 May 2026
https://github.com/chaganti-reddy/heart_disease_prediction
Machine Model creation for Heart Disease Prediction
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https://github.com/parthds02/customer-segmentation-with-kmeans-clustering
Analyze customer behavior using Python and KMeans Clustering on transactional data. Features RFM analysis, data cleaning, clustering insights, and actionable visualizations to support business decision-making.
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Last synced: 11 May 2026
https://github.com/mihirh19/uber-analysis
Uber's 2016 dataset analysis offers insightful information about the company's operations and user behaviour. Patterns and trends can be discovered by looking at variables like trip time, distance travelled, and pickup/drop-off locations. Uber may use this information to detect high-demand locations, increase overall efficiency, and optimise driver
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Last synced: 11 May 2026