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/datamallo/python101
The ressources you need to learn or get better in Python. Covering the basics of Python3, NumPy and Pandas for
Last synced: 18 Apr 2026
https://github.com/jimmymugendi/bulding-a-decision-tree-to-predict-customer-churn
This repo desribes bulding a decision tree to predict customer churn in a given organisation
accuracy-score decision-tree-classifier matplotlib-pyplot numpy pandas-dataframe scikit-learn
Last synced: 07 May 2026
https://github.com/shudhanshusaurabh001/super_market-data-analysis-using-python
This project focuses on analyzing supermarket sales data using Python. The goal is to extract meaningful insights from the dataset, such as sales trends, customer purchasing behavior, and product performance.
analysis csv data insights matplotlib numpy pandas project python seaborn
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https://github.com/devllm/exemple-de-quantization
Démo de quantization de modèle
ai artificial-intelligence deep-learning ia intelligence-artificielle keras machine-learning matplotlib ml numpy python python3 quantization tensorflow tensorflow-lite
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https://github.com/nicovandenhooff/kaggle-competitions
A repository that contains my Kaggle projects.
data-analysis data-visualization deep-learning exploratory-data-analysis kaggle machine-learning matplotlib modeling neural-network numpy pandas seaborn sklearn
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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
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https://github.com/jnayak1/naive_bayes_cars
Using Naive Bayes and SGD ML algorithms to predict if a new car will decrease in price
cars machine-learning naive-bayes numpy sklearn
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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
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https://github.com/vishal-verma-96/Honey_Production_Analysis_using_Python
In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.
matplotlib numpy pandas python-3 python-visualization seaborn
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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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Data analysis of retail meal orders, fulfillment centers, and product demand using Python
data-analysis data-visualization jupyter-notebook numpy pandas python
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https://github.com/linsanity03/football_prediction
ML project to predict goal from football events such as penalty, free kick.
jupyter-notebook numpy pandas pyspark python3 tensorflow
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https://github.com/vansh-py04/data-analysis-questions-pandas-numpy-sql
Solution to 450+ Data Science Tech Stack questions essential for Data Analysts and Scientists!
data-analysis data-science deepnote machine-learning numpy pandas python sql
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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/abdul-rafay19/california-housing-price-prediction
This project predicts California housing prices using machine learning regression models, including Random Forests and Decision Trees. It covers data preprocessing, exploratory analysis, model training, and hyperparameter tuning to optimize performance.
decision-trees gridsearchcv linear-regression matplotlib numpy pandas python random-forest randomsearch-cv scikit-learn scipy seaborn
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https://github.com/shahzaibdev355/house-recommendation-backend
House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.
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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/prajakta1321/exoplanet-atmospheric-characterization-1
A machine learning project to classify exoplanets using light curve image data. Developed as part of the ML4SCI GSoC 2025 Test Task. Includes data processing, CNN-based model, and full report.
classification colab-notebook dbscan gsoc-2025 machine-learning-algorithms matplotlib-python ml numpy open-source pca-analysis python3 seaborn
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https://github.com/yasinefeee/parkspotter_pretest_enviroment
The ParkSpotter project is designed to detect the occupancy status of parking spots in a simulation environment. Using a toy model, a camera system, and a machine learning model, this system identifies whether a parking space is EMPTY or NOT EMPTY in real-time.
ai-systems classifier computer-vision cv2 numpy opencv parking-spot-detection parking-spots python sckit-image sckit-learn simulation-environment svm svm-classifier
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https://github.com/jaygaha/ai-mastery-roadmap
A collaborative AI learning roadmap. I'm documenting my journey from grasping the fundamentals of Python to mastering Machine Learning. Feel free to fork and contribute — let's build our AI skills together!
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https://github.com/jsnevt/regressao_linear
Regressão linear simples - Qual a velocidade se levou x distância para parar ?
linear-regression matplotlib numpy pandas python
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https://github.com/armanshadyan/bacteria-detection
Deep learning-powered tool for detecting and analyzing bacteria in microscope images. Designed for microbiology research, it identifies bacteria, counts them, and calculates coverage area with high precision. Supports real-time video processing, single-image analysis, batch processing, and model training.
mediapipe numpy object-detection opencv python pytorch
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https://github.com/alezoon/movie-revenue-prediction
Sk-learn practice using Linear Regression, ML workflow practice.
jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn
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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
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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
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https://github.com/stffns/snapvec
Fast compressed ANN search via randomized Hadamard transform + Lloyd-Max quantization. Pure NumPy.
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https://github.com/jeet1995/brain-corp-robot-scan-filter
argparse numpy python shell-script unittest
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https://github.com/iv4n-ga6l/titanic-survival-prediction
a predictive model in Python that answers the following question: “using data relating to passengers (name, age, gender, socio-economic class, etc.), who has the greatest chance to survive?"
matplotlib numpy pandas python seaborn sklearn
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https://github.com/rafagomezguillen/data-science-python
Data Science and Python notes
data-science django-rest-framework matplotlib numpy pandas python seaborn webscraping
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https://github.com/manalisbhavsar/mall-customers-clustering
K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.
data-analysis data-visualization matplotlib numpy pandas python scikit-learn
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https://github.com/kartmaan/prime-number-analysis
Analysis notebook on prime numbers
analysis conjecture fibonacci fibonacci-numbers fibonacci-sequence math mathematics matplotlib notebook number-theory numpy polyfit prime prime-number-algorithm prime-numbers trends
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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.
catboost data-science lightgbm machine-learning numpy pandas python sklearn statistics xgboost
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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
artificial-intelligence cmake computer-vision cpp mediapipe numpy opencv python
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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.
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https://github.com/9bow/deep-learning-from-scratch
examples in the book
book deeplearning example-code jupyter-notebook numpy python3
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https://github.com/shdrn2402/incomesresearch
The project aims to study the influence of various characteristics on a person’s income. In this project, I practiced data preprocessing and visualization, and also touched on the basics of machine learning.
jupyter-notebook matplotlib numpy pandas python seaborn sklearn visualization
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https://github.com/grantgasser/task3
Multiclass Classification
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https://github.com/navid-kalaei/numpy-neural-network
Neural network implemented in Numpy to predict bike sharing on real data
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https://github.com/nowon1/insurance-claim-prediction_version
This project aims to predict the insurance claim amounts based on various customer attributes using machine learning techniques. The project involves data preprocessing, exploratory data analysis, feature engineering, and model training and evaluation.
data-preprocessing data-science data-visualization exploratory-data-analysis feature-engineering insurance jupyter-notebook machine-learning numpy pandas predictive-modeling python random-forest regression-analysis scikit-learn
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https://github.com/andres15alvarez/numericalcalculator
Calculator of roots of equations and system of linear algebraic equations.
numerical-methods numpy python scipy
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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
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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
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https://github.com/reddyprasade/bird-classifications-problem
Birds Classification by using Scikit-learn and Scikit-image
matplotlib numpy pandas python-3 sckiit-learn sckit-image
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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.
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https://github.com/somenath203/skin-lesion-segmentation-opencv
numpy opencv pandas skin skin-lesion skin-lesion-segmentation
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https://github.com/iv4n-ga6l/object_detection_with_background_substractor
Object Detection and Tracking with OpenCV background subtractors
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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/rahuls-1106/dataspark
DataSpark is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.
data-visualization jupyter-notebook matplotlib numpy pandas-dataframe powerbi python seaborn sql
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
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https://github.com/md-emranhossen/deep-learning-hub
Welcome to Deep Learning Playground, a personal repository for exploring and experimenting with deep learning concepts, architectures, and techniques. This repo serves as a hands-on space for implementing and understanding deep learning models, from fundamental neural networks to advanced architectures.
cnn-model deep-learning deeplearning gan generative-adversarial-network neaural-network numpy pandas pthon tensorflow
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https://github.com/zombietdv/rfl-13_8
Implementaion for Genetic algorithm and Q-Learning.
genetic-algorithm grid-world machine-learning numpy pygame q-learning
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https://github.com/dmarks84/coursework_project_ml-classification
Project for IBM Data Science course on Machine Learning -- Trained ML models for classification, evaluating based on a variety of metrics
classification communication data-modeling dataframes numpy pandas python scikit-learn supervised-ml
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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.
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https://github.com/mayankmittal29/criticalphenomena-exploring_phase_transitions_and_self-organized_criticality
A computational physics project exploring critical phenomena through percolation theory and the Bak-Tang-Wiesenfeld sandpile model.
criticality-c gif-animation jupyter-notebook matplotlib numpy percolation-theory python3 sandpile-model
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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
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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
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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).
data-science decision-tree-classifier machine-learning numpy pandas-dataframe python sklearn
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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/kumpatlapavankumar/eda-project-on-google-play-store-anlaysis
analysis computer-science data-cleaning data-science data-scraping enginneering enjoy exploratory-data-analysis matplotlib numpy outlier-detection pandas preprocessing projects seaborn-plots upgrad
Last synced: 19 Apr 2026
https://github.com/costopoulos/ntua-dsp
:signal_strength: NTUA ECE Digital Signal Processing Course Source Codes and Reports
dsp filters fourier-transform librosa numpy pywt scipy short-time-signal-analysis stft
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https://github.com/gkannan-codes/habitableexos
With Earth’s habitability under strain, we ask: which known exoplanets could humans live on? Using NASA’s Exoplanet Archive, we score planets 0–1 (1 ≈ Earth) from five Earth-normalized features to rank top candidates.
data html kaggle matplotlib-pyplot numpy pandas plotly python seaborn visualization
Last synced: 11 Apr 2026
https://github.com/haimgoldfisher/data_visualization_final_project
Final project of the Data Visualization course, Ariel university.
adaboost bayesian-learning catboost ensemble-learning gradient-boosting gridsearchcv matplotlib numpy pandas plotly seaborn semi-supervised-learning voting-classifier
Last synced: 08 May 2026
https://github.com/vyjayanthipolapragada/data_analytics_medical_appointments
Analyzing the data set which consists of medical appointments to draw insights about patient's no-show scenarios
data-analysis data-analytics data-cleaning data-visualization data-wrangling jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 19 Apr 2026
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
Last synced: 19 Apr 2026
https://github.com/mugambi645/eda-projects
A list of EDA projects
data-analysis eda matplotlib numpy pandas plotly seaborn webscraping
Last synced: 19 Apr 2026
https://github.com/tigureis/aula_deployment
This project not only demonstrates a machine learning pipeline but also serves as a template for deploying models into production. By leveraging the project's structure and code, you can streamline the process of deploying your own machine learning models.
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/rsc-88/titanic
Data Science
jupyter-notebook numpy pandas python
Last synced: 08 May 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/vyjayanthipolapragada/car_mileage_prediction
Predicting the mileage of car using the linear regression model with Scikit-learn
kaggle-titanic linear-regression machine-learning numpy pandas predictive-modeling python scikit-learn
Last synced: 20 Apr 2026
https://github.com/paulo-santos-ds/previsao_preco_carros
O objetivo é realizar predições em um aplicativo de vendas de carros. A qualidade e velocidade de predições é crucial para o negócio. O projeto utiliza dados históricos, especificações técnicas, versões de acabamento e preços.
lightgbm math matplotlib numpy pandas python time
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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/gama1903/digital_image_processing
Implementation of Basic Algorithms of Digital Image Processing mainly through Numpy.
digital-image-processing numpy opencv python
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https://github.com/levieyal/oop-course-exercises
The first exercises in the OOP in Java and python course that took place in the first semester of 2021
docs git github graph-algorithms interfaces numpy python solid-principles unit-testing
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https://github.com/kartmaan/exoplanets
Analysis of a dataset on exoplanets
astronomy astrophysics exoplanets graph images nasa numpy orca package pandas plot plotly science space statistics telescope telescopes
Last synced: 20 Apr 2026
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.
Last synced: 08 May 2026
https://github.com/doondigangadhar30/ghiblify-animeganv3
A creative tool that generates beautiful Ghibli-style artwork from your image input.
colab-notebook jupyter-notebook numpy onnxruntime opencv python
Last synced: 01 Jul 2025
https://github.com/dennis-mureti/mini-project-data-science
HIV data analysis per county (use PYTHON IDE)
data-science jupyter-notebook machine-learning matplotlib numpy pandas python
Last synced: 20 Apr 2026
https://github.com/prakashjha1/stock-investment-analysis
Stock Investment Analysis Project can help investor to select the better performing stocks.
data-analysis data-science numpy pandas pandas-datareader parallel-programming python
Last synced: 08 May 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/aadrianleo/book-recommendation-system
Book Recommender System using the Book-Crossing dataset. Compares content-based (TF-IDF + cosine similarity) and collaborative filtering (SVD) methods for book recommendations. Includes data cleaning, EDA, and model evaluation (Precision@5, RMSE) in Python.
artificial-intelligence collaborative-filtering content-based-filtering cosine-similarity data-preprocessing jupyter jupyter-notebook machine-learning matrix-factorization numpy pandas predictive-modeling python3 recommendation-system recommender-system scikit-learn sckit-surprise
Last synced: 10 Apr 2026
https://github.com/vyjayanthipolapragada/image_cartoonification_opencv
Cartoonify images using opencv and tkinter
cartoonify computer-vision easygui image-processing imageio matlplotlib numpy opencv pillow python tkinter
Last synced: 20 Apr 2026
https://github.com/nerett/get
Scripts from General Engineering (GET 2022) labs
adc dac gpio gpio-pins matplotlib matplotlib-figures matplotlib-pyplot mipt numpy numpy-arrays pwm python python3 raspberry-pi
Last synced: 20 Apr 2026
https://github.com/dane-meister/machine-learning-algos
Repository of several ML algorithms implemented for different environments and robot control vectors.
colab-notebook gymnasium jupyter-notebook machine-learning-algorithms numpy opencv pybullet python pytorch
Last synced: 11 Apr 2026
https://github.com/alain-godo/spotify-popularity
A simple analysis and modeling for prediction of the popularity of songs on Spotify
linear-regression machine-learning numpy pandas random-forest sckiit-learn spotify tree-decision
Last synced: 08 May 2026
https://github.com/prashhhant213/data_analysis_and_visualization-_for_streaming_platform
Data Analysis and Visualization for streaming platform to provide insights and recommendations to improve their userbase.
colab-notebook data datavisualization matplotlib numpy pandas python seaborn
Last synced: 20 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
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https://github.com/octavioduarte/datascience
A repository with study notes on Data Science concepts, NumPy, pandas, and an introduction to statistics.
data-science jupyter-notebook numpy pandas
Last synced: 08 May 2026
https://github.com/pnguyen215/pycelize
Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.
excel lib numpy openpyxl pandas py-app pycelize python-service python3
Last synced: 17 Jun 2026
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/harmanveer-2546/sports-bets-winning-algorithm
Sports betting is the activity of predicting sports results and placing a wager on the outcome.
adaboostclassifier ascii betting-models ensemble extratreesclassifier gradientboostingclassifier kneighborsclassifier labelencoder matplotlib mlpclassifier nfl nflstats numpy pandas plotly python seaborn sports-data string winning-algorithm
Last synced: 08 May 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/carmoreno/aviones-aldeas
:airplane: Final project o Complexity and Optimisation course :house_with_garden:
Last synced: 21 Apr 2026