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An open API service indexing awesome lists of open source software.

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.

https://github.com/abdoomohamedd/python-data-analysis-projects

A collection of data analysis projects that I have worked on. Each project involves cleaning data, performing exploratory data analysis (EDA), and creating visualizations to extract insights. The projects utilize various Python libraries, including pandas, numpy, matp

data-analysis data-analysis-python data-cleaning data-visualization matplotlib matplotlib-pyplot numpy pandas python

Last synced: 01 May 2026

https://github.com/emmanueltobi/ai-academy-university

Code samples from the Intel Nervana AI Academy University held in FUTA

ai classification-algorithm dataset intel numpy regression regression-models sklearn

Last synced: 01 May 2026

https://github.com/hansalemaos/a_pandas_ex_image_tools

Uses pandas/numpy/numexpr for operations on pictures - very fast

colors image locate numexpr numpy opencv pictures python

Last synced: 01 May 2026

https://github.com/deusares/funpil

A collection of PIL, Numpy and OpenCV functions to manipulate images

batch image-processing lazy media numpy opencv pil pillow python script

Last synced: 01 May 2026

https://github.com/satyamtripathi8/tools_for_data_science

Introduction to Data Science Tools(Python)

data-analysis-python matplotlib-pyplot numpy pandas

Last synced: 01 May 2026

https://github.com/dostuffthatmatters/jax-capability-analysis

demo repository containing the experiments for my master's seminar @ TUM

autograd click deep-learning huggingface jax jit-compilation mnist numpy python pytorch

Last synced: 01 May 2026

https://github.com/dhruvv1402/spam-detection-python-

This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.

countvectorizer kaggle-dataset nlp-machine-learning nltk numpy pandas python scikit-learn supervised-machine-learning tf-idf

Last synced: 01 May 2026

https://github.com/muhammadadilnaeem/bcg-data-science-job-simulation-on-forage-august-2024

This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.

bcg customer-churn-prediction-with-machine-learning data data-science forage numpy pandas

Last synced: 01 May 2026

https://github.com/v-goncharenko/freespace

Implementation of signal propagation in free space

numpy python signal-processing

Last synced: 02 May 2026

https://github.com/voidkeishi/computational-science

This repository contains implementations of algorithms from the course "Computational Science" at HUST

computational-science numpy python

Last synced: 02 May 2026

https://github.com/shreeparab1890/unicorns-of-india-till-sep-2022-analysis-eda

This ipython notebook is the Exploratory data analysis (EDA) of the Unicorns of India till Sep 2022.

analysis data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly

Last synced: 02 May 2026

https://github.com/amishidesai04/emergency-calls-data-analysis-project

Welcome to the Emergency Calls Data Analysis project repository. This project is dedicated to extracting, processing, and visualizing data from the "Emergency – 911 Calls, Montgomery County" dataset, sourced from Kaggle. The main objective is to analyze trends in emergency calls in Montgomery County, Pennsylvania, spanning multiple years.

analysis data-analysis data-extraction data-processing data-science data-visualization numpy pandas python seaborn

Last synced: 02 May 2026

https://github.com/sgb31/csv-retrival-based-rag

Created a simple RAG system that lets users upload any CSV file and ask questions about it. It reads the data, finds the most relevant info, and uses an LLM to answer the query. Super handy for quickly exploring and understanding data through natural language.

generative-ai llm numpy pandas pydantic python3 sentence-transformers sklearn streamlit transformers

Last synced: 19 Jun 2026

https://github.com/camsai/jupyterlite

CAMSAI JupyterLite is a lightweight, browser-based environment tailored for AI-driven materials science research. It integrates CAMSAI tools, schemas, and workflows, enabling users to validate data, run simulations, and explore materials science applications without requiring local installation or setup.

chemistry jupyterlite materials materials-design materials-informatics materials-science matplotlib numpy pyodide python scipy

Last synced: 02 May 2026

https://github.com/andremenezesds/machine_learning_test

Testing among various Machine Learning models and parameters, in order to further study their behaviour for Classification, Regression and Clustering analysis.

classification-models clustering-models machine-learning numpy pandas regression-models sklearn

Last synced: 02 May 2026

https://github.com/ksharma67/intel-stock-predication-wiith-eda

We are trying to design a model that can predict the price of stock using different methods and algorithms.

eda linear-regression machine-learning-algorithms matplotlib numpy pandas prediction python scaler seaborn skit-learn

Last synced: 02 May 2026

https://github.com/baranovserv/h-s-diagram

Парсер данных построения H-S диаграммы для веществ

diagrams json matplotlib numpy parser requests

Last synced: 02 May 2026

https://github.com/hadjuse/spotify-recommendation-knn

Here is a personal project where i use KNN project to classify songs

data-science graphics interpretation knn-classification machine-learning matplotlib music numpy plotly spotify

Last synced: 03 May 2026

https://github.com/badranalyst/movie-correlation-analysis-in-python

This project analyzes movie data correlations using Python libraries like Pandas, NumPy, Seaborn, and Matplotlib. It examines relationships between attributes such as ratings, genres, and box office performance to uncover trends that inform recommendations and enhance understanding of movie success factors.

data data-analysis dataset jupyter jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python seaborn

Last synced: 03 May 2026

https://github.com/bhavna-kale/cars-eda-project

Project analyzing used car market data to identify high-impact price drivers and depreciation curves, presented through an interactive web application.

data-analysis excel matplotlib numpy pandas python3 searborn streamlit

Last synced: 03 May 2026

https://github.com/raduldev/biopython

Biopython Record Work and few extra coding excercise

bioinformatics biopython gromacs jupyter-notebook matplotlib numpy pandas python3

Last synced: 03 May 2026

https://github.com/alexbie98/bietorch

neural nets with numpy

autograd neural-nets numpy torch

Last synced: 03 May 2026

https://github.com/k-ilyas/ai-projects-handwritten-digit-recognition-titanic-survivor-analysis

AI Projects: Handwritten Digit Recognition & Titanic Survivor Analysis using scikit-learn

machine-learning numpy pandas sickit-learn

Last synced: 03 May 2026

https://github.com/thiagonunesbatista/deuteranopia-simulator-computer-vision-python

Live color detection with a webcam and a simulation of deuteranopia's color perception effects.

computer-vision numpy opencv python

Last synced: 03 May 2026

https://github.com/ebrahimar/ai-voice-cloner-xtts-v2

A Streamlit web app for AI-powered voice cloning using Coqui XTTS v2. Record or upload reference voices, clone speech in multiple languages, and generate natural audio outputs.

ai-voice coqui-tts deep-learning json multilingual-tts numpy pydub python speech-synthesis streamlit text-to-speech tts-model voice-cloning xtts-v2

Last synced: 03 May 2026

https://github.com/prathicashettym/machinelearningalgorithms

Contains mini projects and implementation using ML algorithms

jupyter-notebook linear-regression matplotlib numpy pandas panfas python seaborn

Last synced: 03 May 2026

https://github.com/jsnevt/decisiontreecls

Data Science - Árvores aleatórias - RandomForestClassifier

decision-tree-classifier matplotlib numpy pandas seaborn

Last synced: 03 May 2026

https://github.com/akhil-krishnan-r/super_market_analysis

The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset

data-visualization matplotlib numpy pandas seaborn

Last synced: 03 May 2026

https://github.com/vinicius999/icu-beds-forecast-covid-19

Predição da ocupação de leitos de UTI no Brasil devido a pandemia do COVID-19, usando Support Vector Regression (SVR)

covid-19 matplotlib numpy pandas python sklearn support-vector-regression

Last synced: 03 May 2026

https://github.com/pramodyasahan/binary-classifier

This repository houses the code for a machine learning model designed to predict customer churn. The model is built using Support Vector Machine (SVM) from the scikit-learn library and incorporates preprocessing, pipeline, and grid search techniques for optimal performance.

numpy pandas scikit-learn

Last synced: 03 May 2026

https://github.com/jonad/finding_donors

Predicting income with UCI Census Income Dataset using supervised machine learning algorithms

numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 03 May 2026

https://github.com/muskanmi/data_analysis_python

Data analysis on students result dataset using python libraries.

boxplot countplots data-analysis numpy pandas pie-chart python3 seaborn

Last synced: 03 May 2026

https://github.com/syed-m-nofel/python-data-science-fundamentals

Python notebooks for data manipulation (Pandas/NumPy) and API workflows – from basics to practical examples.

api beginner-friendly data-analysis data-science http-requests jupyter-notebook numpy pandas pandas-dataframe python tutorial

Last synced: 03 May 2026

https://github.com/lmizner/codecademy_product_defects

Practicing rules of probability, set theory, and distributions

cdf jupyter-notebook numpy pmf ppf python rvs scipy-stats

Last synced: 03 May 2026

https://github.com/hansalemaos/np_zoom_in

Zoom in on a picture

image numpy python zoom

Last synced: 03 May 2026

https://github.com/naritanara/tf-test

Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR

numpy python research-project tensorflow tensorflow-tutorials

Last synced: 03 May 2026

https://github.com/joao-inacio/numpy-essencial-para-desenvolvedores-python

O curso foi elaborado para desenvolvedores Python que desejam explorar os recursos poderosos da biblioteca NumPy. Através de aulas práticas, eu vou adquirir as habilidades necessárias para trabalhar com arrays multidimensionais, realizar cálculos científicos complexos e manipular dados com eficiência.

array array-manipulations array-methods jupyter-notebook numpy python python3

Last synced: 03 May 2026

https://github.com/grachale/convolution_image

The implementation of a function that takes an image (RGB or gray one) and a filter (kernel) and applies a convolution between them.

convolution image-processing numpy python

Last synced: 03 May 2026

https://github.com/egorumaev/2024-ab-tests-metrics

Анализ соответствия размера выборки и плановых значений метрик A/B-теста

latex monte-carlo-method numpy pandas statmodels

Last synced: 04 May 2026

https://github.com/bpkaur/whats-in-a-name

Exploring dataset of first names of babies born in the US in order to uncover interesting stories

data-analysis datacamp numpy pandas python3

Last synced: 04 May 2026

https://github.com/ortanav2/parabola-visualizer

Simple parabola-visualizer made with matplot+numpy [Formula: a(x+d)²+e]

mathematics matplotlib numpy parabola visualization

Last synced: 04 May 2026

https://github.com/jakeoeding/rippy

A Python seam carving implementation

numpy python3 seam-carving

Last synced: 04 May 2026

https://github.com/damisparks/become_data_analyst

Are you new to Data Analysis ? Here you will find simple notebook that will help through your journey. These are personal projects I work on and still working.

data data-analysis data-visualization matplotlib numpy pandas-tutorial

Last synced: 04 May 2026

https://github.com/arjunravi26/deep_learning

This repo contains codes and notes to learn deep learning

ann autoencoders cnn deep-learning deepseek-r1 lstm numpy rnn-tensorflow tensorflow transformer

Last synced: 04 May 2026

https://github.com/sweta-kaundilya/python_for_data_analysis

Learning Python and all the relevant libraries in python for Data field.

cufflinks data-analysis data-science matplotlib numpy pandas plotly python seaborn

Last synced: 04 May 2026

https://github.com/jonad/titanic_exploratory_analysis

Exploratory Data Analysis on Titanic Dataset

jupyter-notebook numpy pandas python3

Last synced: 04 May 2026

https://github.com/florasteve/ml-foundations-day1

Day-1 ML foundations focused on linear algebra: vectors, dot products, norms, angles, projections, and basic matrix operations—implemented in a Jupyter notebook with NumPy/Matplotlib, clear 2D visuals, a self-quiz, and a brief reflection. Emphasizes how these math primitives map to core ML/AI ideas (similarity, least squares, geometric transforms).

ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy python3 terminal-mac tutorial visualization vscode

Last synced: 04 May 2026

https://github.com/hyperplasma/olympic-visualization-analysis

Multidimensional analysis and visualization of Olympic medals, economy, and happiness index.

data-analysis data-visualization matplotlib numpy pandas python wordcloud

Last synced: 04 May 2026

https://github.com/silbena/gibbssampler

Gibbs Sampler for a simple mortgage model.

gibbs-sampler gibbs-sampling numpy python

Last synced: 04 May 2026

https://github.com/wwwmisla/gerador-mapas-calor

Sistema de visão computacional para gerar mapas de calor com base na movimentação em espaços públicos, auxiliando no planejamento urbano e uso eficiente do espaço.

color computer-vision demo google-colab gradio heatmap marchine-learning matplotlib model numpy opencv people-detection python smart-city ufrn visao-computacional vision-computer yolo yolov8

Last synced: 04 May 2026

https://github.com/abhijeet-bhambere/exploratory_data_analysis

A collection of several projects for conducting EDA on datasets from various sources

exploratory-data-analysis matplotlib numpy pandas python

Last synced: 04 May 2026

https://github.com/aqueeqazam/machine-learning-using-scikit

This repository contains all of the algorithms used to train the machine learning models using the Scikit library.

numpy scikit-learn

Last synced: 04 May 2026

https://github.com/siddhantborse/atmosviz

Atmos Viz is a Python-based project designed to analyze, visualize, and predict global temperature trends across various cities and countries using time-series analysis and advanced data science techniques. Leveraging historical climate data, this project integrates machine learning models, geospatial mapping, and interactive visualizations to unco

geopandas geospatial-analysis gis matplotlib numpy pandas plotly python scikit-learn seaborn shapefiles time timeseries-analysis timeseries-data

Last synced: 05 May 2026

https://github.com/shwetapardhi/assignment-1-q9_a--basic-statistics-level-1

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data Cars speed and distance Use Q9_a.csv

kurtosis matplotlib-pyplot numpy pandas python seaborn skewness

Last synced: 05 May 2026

https://github.com/vc-nithesh944/pandas_numpy

Practice repository for NumPy & Pandas with scripts, notebooks, and notes for future revision

numpy pandas

Last synced: 05 May 2026

https://github.com/badranalyst/residential-unit-prices-data-analysis-application

Python-based analysis of residential unit prices, focusing on data cleaning, visualization, and exploratory data analysis (EDA). Key features include price distribution, and correlation analysis between factors like size, location, and pricing.

data-analysis data-visualization dataset matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/sowmi0304/predictive-modeling-titanic-survival-prediction

Machine learning project to predict passenger survival on the Titanic using classification algorithms, data preprocessing, and model evaluation techniques.

machine-learning matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/elijahondiek/data-analysis-udacity

Udacity Data Analysis Nano Degree course resources

jupyter-notebook matplotlib numpy pandas python

Last synced: 05 May 2026

https://github.com/zafir100100/cancer-stage-prediction

This code predicts cancer data using various regression models, calculates their average R-squared scores, and prints the best model.

cross-validation data-analysis data-preprocessing decision-trees gradient-boosting linear-regression machine-learning-algorithms numpy pandas random-forest regression scikit-learn

Last synced: 05 May 2026

https://github.com/saksham-21/data_analysis-on-hindustan-times-

Performed a proper NLP based analysis from the headlines, date published and the category of the news. Moreover created a interactive Dashboard on Tableau

beautifulsoup matplotlib numpy pandas tableau

Last synced: 05 May 2026

https://github.com/lohiyah/dataset_summariser

A Python tool for generating concise summaries of datasets using Pandas and NumPy for analysis, and Matplotlib and Seaborn for insightful visualizations. Ideal for quick exploratory data analysis (EDA).

matplotlib numpy pandas seaborn

Last synced: 05 May 2026

https://github.com/rayan-alam-uoit/space-x-launch-prediction-tool

A full-stack data science project analyzing SpaceX launch data using web scraping, REST APIs, SQL, interactive visualizations, and machine learning in Python to explore trends and predict launch success.

dash data-science folium jupyter-notebook machine-learning matplotlib numpy pandas plotly python seaborn sql sqlite

Last synced: 05 May 2026

https://github.com/ranaessam03/climate-prediction

A machine learning project to predict rainfall using Decision Tree, k-Nearest Neighbors (kNN), and Naïve Bayes, with preprocessing, model evaluation, and custom kNN implementation.

decision-trees knn-classification machine-learning naive-bayes-classifier numpy sklearn

Last synced: 05 May 2026

https://github.com/mohitsai/boston-housing-data-analysis

Data Analysis Project for the City of Boston Government for insights into effect of property rennovations and remodelling on housing availability in the city

data-analysis data-science matplotlib numpy pandas python

Last synced: 05 May 2026

https://github.com/jeslipriya/expense-tracker

This is a smart expense tracking web app built with Flask that helps users manage and visualize their spending. It features Pandas and Numpy analysis to suggest ways to cut down on unnecessary expenses, with clean UI, graph visualizations, and secure login.

css flask-application full-stack html matplotlib numpy pandas

Last synced: 05 May 2026

https://github.com/chdl17/marvelvsdc

This GitHub repository contains Python and Tableau for analyzing Marvel Vs DC superheros.

excel jupyter-notebook numpy pandas python tableau-public

Last synced: 05 May 2026

https://github.com/zuhairzia/customer-segmentation

📖 About Customer Segmentation using KMeans clustering to analyze demographics, income, and spending. Helps businesses with targeted marketing and customer insights.

joblib matplotlib numpy pandas scikit-learn seaborn

Last synced: 05 May 2026

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.

convolutional-neural-networks numpy python tensorflow

Last synced: 05 May 2026

https://github.com/rohra-mehak/sciencesync

System for Personalized Google Scholar Alerts Processing and Data Management, and provision of ML based clustering analysis

agglomerative-clustering clustering crossref-api customtkinter google-api google-scholar graph-api machine-learning numpy pandas python3 scientific-article-analysis scikit-learn sqlite3

Last synced: 05 May 2026

https://github.com/abdelrahman-amen/neural_style_transfer

This project applies neural style transfer to create new images by merging the content of one image with the artistic style of another.

neuralstyletransfer numpy os python streamlit tensorflow

Last synced: 05 May 2026

https://github.com/sahaninilesh/future_ds_01_social-media-sentiments-analysis

The Social Media Sentiments Analysis Dataset captures a vibrant tapestry of emotions, trends, and interactions across various social media platforms. This dataset provides a snapshot of user-generated content, encompassing text, timestamps, hashtags, countries, likes, and retweets. Each entry unveils unique stories—moments of surprise, excitement,

jupyter matplotlib numpy pandas python

Last synced: 05 May 2026

https://github.com/ayushdutta-ai/face-recognition-model

A custom face recognition model built from scratch using Python, OpenCV, Pillow, and Face libraries, utilizing LBPH for efficient facial feature extraction and accurate identification.

face haar-cascade lbph-face-recognizer numpy opencv pillow

Last synced: 05 May 2026

https://github.com/tsungtsetu122/patternrecognition-gnn-node-classification

This project implements a Mixed Graph Neural Network (GNN) for semi-supervised multi-class node classification using the Facebook Large Page-Page Network Dataset. The goal of the project is to predict the class of each node (page) based on 128-dimensional feature vectors and the graph structure connecting the nodes.

evaluation-metrics gnn matplotlib networkx numpy optimization pandas python pytorch-geometric

Last synced: 05 May 2026

https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization

A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.

dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python

Last synced: 05 May 2026

https://github.com/kalwalt/pybind-test

A simple example with pybind and numpy with C++ code

cplusplus numpy pybind11 python

Last synced: 05 May 2026

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.)

matplotlib numpy pandas plotly power-bi

Last synced: 06 May 2026

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.

bucketing classification credit-risk customer-segmentation data-science discretization fico-score financial-analytics loan-analysis loan-default log-likelihood machine-learning numpy pandas predictive-modeling risk-modeling scikit-learn segmentation statistical-modelling

Last synced: 06 May 2026

https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies

This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.

activelearning cuda entropy kldivergence margin numpy python pyto uncertainty

Last synced: 06 May 2026

https://github.com/ianjure/simple-neural-network

Implementing a simple neural network using only Numpy.

deep-learning neural-network notebook numpy scratch-implementation

Last synced: 06 May 2026

https://github.com/frolov-andrey2405/mandelbrot-s-fractal

Mandelbrot's Fractal Constructions

numba numpy pygame python

Last synced: 06 May 2026

https://github.com/billgewrgoulas/recommendation-systems

Algorithms for joke rating prediction using the joke data-set from Kaggle.

algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi

Last synced: 06 May 2026

https://github.com/sankaran-s2001/us-traffic-accidents-analysis-python-eda

Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.

data-analysis data-science data-visualization eda matplolib numpy pandas python

Last synced: 06 May 2026

https://github.com/abhinav330/customer-behavior-analysis-linear-regression

This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.

data-analysis data-science data-visualization eda exploratory-data-analysis jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms machinelearning-python numpy pandas python regression-analysis

Last synced: 06 May 2026

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