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/mgobeaalcoba/matplotlib_y_seaborn

Aquí dejaré trabajos de visualización realizados con ambas librerías de Python.

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

Last synced: 13 Apr 2026

https://github.com/himel-sarder/complete-numpy

A comprehensive guide to mastering NumPy with practical examples and applications in machine learning. Perfect for learners and developers looking to deepen their knowledge of numerical computations in Python.

data-science dataanalysis machine-learning ml numpy numpy-exercises numpy-library numpy-python numpy-tutorial pythonlibrarires

Last synced: 04 May 2026

https://github.com/abhinav330/data-science-projects

The Data Science Projects folder contains various projects related to data analysis, machine learning, and exploratory data analysis (EDA). Each project focuses on a specific dataset and utilizes different techniques and algorithms to extract insights and make predictions.

decision-trees exploratory-data-analysis k-means-clustering k-nearest-neighbours kaggle linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly python random-forest-classifier support-vector-machines

Last synced: 30 May 2026

https://github.com/khaymanii/fake_news_prediction_model

This model was built using python and logistic regression algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 05 May 2026

https://github.com/guidorice/hab-detection-wyvern-hsi

Harmful Algal Bloom (HAB) Detection from Wyvern hyperspectral imagery

gdal geopandas gis hyperspectral jupyter numpy python rasterio

Last synced: 05 May 2026

https://github.com/octcarp-courses/SUSTech_CS303-AI_F23_Works

(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.

numpy pytorch sustech

Last synced: 24 Oct 2025

https://github.com/ahasannn/multilevel_textual_emotion_classifier

Emotion detection from social media texts using machine learning algorithms.

anaconda jupyter machine-learning matplotlib nltk numpy pandas pip python scikit-multilearn scikitlearn

Last synced: 05 May 2026

https://github.com/svetlanam/data-scripts

Simple scripts for data cleaning, etl transformations and data reorganisations

data-cleaning data-transformation dimensions etl facts keboola numpy pandas python3 snowflake sql star-schema

Last synced: 04 May 2026

https://github.com/epsoft/tensorflow-variables

Tensorflow Variables

numpy tensorflow variables

Last synced: 04 May 2026

https://github.com/h3ar7b3a7/exploringjupyterlab

This is just an exploration in using Jupyter Lab, Notebook and some useful Python libraries. Some basic commands, markups and extensions setup are documented here too.

bokeh extensions jupyterlab matplotlib notebook-jupyter numpy pandas

Last synced: 04 May 2026

https://github.com/megha060199/academic-erp

Python, SQL, Javascript

mysql numpy python

Last synced: 04 May 2026

https://github.com/kiritoind/neural-network-for-cat-image-classification

This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction

classification computer-vision deep-learning deep-neural-networks jupyter-notebook numpy python

Last synced: 05 May 2026

https://github.com/singh-dhruv/traffic-light-detection-and-recognition

Welcome to this repository! Here we explored the topic of traffic lights detection and its recognition for helping the Autonomous Vehicles in their interpretation of traffic lights and decision making while driving.

autonomous-driving computer-vision matplotlib-pyplot numpy python r-cnn tensorflow

Last synced: 05 May 2026

https://github.com/Zion-Dev1/E-commerce-Analysis

Short machine learning project which analyses customer behaviour 🔎

analysis clustering ecommerce machine-learning numpy pandas sklearn

Last synced: 24 Oct 2025

https://github.com/gunjangyl/rainfall_prediction_system

The Rainfall Prediction System is a machine learning-based web application that forecasts rainfall based on weather parameters like precipitation, temperature, and wind speed.

bootstrap css django html javascript jupyter-notebook numpy pandas python

Last synced: 20 Apr 2026

https://github.com/flazefy2/ds-customer_shopping

https://www.kaggle.com/datasets/bhadramohit/customer-shopping-latest-trends-dataset

data-science data-visualization jupiter-notebook numpy python sales shopping squarify statistics

Last synced: 05 May 2026

https://github.com/vineet416/chronic-kidney-disease-prediction

This repository contain code of Chronic Kidney Disease Detection Prediction Project. The goal of this project is predict the chronic kidney disease using parameters like Diabetes Mellitus, Blood Urea, Sugar, Hypertension etc.. I used multiple machine learning algorithms with hyperparameter tuning which is having highest accuracy score of 97.5

data-visualization data-wrangling exploratory-data-analysis feature-engineering feature-selection hyperparameter-tuning machine-learning matplotlib numpy pandas plotly pre-processing python seaborn sklearn-library statsmodels

Last synced: 14 Apr 2026

https://github.com/aryansk/geometric-transformation-visualizer

A comprehensive toolkit for visualizing various geometric transformations on both 2D shapes and images using Python. This project demonstrates fundamental geometric operations through interactive visualizations.

computer-vision matplotlib numpy opencv python

Last synced: 05 May 2026

https://github.com/hansalemaos/cythonnestednumpy

performs sorting and grouping operations on multidimensional NumPy arrays using Cython and hash-based algorithms.

cython hash numpy sorting

Last synced: 07 Jan 2026

https://github.com/mikediessner/benchfuncs

Benchmark functions to test optimisation algorithms.

benchmark-functions numpy optimization test-functions

Last synced: 17 May 2026

https://github.com/parmeetbhamrah/air-quality-india-analysis

Exploratory data analysis of real-time air quality data from Indian cities using Python, Pandas, Matplotlib, and Seaborn.

air-quality data-analysis eda exploratory-data-analysis government-data india matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/myounus-codes/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression

In this project I have cleaned the data for the model. Project Google Colab Link: https://colab.research.google.com/drive/1vQY-XEFJSdEkW2PQOSf1j13Yk8L-XXNw?usp=sharing

algorithms data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python

Last synced: 05 May 2026

https://github.com/dan-shields/rocketleagueirl

Rocket League comes to Real Life!

arduino numpy opencv2 python robotics rocket-league

Last synced: 05 May 2026

https://github.com/vochicong/ai-memo

Notebooks about machine learning (AI) math and tools

azure-notebooks colaboratory machine-learning math numpy

Last synced: 24 Feb 2026

https://github.com/heisenberg141/probability-based-boundary-detection

This Repository consists of implementation of probability based boundary detection algorithm which gives more accurate results than canny edge detection.

boundary-detection canny-edge-detection computer-vision edge-detection gabor-filters gaussian-filters image-gradients image-processing kmeans-clustering lm-filters numpy opencv python3 sobel-filter texton-maps

Last synced: 04 May 2026

https://github.com/lintangwisesa/python_recommendation_system

Basic recommendation system using Python & Sklearn

numpy pandas python recommendation-system sklearn

Last synced: 05 May 2026

https://github.com/harikrishnan669/python

Basic Python programs and Try outs..

matplotlib numpy pandas python tkinter tkinter-gui

Last synced: 27 Jan 2026

https://github.com/kishore-sr/creditworthy

AI-powered web app built at "Codeathon 2024" IIIT Bangalore

clerk-auth node-js numpy pandas python reactjs streamlit

Last synced: 11 Apr 2026

https://github.com/intscription/python-programs

Python basics-advance

numpy pandas scikit-learn

Last synced: 05 May 2026

https://github.com/rayyan9477/machine-learning-driven-backorder-prediction-system

Experience a state-of-the-art Django web application designed to predict product backorders with exceptional accuracy. This platform leverages advanced machine learning techniques, incorporating pre-trained Random Forest Classifier, Decision Tree, and LGBM models.

matplotlib notebook numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/avinesh-masih/employee-report-generator

A Python-based tool that reads employee and purchase data from Excel, generates personalized PDF reports using FPDF, and organizes them into folders. Includes a progress bar for tracking report generation.

excel flask fpdf matplotlib numpy pandas python seaborn

Last synced: 03 May 2026

https://github.com/antoniotejada/imageviewer

Simple but featured image viewer, designed for speed when browsing network drives and on low power computers like Raspberry Pi 2

image-processing image-processing-python image-viewer image-viewing imageviewer irfanview linux linux-app lxde numpy pyqt pyqt5 python python2 python27 qt qt5 raspberry-pi raspbian windows

Last synced: 22 Jan 2026

https://github.com/chirindaopensource/crypto_currencies_interest_rates

End-to-end Python Implementation of Bergault et al.'s (2025) methodology for constructing yield curves without traditional bonds. Implements inverse options replication, robust statistical methods, and closed-form analytical solutions for risk-neutral interest rate discovery in digital asset markets.

academic-research arbitrage-pricing cryptocurrency data-science defi derivatives econometrics financial-engineering interest-rates jupyter-notebook mathematical-finance numpy options-pricing pandas python quantitative-finance ransac risk-management robust-statistics yield-curve

Last synced: 04 May 2026

https://github.com/prakashjha1/stock-trend-prediction

Deep learning for predicting stock market prices and trends has become even more popular than before. I have used yahoo finance to collect the data and LSTM to build the stock trend model.

deep-learning keras lstm lstm-neural-networks machine-learning numpy pandas pandas-datareader prediction python rnn tensorflow

Last synced: 11 Apr 2026

https://github.com/anish202020/weather_prediction_model_21int68_internship

Predicts weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.

keras-neural-networks keras-tensorflow matplotlib numpy pandas sklearn

Last synced: 12 Apr 2026

https://github.com/musfiquejim/enacp-a-hybrid-machine-learning-framework-for-detecting-anticancer-peptides

EnACP: একটি Ensemble Learning মডেল যা অ্যান্টিক্যান্সার পেপটাইড সনাক্তকরণের জন্য ব্যবহৃত হয়।

adamoptimizer ai cnn-classification data-visualization deep-learning densenet inceptionv3 machine-learning matplotlib-pyplot numpy pandas randomforestclassifier randomforestregressor restnet sklearn u-net-pytorch vgg16 vgg19

Last synced: 04 May 2026

https://github.com/ladityagogoi/shadowguard

The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices

css flask html javascript joblib numpy pandas python scikit-learn

Last synced: 11 Apr 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/lin826/nanogpt-demo

Training and finetuning local GPTs.

gpt nanogpt numpy pytorch tqdm transformers

Last synced: 05 May 2026

https://github.com/vladd12/machine-learning-practice

Репозиторий для учебной практики и различных курсов, связанных с ИИ

json keras-tensorflow machine-learning numpy pandas pickle tensorflow2 torch xml

Last synced: 05 May 2026

https://github.com/bhaskarkulshrestha/rock-vs-mine-prediction

A machine learning project to predict whether an object detected underwater is a rock or a mine using Logistic Regression.

colab-notebook logistic-regression machine-learning numpy pandas python sckit-learn supervised-learning

Last synced: 05 May 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/sahu-sakshi/covid-19

A comprehensive data analysis project for COVID-19 pandemic data, featuring automated data collection, feature engineering, visualization tools, and exploratory analysis notebooks.

jupyter numpy pandas python3

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/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/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/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/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/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/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

📖 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/voidwalker7/mnist

MNIST Digit Detector Model using only Numpy

from-scratch-in-python mnist numpy python

Last synced: 05 May 2026

https://github.com/aathira2001/python-basics

Basic Python concepts with examples

functions numpy pandas python variables

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/nandinimarepalli/ai_ml_internship_projects

Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.

matplotlib numpy pandas python scikit-learn seaborn

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/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/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/hms75/movie_rating_analysis

A movie rating analysis which identifies trends amongst a dataset of 5000 movies.

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

Last synced: 05 May 2026

https://github.com/vikkiezdev/ai-global-index-analysis

This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.

cleaning-data correlation-analysis eda matplotlib numpy pandas python3 seaborn statistical-analysis

Last synced: 06 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/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv

kurtosis matplotlib-pyplot numpy pandas python seaborn skewness

Last synced: 06 May 2026

https://github.com/kashinathbiradar/bangalore-housing-price-prediction

The objective of the project is to create a machine learning model. We are doing a supervised learning and our aim is to do predictive analysis to predict housing price.

css deta doc html machine-learning matplotlib numpy pandas preprocessing seaborn sklearn sql

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/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/frolov-andrey2405/mandelbrot-s-fractal

Mandelbrot's Fractal Constructions

numba numpy pygame python

Last synced: 06 May 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