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/dsowles/miniproject1davidsowles2025
INF601 Mini Project 1
Last synced: 16 May 2026
https://github.com/jay6430/python-for-data-science
This Repository includes all the Python concepts that are necessary for Data science.
csv data-visualization datascience-machinelearning html-css ipynb-jupyter-notebook matplotlib numpy pandas python3 xml
Last synced: 04 Mar 2026
https://github.com/eckelsjd/copier-numpy
Template for a numpy-based scientific computing Python package.
copier-template numpy pdm python
Last synced: 05 Mar 2026
https://github.com/sudarshanasrao/ee559-machine_learning-usc
USC graduate level Machine Learning course
cnn keras machine-learning neural-networks numpy python scikit-learn scipy tensorflow
Last synced: 11 Apr 2026
https://github.com/supershivam5/python_projects
💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!
matplotlib-pyplot numpy pandas scikit-learn seaborn
Last synced: 17 Apr 2026
https://github.com/priyanshul28/ml_eda_regression_energyconsumptionforecasting
An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.
forcasting machine-learning numpy pandas scikit-learn time-series-analysis
Last synced: 17 Apr 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.
apple datascience finance linearregression machinelearning matplotlib ml numpy pandas prediction python scikitlearn stock-prediction stockmarket
Last synced: 10 May 2026
https://github.com/hansalemaos/npchessimage
Creates a chessboard pattern as an image.
Last synced: 05 Mar 2026
https://github.com/jimmymugendi/luxdev-week-2-boot-camp
correlation-analysis eda matplotlib numpy pandas seaborn-plots visualizations
Last synced: 07 May 2026
https://github.com/roluochke/real-estate-price-prediction-app
This is a data science project for a real estate price prediction website.
flask html-css-javascript jupyter-notebook matplotlib numpy python sklearn
Last synced: 09 Apr 2026
https://github.com/fyt3rp4til/anomaly-detection
dbscan-clustering isolation-forest local-outlier-factor matplotlib numpy sklearn
Last synced: 05 Mar 2026
https://github.com/arsalan-dev-engineer/ai-repository
A repository that contains AI related projects, notes, practice files and documentations.
ai algorith beginner-friendly data-analysis data-preprocessing developer jupyterlab matplotlib matplotlib-pyplot natural-language-processing numpy pandas python unsupervised-learning visualization
Last synced: 12 Apr 2026
https://github.com/ifimust/room_generator
Room generator service for 2D game levels
flask google-app-engine microservice numpy procedural-generation python
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https://github.com/neerajcodes888/a-novel-used-car-price-prediction-model-based-on-lindenoise
Welcome to the LinDenoise Repository! LinDenoise offers a smart solution for cleaning noisy data in regression tasks. Integrated seamlessly within the widely-used scikit-learn framework, it effortlessly enhances data quality while improving predictive accuracy
car-price-prediction deep-learning ipynb-notebook machine-learning numpy pandas python3 visualization
Last synced: 06 Mar 2026
https://github.com/athari22/classification-with-python
IBM Project
classification-algorithm decisiontree decisiontreeclassifier ibm k-nearest-neighbor knn knn-classification logistic-regression lr matplotlib ml numpy pandas python sklearn sklearn-library support-vector-machine svm svm-classifier visualization
Last synced: 09 Apr 2026
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
Last synced: 02 Apr 2026
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
Last synced: 02 Apr 2026
https://github.com/ola-kaznowska/-image-processing
Image Processing
ai artificial-intelligence cv2 math numpy python
Last synced: 17 Apr 2026
https://github.com/mnagaharshithrao/diamondpriceprediction
Diamond Price Prediction is a machine learning project that predicts the price of diamonds based on features like carat, cut, color, clarity, and more. Using models such as XGBoost, Random Forest, and Gradient Boosting, the project aims to accurately forecast diamond prices, helping buyers and sellers in the diamond industry make informed decisions
machine-learning numpy pandas sckiit-learn xgboost
Last synced: 17 Apr 2026
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.
artificial-intelligence gym-environment machine-learning numpy openai-gym pygame python qlearning-algorithm reinforcement-learning
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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.
amazon-web-services aws-elastic-beanstalk end-to-end-deployment flask machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn
Last synced: 02 Apr 2026
https://github.com/rakibhhridoy/predictingsequence-timeseriesanalysis
Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting data for model purpose is also different than other processing methods. All has combined for easy access.
forecasting functional-programming keras lstm lstm-neural-networks moving-average numpy python tensorflow time-series windowed
Last synced: 02 Apr 2026
https://github.com/pesala-x/data-science-ai-assessments
this is inClass practice application for Python-for-Data-Science-AI
data-types functions jupyter-notebook loops machine-learning numpy pandas-python python python3 seaborn
Last synced: 07 May 2026
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
Last synced: 17 Apr 2026
https://github.com/nikhilgugwad/sentiment-analysis
Sentiment analysis for the Kannada language to classify Kannada sentences into different emotions.
Last synced: 17 Apr 2026
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
Last synced: 17 Apr 2026
https://github.com/khushi130404/binning-binarization
This project demonstrates binning and binarization on the Titanic dataset, comparing results with and without numeric encoding. Visualizations highlight the transformations and their impact on survival analysis.
binarization binarizer binning columntransformer decision-trees matplotlib numpy pandas
Last synced: 17 Apr 2026
https://github.com/vishal-verma-96/oil_spill_prediction_using_ml
This ML project predicts oil spills using various machine learning algorithms like XGBoost and Random Forest. This project also contains saving and load of the model to make predictions on a sample dataset.
data-science machine-learning-algorithms machine-learning-classification matplotlib model-building-and-evaluation numpy pandas pickle python-3 scikitlearn-machine-learning xgboost
Last synced: 17 Apr 2026
https://github.com/antonio-f/regularization-methods
Shrinkage methods: Ridge Regression and Lasso
lasso lasso-regression machine-learning numpy python regularization ridge-regression scikit-learn
Last synced: 17 Apr 2026
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.
data-model matplotlib numpy python simulated
Last synced: 17 Apr 2026
https://github.com/mugambi645/classify-song-genre-from-audio-data
Classify song genres using supervised learning models & PCA for dimensiality reduction
decision-tree-classifier logistic-regression numpy pandas pca-analysis
Last synced: 17 Apr 2026
https://github.com/kavayk29/audio-classification-using-python-library
This is a audio classification Project using python Libraries such as librosa to make the visual representation of the audio files, and using numpy to make array of data for manipulation and then extraction the features for classification to train and test of CNN model.
librosa matplotlib-pyplot mfcc-features numpy pandas sklearn-library
Last synced: 07 May 2026
https://github.com/noluyorabi/bravais-pearson-interactive
Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.
data-visualization interactive-analysis matplotlib numpy pearson-correlation scipy seaborn statistics streamlit
Last synced: 17 Apr 2026
https://github.com/arnie1x/massive-dataset-lab
This project involves basic data manipulation with JSON files, focusing on tasks related to data processing of the MASSive dataset and file management.
data-science numpy pandas pandas-dataframe python3
Last synced: 07 May 2026
https://github.com/4strium/predict-french-tv-audience
🎬 A beginner's machine learning project whose aim is to predict the audience for films on TV in France, based on previous data provided by the CNC and Médiamétrie.
machine-learning numpy pandas python tv xgboost
Last synced: 07 May 2026
https://github.com/dmarks84/ind_project_obesity-multi-class-classification--kaggle
Independent Project - Kaggle Competition -- I worked on the obesity classification data set as part of a Kaggle Competition of the same name, scoring (for accuracy) above 0.9
classification correlation-analysis cross-validation data-modeling data-visualization dataframes eda gridsearchcv matplotlib multiclass-classification numpy pandas python seaborn sklearn statistics supervised-ml
Last synced: 11 Apr 2026
https://github.com/adityarohatgi11/regression_analysis_london_crime
This project examines how police presence impacts crime rates in London using regression analysis, panel data, and a natural experiment from the 2005 London attacks.
data-wrangling numpy pandas regression-analysis statsmodels
Last synced: 11 May 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
Last synced: 19 Apr 2026
https://github.com/27ahmad/movie-recommendation-system
Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.
movie-recommendation numpy pandas python scikit-learn
Last synced: 04 Apr 2026
https://github.com/aksoni07/movie-recommendation
A hybrid movie recommendation system designed to deliver personalized and accurate suggestions by combining user preferences, item attributes, and collaborative patterns, ensuring a seamless and engaging experience.
clustering content-based-filtering data-analysis embeddings jupyter-notebook numpy ollaborative-filtering pandas personalization python recommendation-systems scikit-learn user-item-interactions
Last synced: 11 Apr 2026
https://github.com/armahdavi/analytics_statistics_ML_plotting_dust_extraction_hvac_filters_ph2
PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics
Last synced: 17 Sep 2025
https://github.com/thoughtscript/python_api_2023
Some fun with Flask, Python, and Machine Learning
angular docker docker-compose flask machine-learning mysql numpy
Last synced: 04 Apr 2026
https://github.com/monarch1108/customerinsights-kmeans
understanding customers using KMeans and RFM(recency, frequency & monetary) analysis
data-analysis data-visualization kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn
Last synced: 11 May 2026
https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation
An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.
clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn
Last synced: 04 Apr 2026
https://github.com/rahatmoktadir03/customer-churn-prediction
A machine learning project for predicting customer churn, enabling businesses to identify at-risk customers and develop retention strategies.
business-analytics customer-churn-prediction data-science google-colab machine-learning numpy pandas python sklearn strreamlit xception-model
Last synced: 11 Apr 2026
https://github.com/ola-kaznowska/image-processing-
Image processing. Artificial neural network
ai artificial-intelligence machine-learning neural-network numpy python tensorflow
Last synced: 18 Apr 2026
https://github.com/jsnevt/regressao_linear
Regressão linear simples - Qual a velocidade se levou x distância para parar ?
linear-regression matplotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/chintanboghara/rocket-simulation
A comprehensive web-based orbital mechanics simulator with advanced mission planning, real-time tracking, and educational features.
docker flask html javascript numpy plotly python
Last synced: 11 Apr 2026
https://github.com/ksasi/dog-breed-classifier
Dog Breed Classifier
cnn cnn-classification computer-vision deep-learning deep-neural-networks keras keras-neural-networks machine-learning numpy pandas python scikit-learn
Last synced: 05 Apr 2026
https://github.com/ricardorobledo/next_level_data_science
matplotlib numpy pandas python3 scikit-learn
Last synced: 05 Apr 2026
https://github.com/stffns/snapvec
Fast compressed ANN search via randomized Hadamard transform + Lloyd-Max quantization. Pure NumPy.
ann embeddings hadamard numpy quantization rag vector-search
Last synced: 07 Apr 2026
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/nachtfeuer/covid19
Python script(s) for visualizing corona data
csv json matplotlib numpy pandas python requests tkinter
Last synced: 05 May 2026
https://github.com/jigyasag18/iit-guhawati-final-capstone-project
Smart Dynamic Parking Price Optimization System that adjusts parking fees in real-time based on demand, traffic, and competition. It employs adaptive pricing models and rerouting logic to enhance parking utilization and reduce congestion. The system is visualized via an interactive Streamlit dashboard, enabling users to simulate dynamic pricing.
bokeh bokeh-server bokehplots capstone-project data dataset deployment machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot mlproject normalisation numpy pandas pathway python streamlit
Last synced: 05 Apr 2026
https://github.com/nikita-data/sql_projects
SQL projects
database numpy pandas postgresql python sql sql-query sqlalchemy sqlite sqlite-database sqlite3
Last synced: 11 Apr 2026
https://github.com/grantgasser/task3
Multiclass Classification
keras multiclass-classification numpy pandas tensorflow
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/lorenzorottigni/ml-movies
Machine Learning python bootcamp: Recommender Systems on movies dataset
ipynb machine-learning numpy pandas python recommender-system scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/kostadinlambov/the-galois-field-in-cryptography
This project is about Galois fields, what properties they have and how they can be used in cryptography.
aes-encryption asymmetric-cryptography encryption-decryption extension-fields finite-fields galois-fields numpy prime-fields python symmetric-cryptography
Last synced: 08 May 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
Last synced: 18 Apr 2026
https://github.com/somenath203/skin-lesion-segmentation-opencv
numpy opencv pandas skin skin-lesion skin-lesion-segmentation
Last synced: 18 Apr 2026
https://github.com/matiassenia/galaxypy
La aplicación carga una imagen en escala de grises y utiliza los puntos de menor luminosidad (más oscuros) para dibujar líneas de colores que crean una estructura parecida a una galaxia.
Last synced: 18 Apr 2026
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/ebadshabbir/decision_tree_algorithm
Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.
decision-tree-classifier jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 11 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/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/aniket2021448/movie-recommender-system
A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis, NLP processing and ML, achieving the functionality of a Content based movie recommender system
data-exploration data-exploration-and-preprocessing free-hosting-service machine-learning natural-language-processing nltk-python numpy pandas streamlit-webapp
Last synced: 19 Apr 2026
https://github.com/codetun/wie-act-challenge-ai
Our AI model, integrated with the Defend Her extension, uses advanced natural language processing (NLP) to predict and identify offensive or harmful language in real-time 🧠💬🚫. By continuously analyzing content, it ensures accurate detection of bad words, enhancing the extension's ability to protect users and promote a safer online environment 🌐
colab csv jupiter-notebook kaggle nltk numpy pandas
Last synced: 19 Apr 2026
https://github.com/mwoss/opencv-raspberry-pi
Video capture on Raspberry Pi/PC using OpenCV
numpy opencv python rapsberrypi video-capture
Last synced: 19 Apr 2026
https://github.com/amanda-ucc/market-tracker
Automated portfolio creator that generates a portoflio which mimics a bench mark index by minimizing the tracking error.
beta covariance numpy pandas scipy sharpe-ratio tracking-error variance yfinance
Last synced: 11 Apr 2026
https://github.com/bharath-tars/modelml
Model for Diabetes Prediction using Machine Learning
docpilot flask heroku matplotlib-pyplot numpy pandas seaborn sklearn smtp
Last synced: 19 Apr 2026
https://github.com/kahngjoonkoh/randomshapegenerator
A program that will generate images with random shapes and background colours. Can be customized and generated in bulk.
generative-art numpy opencv python threading tkinter
Last synced: 11 Apr 2026
https://github.com/abdoufermat5/gps_statistiques
Calculs statistiques pour le cloud personnel
geolife gps numpy pandas python statistics trajectory-analysis
Last synced: 20 Apr 2026
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.
arima financial-forecasting numpy pandas sarima xgboost
Last synced: 20 Apr 2026
https://github.com/prahaladhchandrahasan/housingprices_adavanced_regression
A machine learning model for "House Prices: Advanced Regression Techniques" kaggle competition.
machine-learning-algorithms matplotlib-pyplot numpy pandas python3 scikit-learn
Last synced: 20 Apr 2026
https://github.com/chaganti-reddy/heart_disease_prediction
Machine Model creation for Heart Disease Prediction
data-science deep-learning machine-learning numpy python
Last synced: 11 May 2026
https://github.com/s1dewalker/portfolio_analysis
MPT in Python | Efficient Frontier modeling, Fama French 3 Factor Analysis, Monte Carlo Simulations and Portfolio Risk Analysis (Sharpe, VaR)
efficient-frontier equity financial-research monte-carlo-simulation numpy pandas portfolio-analysis portfolio-management portfolio-optimization python quantitative-analysis quantitative-finance regression regression-models risk risk-analysis risk-management risk-models value-at-risk volatility
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
https://github.com/muhammadmoeezkhan/euclidean-distances
Python Program That Calculates Euclidean Distances Via 5 Algorithms
numpy pandas-python scipy timeit
Last synced: 20 Apr 2026
https://github.com/mkhekare/bikesharing_ml
Provides insights into the bike sharing trends based on various factors such as time of day, season, and weather. The findings can be used to improve bike sharing services and understand user behavior.
matplotlib numpy numpy-library pandas seaborn
Last synced: 20 Apr 2026
https://github.com/jorisbertier/learnpython
Project for learn Python
beautifulsoup4 matplotlib numpy pandas python seaborn
Last synced: 05 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
matplotlib numpy opendatasets pandas seaborn
Last synced: 11 May 2026
https://github.com/harmanveer2546/campus-recruitment-prediction
Student Campus-Placement Prediction ML Project using Python
decision-trees machine-learning matplotlib numpy pandas python random-forest scipy seaborn
Last synced: 11 Apr 2026
https://github.com/venkat-0706/air-drawing
A real-time hand gesture drawing app using Python, OpenCV, and MediaPipe to draw, erase, and switch colors on a canvas using finger gestures via webcam.
computer-vision hand-gesture-recognition mediapipe mediapipe-hands numpy opencv-python python realtime-object-tracker
Last synced: 20 Apr 2026
https://github.com/zombietdv/n_gram-model
n_gram model implementation with numpy only
Last synced: 21 Apr 2026
https://github.com/oanderoficial/plant-health-check
cv2 diagnostic inteligencia-artificial numpy tensorflow
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
Last synced: 21 Apr 2026
https://github.com/amaldevh/py-method-profiler
Profile Python methods without changing your code
benchmarking numpy performance performance-analysis profiling python statistics timing wrapper
Last synced: 16 May 2026
https://github.com/dmarks84/ind_project_superstore-sales-time-series-analysis--kaggle
Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2.
chloropleth data-modeling data-visualization eda linear-regression matplotlib numpy pandas python seaborn sklearn statistics statsmodels supervised-ml time-series-analysis
Last synced: 09 Apr 2026
https://github.com/abideen-olawuwo/georgiatimeseries
A times series forcasting
arima itertools linear-regression matplotlib numpy pandas python seaborn statistics statsmodels time-series
Last synced: 11 Apr 2026
https://github.com/separatrixxx/crypto_labs_6_sem
👓 Laboratory work for the 6th semester of MAI on cryptography
cryptography matplotlib numpy python
Last synced: 21 Apr 2026
https://github.com/sazzadul-eanan/basic_numpy_learning
Numpy_Basics
jupyter-notebook numpy numpy-arrays numpy-library numpy-matrix numpy-tutorial
Last synced: 22 Apr 2026
https://github.com/himudigonda/gradwire
GradWire: A NumPy-based Automatic Differentiation Engine
automatic-differentiation deep-learning dynamic-computation-graphs machine-learning numpy operator-overloading
Last synced: 22 Apr 2026
https://github.com/mariacarolinass/analise-de-dados
Iniciando com NumPy e Matplotlib
matplotlib matplotlib-pyplot numpy numpy-exercises
Last synced: 23 Apr 2026