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/syedzaheerabbas/risk-analytics-with-python
This project focuses on developing a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.
eda hypothesis-testing numpy pandas python risk-analysis seaborn
Last synced: 17 Apr 2026
https://github.com/ricobuilds/ml-roadmap
Opinionated roadmap to machine learning in 2023
conda huggingface machine-learning matplotlib numpy pandas python pytorch
Last synced: 06 Mar 2026
https://github.com/gauravtrivedi967/lane_detection
Lane detection and tracking are the advanced key features of the advanced driver assistance system. Lane detection is the process of detecting white lines on the roads. In this we I have used prebuild models for the development of the code
ipython-notebook numpy python thresholding
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https://github.com/defi0x1/facial-expression-recognition
Facial-Expression-Recognition Using CNN
cnn data-augmentation facial-expression-recognition numpy tensorflow
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https://github.com/kheriberto/knn_project
This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.
data-analysis knn-classifier numpy python scikit-learn seaborn
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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/iamwatchdogs/cardiovascular-risk-prediction
This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.
jupyter-notebook machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/broodhoney/blue-book-for-bulldozers
This repository holds the project which solves a regression problem on predicting the futures sales of bulldozers. This is from a kaggle competition.
matplotlib numpy pandas python scikit-learn
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https://github.com/satyas567/weatherdataanalysis
Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed
jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/pranavv34/customer-segmentation
Predictive modeling and customer segmentation project using neural networks to forecast sales and categorize customers for targeted marketing in the online retail sector.
keras matplotlib numpy pandas python seaborn sklearn tensorflow
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https://github.com/niteshchawla/clustering-ml
Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.
cluster-analysis clustering hierarchical-clustering k-means-clustering machine-learning numpy pca-analysis visualisation
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https://github.com/ola-kaznowska/-image-processing
Image Processing
ai artificial-intelligence cv2 math numpy python
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https://github.com/ledsouza/curso_de_estatistica_parte_4
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https://github.com/renan-siqueira/reinforcement-learning-cart-pole
This repository provides implementations of a Q-learning agent to balance a pole on a cart.
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https://github.com/prashver/end-to-end-model-deployment-on-aws
Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.
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https://github.com/arjunravi26/sentimental-analysis
Sentimental Analysis Project
gensim nltk numpy pandas scikit-learn tensorflow word2vec
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https://github.com/raduldev/ibm_capstone_final_project
IBM Data Science Professional Certifcate Capstone Project
api arcgis-api folium-maps foursquare-api ibm-watson jupyter-notebook matplotlib numpy pandas python3 sklearn
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https://github.com/viniciusdsandrade/discount-decider-with-python
discount numpy optimisation python
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https://github.com/cosmicsid004/air_draw
Digital drawing....
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https://github.com/omjaju18/market-trend-analysis-using-ml-lstm-model
Market Trend analysis using LSTM Model. Use Jyputer Notebook .
lstm-neural-networks machine-learning machine-learning-algorithms numpy pandas python
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https://github.com/tharushi11/titanic-data-analysis
This repository contains a simple prediction model and survival predictions based on the Titanic dataset from Kaggle, along with detailed visualizations using Power BI.
dax machine-learning numpy pandas powerbi sklearn titanic-survival-prediction visualization
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https://github.com/lmizner/codecademy_nba_trends
Investigate whether there is an association between two variables
chi2-contingency jupyter-notebook matplotlib numpy pandas pearson-correlation pyplot python seaborn
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https://github.com/sofiakhutsieva/analytical_report_for_producers_of_educational_programs
Подготовка аналитического отчета (Проект в skillbox )
analytics matplotlib numpy pandas seaborn
Last synced: 17 Apr 2026
https://github.com/quinnphil/math-for-programmers
Work-alone code for Math for Programmers book by Paul Orland
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https://github.com/kaushik-puttaswamy/exploratory-data-analysis-using-python
This project applies Exploratory Data Analysis (EDA) using visualizations like box plots, scatter plots, and correlation matrices. It helps identify patterns, select ideal functions via least squares error, and map test data while evaluating deviations.
bokeh expolatory-data-analysis matplotlib numpy pandas python seaborn sqlalchemy
Last synced: 17 Apr 2026
https://github.com/smartpottech/smartpot-datagenerator
SmartPot-DataGenerator simulates environmental and plant data (temperature, humidity, luminosity, pH, TDS, soil moisture) for hydroponic garden management. This data is used for testing, analysis, and visualization in the SmartPot web portal, helping optimize plant care without actual hardware sensors.
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https://github.com/mugambi645/classify-song-genre-from-audio-data
Classify song genres using supervised learning models & PCA for dimensiality reduction
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https://github.com/jjwizardmp/a-start-search-python
Python project where the 'A Start Search' algorithm and a simulation of the agent's path with animations were implemented.
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https://github.com/macnianios/retail_sales_analysis
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https://github.com/sadegh-khedry/comments-sentiment-analysis
text classification on comments using an ANN model.
collections deep-learning keras nlp numpy pandas python sentiment-analysis sklearn spacy unicodedata
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https://github.com/abhijeet107/superstore-sales-data
Many more to come stay tune
matplotlib numpy pandas python3 seaborn-python
Last synced: 17 Apr 2026
https://github.com/prcharan592/social-media-sentiment-analysis
Social media sentiment analysis using tweets involves analyzing tweet data to determine public sentiment (positive, negative, or neutral) using natural language processing (NLP) and machine learning techniques.
data-visualization machine-learning matplotlib nlp nltk numpy pandas python3 sentiment-analysis spacy tweets
Last synced: 04 Apr 2026
https://github.com/jinhx128/data_analysis
基于Matplotlib+Numpy+Pandas搭建的数据分析项目。
matpolotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/yuvrajsaraogi/sales-prediction-using-python
Sales prediction involves estimating future product sales based on factors like advertising spend, target audience, and platform. Businesses rely on data scientists to forecast sales and optimize advertising costs. Machine learning in Python can be used for this task.
data data-analysis data-science data-visualization machine-learning matplotlib natural-language-processing numpy pandas prediction python sales-prediction-using-python sql
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https://github.com/lexxai/goit_python_ds_hw_01
GoIT, Python Data Science, Homework number 1.
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https://github.com/yassin522/music-genre-classification
This repository is dedicated to the Music Genre Classification project, an endeavor that leverages machine learning techniques to accurately classify music into various genres
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Last synced: 04 Apr 2026
https://github.com/andryadsm/predicting-house-prices
🏘️ Project Predicting House Prices (Python)
data-analysis data-preprocessing data-visualization feature-engineering house-prices machine-learning matplotlib numpy pandas python real-estate seaborn sklearn
Last synced: 04 Apr 2026
https://github.com/thoughtscript/python_api_2023
Some fun with Flask, Python, and Machine Learning
angular docker docker-compose flask machine-learning mysql numpy
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https://github.com/arnoldchrisoduor1/potato_disease
Trained a CNN to detect the presence and the current stage of Blight disease in potatoes, WebApp in FastAPI and React
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Last synced: 04 Apr 2026
https://github.com/kasraskari/python-for-data-science
Foundational concepts and libraries for data science with Python.
data-science jupyter-notebook matplotlib numpy pandas python scipy
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https://github.com/pedroteixeiraw/variational_quantum_circuit_binary_classification
This project focuses on developing a Variational Quantum Circuit capable of performing Binary Classification between two classes: red wine and white wine, based on their characteristics using machine learning.
binary-classification cost-function json machine-learning matplotlib numpy pandas qiskit qiskit-machine-learning quantum-machine-learning scikit-learn training-data variational-circuit
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https://github.com/alainlebret/python-et-ia-1
Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN
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https://github.com/yashsonaar/machine-learning-tasks
This repository has machine learning tasks which include classification, recommendation system, fraud detection system
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https://github.com/ccolpasm/pageviewanalyzer
PageViewAnalyzer analyzes and visualizes time series data of forum visits (2016-2019). It uses Pandas, Matplotlib, and Seaborn to create line plots, bar charts, and box plots, highlighting trends, monthly averages, and seasonality in page views. Perfect for data exploration with Python.
data-science matplotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk
OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.
accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
Last synced: 18 Apr 2026
https://github.com/sundanc/weatherprediction
This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month
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Last synced: 18 Apr 2026
https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022
Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.
catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap
Last synced: 18 Apr 2026
https://github.com/ricardorobledo/spamemailclassification
Spam email classification using machine learning (Random Forest, SVC, Logistic Regression, etc.) with data balancing techniques (SMOTE, BorderlineSMOTE, ADASYN). Final calibrated Random Forest model achieves ROC-AUC 0.982 and PR-AUC 0.979 on the Spam Email Classification dataset.
imbalanced-data imbalanced-learning numpy pandas python3 sklearn
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https://github.com/ricardorobledo/next_level_data_science
matplotlib numpy pandas python3 scikit-learn
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https://github.com/abideen-olawuwo/converted-docker
Deploy converted model into docker
docker dockerfile flask matplotlib numpy pandas-library pickle pipfile requests sklearn
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https://github.com/dyceszn/i.duruohacos102
First-year deep dive into problem-solving with Python—featuring class practices and projects using NumPy, Pandas, Tkinter, and psycopg2.
Last synced: 18 Apr 2026
https://github.com/jeet1995/brain-corp-robot-scan-filter
argparse numpy python shell-script unittest
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https://github.com/ayushmaan-xd/exploratory-spotify-data-analysis
Exploratory Spotify Data Analysis is a project where I analyzed Spotify’s music dataset to uncover trends in audio features and song popularity. Using Python and data visualization tools
jupyter-notebook matplotlib numpy pandas python seaborn spotify-dataset
Last synced: 18 Apr 2026
https://github.com/ashithapallath/feature-engineering
This repository contains a range of examples and techniques for feature engineering, aimed at improving dataset quality and boosting model performance. It covers essential methods such as Exploratory Data Analysis (EDA) and Interquartile Range (IQR) analysis for detecting and handling outliers.
exploratory-data-analysis feature-engineering iqr-method matplotlib numpy outlier-detection pandas python seaborn
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https://github.com/amrutha-vm0407/deepavali-sales-exploratory-data-analysis
Data Analysis Project for Beginners
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https://github.com/alexkhype/04python-carpricepredictor
Modelo de machine learning para predecir el valor de mercado de autos usados, optimizando precisión y eficiencia.
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Last synced: 05 Apr 2026
https://github.com/jai0212/ai-virtual-painter
Real time finger and object painting using advanced computer vision technology with custom hand gestures and customizable colours
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Last synced: 05 Apr 2026
https://github.com/merekat/ml-shortcut-library
A Visual Studio Code shortcut library designed to simplify and accelerate machine learning development.
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Last synced: 05 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_04
Модуль 4. Класифікація та оцінка роботи моделі. Лінійна регресія: перенавчання та регуляризація
lasso-regression linear-regression numpy pandas python red regression ridge-regression scikit-learn
Last synced: 05 Apr 2026
https://github.com/perpendicooler/elementary-research-for-steamboat-willie-s-store-in-poland
An elementary research for a company to opening store in a city using gurobi and pulp optimization.
christofides-algorithm gurobipy numpy pandas pulp python3 scikit-learn travelling-salesman-problem
Last synced: 05 Apr 2026
https://github.com/paulo-santos-ds/visao_computacional
O sistema utiliza inteligência artificial para analisar documentos e características físicas dos visitantes, garantindo que apenas maiores de 18 anos possam acessar as áreas de jogos
keras numpy pandas plotly python restnet50 sklearn tensorflow
Last synced: 05 Apr 2026
https://github.com/faraazarsath/guvi-task-4
This repository contains Python scripts for assessing and categorizing student performance data from two CSV files. The tasks include categorizing students based on their CodeKata scores.
data-visualization matplotlib numpy pandas
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https://github.com/somenath203/skin-lesion-segmentation-opencv
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https://github.com/ayu-ano/basic_object-detection
End to End Basic object Detection using Open CV
background-substraction-algorithm cv2 masking math mixture-of-gaussians numpy python3
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https://github.com/noopur-phadkar/botnavigator
BotNavigator utilizes the A* (A-Star) algorithm for pathfinding, leveraging Python along with libraries such as Matplotlib and Numpy for efficient array operations and visualization. This innovative solution optimizes robotic navigation within warehouse environments, enhancing operational efficiency and scalability.
a-star-path-finding matplotlib numpy pathfinding-algorithms python robotics
Last synced: 18 Apr 2026
https://github.com/autokmg/ai-foundations
Practice exercises related to the Foundations of Artificial Intelligence university course. The code examples are designed to help students gain a deeper understanding of these topics and to prepare for exams and assignments. The repository is open to contributions from other students.
Last synced: 18 Apr 2026
https://github.com/rhazra-003/modelinglab
Assignment - Solution of Modeling Lab of 7th Semester (Batch of 2023) of NIT Durgapur
jupyter-notebook matplotlib-pyplot numpy pandas python3 shapely
Last synced: 19 Apr 2026
https://github.com/nabilshadman/python-classification-and-generative-models
Applications of classification and generative models with Python
classification data-science data-visualization generative-model machine-learning matplotlib numpy pandas scikit-learn
Last synced: 19 Apr 2026
https://github.com/jcardonamde/reto_cobranzas_sector_financiero
This project analyzes data provided by the organization iData, focusing on the collection process of a financial company. The objective is to develop segmentation strategies that enhance portfolio recovery and improve debt management.
data-science kmeans-clustering machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn
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https://github.com/mwoss/opencv-raspberry-pi
Video capture on Raspberry Pi/PC using OpenCV
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https://github.com/simonusher/multi-layer-perceptron
My solution to an assignment on multi-layer perceptron. Implemented in python and numpy. Contains the forward and backward pass code, as well as some utility functions.
multi-layer-perceptron neural-network numpy python
Last synced: 19 Apr 2026
https://github.com/crazy-dot/zomato-data-analysis
This project analyzes 50k Bengaluru restaurants from Zomato, focusing on 17 features like location and ratings. It cleans, explores, and visualizes data to improve services. Key visualizations include delivery, booking, location, and cost. The goal is to provide insights for better customer experiences.
data-cleaning-and-preprocessing data-manipulation-with-pandas inferential-statistics kaggle-dataset numpy pandas-python python zomato-data-analysis
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https://github.com/renukadhule/airbnb_listings_and_reviews_python_analysis
Explore Airbnb listings and reviews from over 250,000 properties across 10 major cities. Dive into data on listing details, host information, pricing, and customer reviews for better insights
matplotlib-pyplot numpy pandas python seaborn
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https://github.com/shreeya-methuku/predictive_analysis
This project leverages machine learning to perform time-series forecasting on key financial metrics, including sales (income), expenses, cash flow, and profit.
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https://github.com/vyjayanthipolapragada/car_mileage_prediction
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https://github.com/prahaladhchandrahasan/housingprices_adavanced_regression
A machine learning model for "House Prices: Advanced Regression Techniques" kaggle competition.
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https://github.com/saurabh9136/data-analysis_using_pandas-numpy
A beginner-friendly repository exploring data analysis using NumPy and Pandas. Covers fundamental operations, data manipulation, and real-world dataset analysis.
data-analysis-python numpy pandas python scipy
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https://github.com/prithvikings/zomato_data_anaysis
This analysis provides insights into customer preferences and restaurant performance on Zomato. The visualizations and findings can help Zomato make informed decisions to improve customer experience and tailor their offerings.
matplotlib numpy pandas python seaborn
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https://github.com/mohamedezzeldeenhassanmohamed/human_computer_interaction_task
control Volume using gesture of hand
camera computer computer-vision distance-calculation gesture hand hci human human-computer-interaction interaction machine-learning mediapipe numpy opencv pycaw pyth volume-control
Last synced: 20 Apr 2026
https://github.com/jbalooshie/school_district_analysis
Analysis of standardized testing results using NumPy and Pandas, executed in Jupyter Notebook. Summaries of the testing results are provided based on school, test type, and grade level.
data-analysis data-science dataframes jupyter-notebook numpy pandas python
Last synced: 20 Apr 2026
https://github.com/vtorres09/projetomonitoriaip
📋 Data analysis of a dataset created to select students to be teacher assistant (Introduction to Programming).
numpy object-oriented-programming pandas python
Last synced: 20 Apr 2026
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https://github.com/who-else-but-arjun/pyspyce-cs
Circuit Simulator for R, L, C components and AC/DC voltage and current sources built using python as a part of EE204 circuit theory course project.
circuit-simulator numpy python streamlit sympy
Last synced: 20 Apr 2026
https://github.com/vyjayanthipolapragada/image_cartoonification_opencv
Cartoonify images using opencv and tkinter
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Last synced: 20 Apr 2026
https://github.com/girishkolhe/lendingclubcasestudy
data-science data-visualization eda matplotlib numpy pandas-dataframe python seaborn
Last synced: 20 Apr 2026
https://github.com/abyss-s/data-analysis-project
[컴퓨팅사고와 데이터분석 기초] 최종 프로젝트 (2024-1)
matplotlib numpy pandas python sckiit-learn
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https://github.com/zombietdv/n_gram-model
n_gram model implementation with numpy only
Last synced: 21 Apr 2026
https://github.com/souvikmajumder26/neural-network-from-scratch
🚀 Building a simple Neural Network to classify the images of the Fashion-MNIST dataset, using only numpy and no TensorFlow, Keras, or PyTorch.
config fashion-mnist logger neural-network neural-network-from-scratch notebook-jupyter numpy project python
Last synced: 21 Apr 2026
https://github.com/aleklukanen/systemsofsprings
This repository contains a few helpful pieces of Python code that can be used to compute time dependent positions of springs in 2 and 3 dimensions.
finite-element-methods finite-elements jupyter-notebook numerical numpy python
Last synced: 21 Apr 2026
https://github.com/danpoynor/pet-shelter-data-analysis-notebook
Demonstration of skills analyzing data from a pet shelter. The CSV data contains tables detailing the incoming and outgoing animals and I use my knowledge of Pandas to gather and present the requested information.
csv data-analysis data-cleaning data-science jupyter-notebook matplotlib numpy pandas pet-shelter tabular-data
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https://github.com/amaldevh/py-method-profiler
Profile Python methods without changing your code
benchmarking numpy performance performance-analysis profiling python statistics timing wrapper
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https://github.com/star2dust/numpy-notes
A tutorial to learn numpy and matplotlib.
Last synced: 16 Jun 2026