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/franciscomartinez45/social-network-analysis

Applied to analyze how misinformation propagates within communities. With the goal of addressing health disparities and improving health literacy particularly in minority populations, the project explores both supervised and unsupervised learning approaches to understand patterns in graph-structured data using a custom Graph Attention Network

matplotlib ml networkx numpy pytorch

Last synced: 09 May 2026

https://github.com/rtgrt5645/numpy-lab

๐Ÿงฎ Explore, manipulate, and visualize data with NumPy to enhance your Python skills in scientific computing and data analysis.

array-operations data-analysis data-science jupyter-notebook machine-learning numerical-computing numpy numpy-arrays numpy-library numpy-python python python3 scientific-computing

Last synced: 04 May 2026

https://github.com/manuethomas/credit-default-risk-analysis-eda

This repository contains the detailed EDA analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices

bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis

Last synced: 04 May 2026

https://github.com/abhinav330/911-emergency-calls-analysis

This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.

data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python

Last synced: 09 Jun 2026

https://github.com/rishieeee/spam-email-classifier

A simple machine learning project that classifies emails as spam or ham using TF-IDF and a Multinomial Naive Bayes model. The project covers data cleaning, text preprocessing, feature extraction, model training, and evaluation. A great beginner-friendly introduction to NLP and ML workflows.

multinomial-naive-bayes numpy pandas python sckit-learn tf-idf

Last synced: 09 May 2026

https://github.com/aliyahscoding/tiny-recommender

Tiny item-item recommender in Python using cosine similarity over a toy userโ€“item matrix. Simple CLI to print top-N recommendations.

collaborative-filtering cosine-similarity numpy pandas python recommender-system

Last synced: 09 May 2026

https://github.com/youssefyaser/scrape-the-imdb-site-for-the-top-250-movies

Web scraping the top 250 movies in IMDB site.

data-analysis numpy pandas python

Last synced: 04 May 2026

https://github.com/hanzopgp/randomkagglesolving

Trying to build models to resolve some interesting Kaggle datasets thanks to deep learning.

artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib numpy personal tensorflow

Last synced: 04 May 2026

https://github.com/akhileshthite/india-population

ML (simple linear regression) model for predicting India's population.

machine-learning numpy pandas python scikit-learn

Last synced: 09 Apr 2026

https://github.com/chathumiamarasinghe/nn-training-model

A comprehensive project for training neural networks to solve real-world problems. This repository includes customizable code for building, training, and evaluating neural network architectures using popular deep learning frameworks.

jupyter-notebook matplotlib numpy phyton scikit-learn

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/alphan26/optimal-logistics-locator

This is a project in which we estimate the biomass avaibility of places due to their index and determine the optimal preprocessing depot and biorafinery in Gujarat, India

numpy pandas python sckit-learn

Last synced: 04 May 2026

https://github.com/kaungkhantkyaw1997/face_recognition

A Computer Vision tool designed to identify and recognize characters in images.

face-recognition flask numpy opencv

Last synced: 05 May 2026

https://github.com/tonoy30/emotion-mask

A pytorch model for add face mask based on detected emotion.

emotion-detection numpy opencv-python python pytorch

Last synced: 09 May 2026

https://github.com/dmkk01/mlp-python

Implementation of a multilayer perceptron using Pytorch and Numpy libraries

mlp numpy pytorch

Last synced: 05 May 2026

https://github.com/lorenzorottigni/ml-missing-values

Machine Learning course of Piero Savastano 5: ColumnTransformer, SimpleImputer, numpy

column-transformer machine-learning missing-values numpy simple-imputer

Last synced: 05 May 2026

https://github.com/lin826/nanogpt-demo

Training and finetuning local GPTs.

gpt nanogpt numpy pytorch tqdm transformers

Last synced: 05 May 2026

https://github.com/thekartikeyamishra/object-detection-for-retailer

The AI Customer Feedback Summarizer is a Python-based tool that uses extractive summarization techniques to provide concise summaries of customer feedback.

ai computer-vision cv2 numpy pillow python torch torchvision yolov5

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/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/iamwatchdogs/retail-insights-from-superstore-data

An simple Data Analysis Project for finding insight within the Super store data set

conda-environment data-analytics jupyter-notebook matplotlib numpy pandas python

Last synced: 05 May 2026

https://github.com/farial-mahmod/nuclear-energy-generation-prediction-logistic-regression

Nuclear Energy Generation Prediction Logistic Regression project is aimed at predicting the nuclear energy generation based on the production (generation) data from 1991 to 2023 by using Logistic Regression.

energy kaggle logistic-regression machine-learning matplotlib nuclear-energy nuclear-power numpy power python3 sklearn

Last synced: 05 May 2026

https://github.com/starlitdreams/lunar-landing

This project implements a DQN agent using PyTorch to solve the LunarLander-v2 environment from OpenAI Gym. The agent learns to control the lunar lander using experience replay and a target network, aiming to maximize rewards by landing smoothly. Uses CUDA for computation.

artificial-intelligence cuda deep-learning gymnasium neural-network neural-networks numpy nvidia-gpu python python3 torch

Last synced: 09 May 2026

https://github.com/vidushibhadana/eda-on-nyc-taxi-data

About Conducting an Exploratory Data Analysis (EDA) on New York City taxi data and visualizing it through countplots, distribution plots (displot), and histograms using Python and it's libraries.

data data-visualization jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 11 Apr 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/nabilshadman/multiprocessing-time-series-data-simulation

A simulation using multiprocessing to generate 10,000 time dependent samples from an initial dataset of 20 samples

multiprocessing numpy pandas scipy simulation statistics time-series

Last synced: 05 May 2026

https://github.com/ishaj72/analysis_model2

Dataset analysis model using matplotlib and other libraries

machine-learning matplotlib numpy pandas

Last synced: 09 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/mramshaw/intro-to-ml

Intro to Machine Learning - Pattern Recognition for Fun and Profit

machine-learning matplotlib ml numpy pandas pip pip3 python scikit-learn scipy seaborn seaborn-plots sklearn statsmodels tensorflow weka

Last synced: 11 Apr 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/hitthecodelabs/petalanalyticsstreamlit

Web application developed with Streamlit that predicts the Iris flower type based on its physical features

matplotlib model numpy pickle python scikit-learn sklearn streamlit

Last synced: 05 May 2026

https://github.com/kingsley-ezenwaka/mean-var-std

This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.

numpy python

Last synced: 09 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/yenk/human-genomic-meta-analysis

Meta analysis of genomic studies to better understand if telomeres in the human genome are impacted by age from wild animals data.

linear-regression machine-learning matplotlib numpy scipy

Last synced: 05 May 2026

https://github.com/amr-yasser226/pagerank-power-method

Modular Python implementation of the PageRank algorithm via the power method, with discreteโ€‘math foundations, endโ€‘toโ€‘end code, and experimental validation.

discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy

Last synced: 09 May 2026

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

A machine learning project to predict rainfall using Decision Tree, k-Nearest Neighbors (kNN), and Naรฏve 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/maroshmka/np-mlp-clf

Raw implementation of mlp classifier in python using numpy.

classification example-code learning machine-learning multilayer-perceptron neural-network numpy

Last synced: 14 May 2026

https://github.com/yash-rewalia/airbnb_eda_pandas

The goal of the project is to gather information and analyze the detailed information of the different entries in order to provide insights about the host and price of the property in a particular area as per your preference , type of rooms and number of reviews accordingly.

data data-cleaning data-insights data-preprocessing data-visualization matplotlib numpy pandas python seaborn

Last synced: 11 Apr 2026

https://github.com/ahmedabdalkreem/airline_passenger_satisfaction

In this project, we work in machine learning project that show the satisfacion of customer from the service that have in airline this service make it like this experience or not.

decision-trees gradient-boosting knn logistic-regression machine-learning matplotlib naive-bayes numpy pandas preprocessing python random-forest svm visualization

Last synced: 05 May 2026

https://github.com/anushkundu/crime-pattern-analysis

Analyzing Crime Patterns in Montgomery County, USA: An Inclusive Study Based on NIBRS Data (2016-2022)

data-analysis data-visualization descriptive-statistics matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

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

๐Ÿ“– 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/pyladiesams/python-oss-sprints-mar2024

Sprints to contribute to the most popular data and AI Python OSS libraries

conda dask geopandas jupyter matplotlib numpy pandas pymc sklearn

Last synced: 05 May 2026

https://github.com/shaikats/python-assignment

Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.

jupyter-notebook matplotlib numpy python simulation-modeling

Last synced: 09 May 2026

https://github.com/sofiakhutsieva/analytical_report_for_hr_department

ะŸะพะดะณะพั‚ะพะฒะบะฐ ะฐะฝะฐะปะธั‚ะธั‡ะตัะบะพะณะพ ะพั‚ั‡ะตั‚ะฐ (SQL) (ะŸั€ะพะตะบั‚ ะฒ skillbox), 2020 ะณ.

analytics matplotlib numpy pandas psycopg2 seaborn sqlalchemy

Last synced: 06 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/nahiyanhkhan/data-processing-and-visualization

Loan Data Processing using Python's numpy and pandas libraries. For data visualization, matplotlib and seaborn are used.

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

Last synced: 09 May 2026

https://github.com/jonad/quora_data_analysis

Exploratory data analysis and feature engineering on Quora dataset.

exploratory-data-analysis feature-extraction numpy pandas python3 quora-dataset

Last synced: 05 May 2026

https://github.com/muthupillai1204/diwali_sales_analysis

The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.

data datacleaning eda excel jupyter-notebook matlplotlib numpy pandas python seaborn visualization

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 storiesโ€”moments of surprise, excitement,

jupyter matplotlib numpy pandas python

Last synced: 05 May 2026

https://github.com/amruta33/lead_scoring_case_study

An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

bagging linear-regression numpy pandas python3

Last synced: 05 May 2026

https://github.com/mehradi-github/ref-jupyter-2510

using python in machine learning

matplotlib numpy pandas python sklearn statistics

Last synced: 11 Apr 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/waghraj1699/fraud-detection-project

A fraud detection system with machine learning will be able to detect risk based on your historical data

data-processing decision-tree-classifier machine-learning numpy pandas

Last synced: 05 May 2026

https://github.com/nkamilla/titanic-eda

Exploratory Data Analysis of the Titanic dataset using Python (Pandas, NumPy, Matplotlib). Includes data cleaning, visualizations, correlations, and key business insights.

data-analysis eda jupyter-notebook matplotlib numpy pandas python titanic-dataset

Last synced: 05 May 2026

https://github.com/ahmed-maher77/diabetes-prediction-app-using-machine-learning

Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.

ai css data-science gradientboostinclassifier javascript logisticregression machine-learning matplotlib numpy pandas python randomforestclassifier seaborn streamlit supportvectormachine webdevelopment

Last synced: 11 Apr 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/nxhawk/mln

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

decision-tree-classifier genetic-algorithm jupyter-notebook machine-learning-algorithms numpy pandas sklearn-library

Last synced: 06 May 2026

https://github.com/soumyapro/wine-quality-prediction

This project is about the prediction of wine quality using machine learning algorithms

boxplot matplotlib numpy pandas random-forest smote

Last synced: 10 Apr 2026

https://github.com/romanectatyana/fuel_norm

Practical data analytics case: calculating and optimizing fuel consumption norms for vehicles and heavy equipment. (ะะฝะฐะปั–ั‚ะธั‡ะฝะธะน ะฟั€ะพั”ะบั‚ ั–ะท ะฒะธะทะฝะฐั‡ะตะฝะฝั ะฝะพั€ะผ ะฒะธั‚ั€ะฐั‚ ะฟะฐะปะธะฒะฐ ะดะปั ะฐะฒั‚ะพั‚ั€ะฐะฝัะฟะพั€ั‚ัƒ ั‚ะฐ ัะฟะตั†ั‚ะตั…ะฝั–ะบะธ.)

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/shahriarha/programming

Python problem solving, HR-30 days of code, DSA, NumPy

algorithms-and-data-structures cpp numpy programming python

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/khaymanii/credit-card-fraud-detection-model

This model was built using python and Logistic Regression Machine Learning algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 09 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/iama02/vet-medicine-analysis

Analysis of 50,000+ veterinary medicine records with Pandas and NumPy, highlighting dosage forms, manufacturers, indications, and shelf life trends.

numpy pandas python

Last synced: 06 May 2026

https://github.com/project54321/stocksniper

"An interactive Stock Dashboard that visualizes historical prices, calculates key financial metrics, displays fundamental statements, and aggregates the latest news for any ticker โ€” all in a sleek, easy-to-use Streamlit interface."

alphavantage finance numpy pandas plotly pypi python stock-market stocknews streamlit

Last synced: 11 Apr 2026

https://github.com/skorupcia/winequality-white

winequality-white.csv visualization

matplotlib numpy pandas seaborn sklearn

Last synced: 06 May 2026

https://github.com/yashpaneliya/bank-loan-default-analysis

Analyze and understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default.

data-analysis loan-default-analysis matplotlib numpy pandas python

Last synced: 06 May 2026

https://github.com/priyanshul28/exercise_pandas

A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib.

data-cleaning data-visualization matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/andrewsy1004/logistic-regression-spam-classifier

This project implements a spam email classifier using Logistic Regression.

numpy pandas scikit-learn

Last synced: 06 May 2026

https://github.com/charlenry/python_data_science

Mes notebooks de travaux pratiques sur Python pour la Data Science

analysis data dataframe jupyter kaggle matplotlib notebook numpy pandas pyplot python science seaborn visualisation

Last synced: 25 Jun 2026

https://github.com/abdullah2020/hamoye_stageb

This is my Hamoye Stage B project. The project focuses on Predicting Energy Efficiency of Buildings. It implemented different Machine Learning algorithm technique that are not limited to Linear Regression, LASSO, Ridge etc.

eda lasso-regression linear-regression numpy pandas predictive-modeling regression-models ridge-regression rmse rsquare-values

Last synced: 09 May 2026

https://github.com/mikma03/datascience_python_datacamp

DataScience with Python. Code and examples. Python libraries, including pandas, NumPy, Matplotlib, and many more.

data-analysis data-science datacamp datascience numpy pandas python

Last synced: 06 May 2026

https://github.com/kunalpisolkar24/gradientdescent

A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.

cost-function gradient-descent numpy visualization

Last synced: 06 May 2026

https://github.com/lijesh010/ml_project_data_preprocessing

The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.

data-cleaning data-exploration data-preprocessing machine-learning numpy pandas-python python scikit-learn

Last synced: 11 Apr 2026

https://github.com/michaelzheng67/real_estate_ml

AI experiment developed to run against simulated real estate and investing environment

ai numpy python pytorch

Last synced: 09 May 2026

https://github.com/privatepeople/machinelearning-deeplearning

๋จธ์‹ ๋Ÿฌ๋‹๊ณผ ๋”ฅ๋Ÿฌ๋‹ ๊ณต๋ถ€๋ฅผ ์œ„ํ•œ ์ €์žฅ์†Œ

deep-learning deep-neural-networks deeplearning dl machine-learning machinelearning ml numpy pandas python scipy tensorflow

Last synced: 11 Apr 2026

https://github.com/sopheakchan/dull-razor-algorithm

DullRazor hair removal for dermoscopic skin images.

numpy opencv python

Last synced: 06 May 2026

https://github.com/sufiyan1803/student-result-analysis

This project explores student exam data to find out what affects their scores. It covers everything from cleaning the data to analyzing score distributions, the effects of parental education and marital status, and comparisons by gender and lunch type. Itโ€™s a great way to see how different factors influence student performance.

matpolotlib numpy pandas python

Last synced: 03 Feb 2026