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/bursasha/pandas-numpy-matplotlib-cavies-analysis

Complete statistical analysis of cavy lifetime dataset using Python, Pandas, NumPy, Matplotlib, and SciPy to explore, visualize, and infer the impact of bacilli infection on cavy lifetimes 🦫

cavy dataset-analysis distribution-fitting hypothesis-testing jupyter-notebook matplotlib numpy pandas python-analysis scipy statistical-analysis statistical-methods

Last synced: 09 Feb 2026

https://github.com/sarowarahmed/predicting-kolkata-house-price

🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.

app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit

Last synced: 26 Feb 2026

https://github.com/harmanveer-2546/statistics-for-machine-learning

Statistical tools help you clean and organize your data. You can identify outliers, manage missing values, and ensure your data is in a format that the ML algorithms can understand.

inline matplotlib matplotlib-styles numpy pandas probability python seaborn statistics

Last synced: 18 Apr 2026

https://github.com/puureya2/catalogue-price-scraper

Scrape & store product prices with Selenium & BeautifulSoup4. Visually represent data with MatPlotLib,Personal Project

beatifulsoup4 chrome-webdriver matplotlib numpy pandas python python-csv selenium webscraping

Last synced: 16 Apr 2026

https://github.com/shakhthi/mlproject

This project is an end-to-end ML solution that predicts math scores from student attributes. It starts with ingesting and preprocessing data, followed by feature engineering to pinpoint key predictors. A robust model is then trained and fine-tuned before being seamlessly deployed to deliver real-time predictions.

jupyter-notebook matplotlib-pyplot numpy pandas python3 seaborn sklearn

Last synced: 16 Apr 2026

https://github.com/tzepart/choosing-oil-region

Choosing and initialisation a machine learning model that will help determine the region where production will bring the greatest profit with the least risk of loss.

matplotlib ml numpy pandas seaborn sklearn

Last synced: 16 Apr 2026

https://github.com/harmonicode/signal_equalizer

Signal Equalizer is a Python-based application designed to process and analyze various types of signal data, including audio and ECG signals. It provides functionalities for reading, processing, visualizing, and enhancing signal data using techniques such as Wiener filtering.

audio-processing numpy pyqt5 scipy signal-processing wiener-filter

Last synced: 13 Feb 2026

https://github.com/lexxai/goit_python_ds_hw_09

Модуль 9. Підбір гіперпараметрів НМ. Глибоке навчання. Tensorflow. Keras.

adam-optimizer data-science google-colab keras keras-tensorflow numpy python

Last synced: 16 Apr 2026

https://github.com/nagar2nd/ml-regressionmodel---cardekho-price-prediction

This repository features a machine learning model for predicting used car prices using data from CarDekho.com. The project leverages exploratory data analysis and regression techniques to empower sellers and buyers with actionable insights in the Indian used car market.

analytics cleaning-data data linear-regression machine-learning matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/bzubs/mlzero

Implementation of widely used ML algorithms in vanilla python

machine-learning machine-learning-algorithms machinelearning numpy python statistics

Last synced: 03 Mar 2026

https://github.com/khaymanii/calories-burnt-prediction-model

This model was built using Python and XGBoost Regression algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 16 Apr 2026

https://github.com/shiqilu77/machinlearning-lol_gaming

a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc

league-of-legends machine-learning numpy supervised-learning

Last synced: 16 Apr 2026

https://github.com/archish27/pythontutorial

Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications

matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup

Last synced: 01 Apr 2026

https://github.com/sahiltiwariiii/dssp

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit

Last synced: 27 Mar 2026

https://github.com/michaelgermini/python-3d-programming-book

Complete Python & 3D Programming Book: 30 chapters, 120+ examples, real-time ray tracing, ML graphics, OpenGL, NumPy

3d-graphics computer-graphics educational game-development graphics-programming machine-learning numpy opengl python ray-tracing tutorial

Last synced: 16 Apr 2026

https://github.com/hansalemaos/npchessimage

Creates a chessboard pattern as an image.

chessboard cv2 image numpy

Last synced: 05 Mar 2026

https://github.com/kodemartin/np-pd-portfolio

Portfolio of numpy, pandas, and matplotlib solutions

matplotlib numpy pandas

Last synced: 17 Apr 2026

https://github.com/neerajcodes888/a-novel-used-car-price-prediction-model-based-on-lindenoise

Welcome to the LinDenoise Repository! LinDenoise offers a smart solution for cleaning noisy data in regression tasks. Integrated seamlessly within the widely-used scikit-learn framework, it effortlessly enhances data quality while improving predictive accuracy

car-price-prediction deep-learning ipynb-notebook machine-learning numpy pandas python3 visualization

Last synced: 06 Mar 2026

https://github.com/psavarmattas/speechtotext

we shall build a very simple speech recognition system that takes our voice as input and produces the corresponding text by hearing the input.

facebook-api ipython librosa machine-learning numpy python pytorch soundfile transformers

Last synced: 02 Apr 2026

https://github.com/amirmohammadgholampour/mall-customer-segmentation

Project for segmenting customers in a shopping mall using the Clustering algorithm.

numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/offthetab/ml_homework

Практические работы по анализу данных МИРЭА 3 курс.

ml numpy pandas python shap sklearn xgboost

Last synced: 02 Apr 2026

https://github.com/davityak03/basics-of-python-

In this we have done multiple programs in python so as to develop the basic skill sets in python

array dictionary lists matrix numpy pandas programming python sets

Last synced: 02 Apr 2026

https://github.com/niteshchawla/clustering-ml

Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.

cluster-analysis clustering hierarchical-clustering k-means-clustering machine-learning numpy pca-analysis visualisation

Last synced: 17 Apr 2026

https://github.com/mnagaharshithrao/diamondpriceprediction

Diamond Price Prediction is a machine learning project that predicts the price of diamonds based on features like carat, cut, color, clarity, and more. Using models such as XGBoost, Random Forest, and Gradient Boosting, the project aims to accurately forecast diamond prices, helping buyers and sellers in the diamond industry make informed decisions

machine-learning numpy pandas sckiit-learn xgboost

Last synced: 17 Apr 2026

https://github.com/kiarashyavari/python_interview

Practice intermediate to advance topics of Python here

decorators generator multiprocessing multithreading numpy pandas python python3

Last synced: 17 Apr 2026

https://github.com/christiemj/clock-drift-simulation

A Monte Carlo simulation in Python to model vacuum-induced frequency drifts in atomic clocks, with code and visuals (experimental setup, simulated vs. real-world comparison, and drift graph), as described in "Probing Vacuum-Induced Clock Drifts via Quantum Metrology: A Testable Hypothesis" (DOI: 10.5281/zenodo.15163879). Licensed under GPL 3.0.

allan-variance atomic-clocks cesium-ion clock-drift matplotlib monte-carlo-simulation numpy open-science pandas physics precision-metrology python quantum-metrology research-software scipy simulation vacuum-fluctuations vacuum-noise

Last synced: 17 Apr 2026

https://github.com/khushi130404/binning-binarization

This project demonstrates binning and binarization on the Titanic dataset, comparing results with and without numeric encoding. Visualizations highlight the transformations and their impact on survival analysis.

binarization binarizer binning columntransformer decision-trees matplotlib numpy pandas

Last synced: 17 Apr 2026

https://github.com/mgitrov/cnn-on-cifar-10

A computer vision project aiming to classify random images uploaded by the user.

artificial-neural-networks computer-vision convolutional-neural-networks deep-learning keras matplotlib numpy pil regularization tkinter

Last synced: 17 Apr 2026

https://github.com/smartpottech/smartpot-datagenerator

SmartPot-DataGenerator simulates environmental and plant data (temperature, humidity, luminosity, pH, TDS, soil moisture) for hydroponic garden management. This data is used for testing, analysis, and visualization in the SmartPot web portal, helping optimize plant care without actual hardware sensors.

data-model matplotlib numpy python simulated

Last synced: 17 Apr 2026

https://github.com/noluyorabi/bravais-pearson-interactive

Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.

data-visualization interactive-analysis matplotlib numpy pearson-correlation scipy seaborn statistics streamlit

Last synced: 17 Apr 2026

https://github.com/mwoss/mownit

Various tasks from numerical analysis laboratories solved using Python

jupyter-notebook mathematics matplotlib numerical-analysis numpy python scipy

Last synced: 17 Apr 2026

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

numpy pandas python3

Last synced: 18 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_01

GoIT, Python Data Science, Homework number 1.

data-science google-colab jupyter-nootebook numpy numpy-arrays python

Last synced: 18 Apr 2026

https://github.com/27ahmad/movie-recommendation-system

Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.

movie-recommendation numpy pandas python scikit-learn

Last synced: 04 Apr 2026

https://github.com/pedroteixeiraw/variational_quantum_circuit_binary_classification

This project focuses on developing a Variational Quantum Circuit capable of performing Binary Classification between two classes: red wine and white wine, based on their characteristics using machine learning.

binary-classification cost-function json machine-learning matplotlib numpy pandas qiskit qiskit-machine-learning quantum-machine-learning scikit-learn training-data variational-circuit

Last synced: 04 Apr 2026

https://github.com/ccolpasm/pageviewanalyzer

PageViewAnalyzer analyzes and visualizes time series data of forum visits (2016-2019). It uses Pandas, Matplotlib, and Seaborn to create line plots, bar charts, and box plots, highlighting trends, monthly averages, and seasonality in page views. Perfect for data exploration with Python.

data-science matplotlib numpy pandas python

Last synced: 18 Apr 2026

https://github.com/jsnevt/regressao_linear

Regressão linear simples - Qual a velocidade se levou x distância para parar ?

linear-regression matplotlib numpy pandas python

Last synced: 18 Apr 2026

https://github.com/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

Last synced: 05 Apr 2026

https://github.com/dyceszn/i.duruohacos102

First-year deep dive into problem-solving with Python—featuring class practices and projects using NumPy, Pandas, Tkinter, and psycopg2.

numpy psycopg2 python tkinter

Last synced: 18 Apr 2026

https://github.com/nksmanya/virtual_canvas

A hand gesture-based drawing app that lets you create art in the air using hand movements

mediapipe numpy opencv opencv-python python

Last synced: 18 Apr 2026

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

Last synced: 05 Apr 2026

https://github.com/ahmaruff/kmeans-img-compress

Simple python image compression library using K-Means clustering

color-quantization image-compression image-processing kmeans kmeans-clustering numpy python

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/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

Last synced: 18 Apr 2026

https://github.com/amdjadouxx/my_neural_network

implementation of a neural network library

deep-neural-networks ia machine-learning numpy python3

Last synced: 18 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/vtorres09/projetomonitoriaip

📋 Data analysis of a dataset created to select students to be teacher assistant (Introduction to Programming).

numpy object-oriented-programming pandas python

Last synced: 20 Apr 2026

https://github.com/aminnj/numpy.jl

Simple numpy snippets implemented in julia

joke julia maybenot numpy python

Last synced: 20 Apr 2026

https://github.com/byrongomezjr/traffic_sign_detection

Deep learning system to detect stop signs and traffic lights using Keras' image recognition capabilities

keras matloptlib numpy python tensorflow

Last synced: 20 Apr 2026

https://github.com/souvikmajumder26/neural-network-from-scratch

🚀 Building a simple Neural Network to classify the images of the Fashion-MNIST dataset, using only numpy and no TensorFlow, Keras, or PyTorch.

config fashion-mnist logger neural-network neural-network-from-scratch notebook-jupyter numpy project python

Last synced: 21 Apr 2026

https://github.com/refraction-ray/numkl

A thin cython/python wrapper on some routines from Intel MKL

cython-wrapper lapack mkl numpy

Last synced: 21 Apr 2026

https://github.com/dataspieler12345/user_journey_analysis_project

User Journey Analysis in Python Project Create your own functions and tools to analyze user journey strings in Python.

matplotlib numpy pandas

Last synced: 24 Apr 2026

https://github.com/pawpaw2022/proj03-math-painting

An app that lets the user provide the start coordinates of geometrical shapes such as squares and rectangles, their dimensions, and their colors, and the program produces an image file canvas with all the geometrical shapes drawn in it. (Click the link below to see the demo)

numpy pillow python

Last synced: 24 Apr 2026

https://github.com/pedroteixeiraw/predicting_football_match_results

This project focuses on modelling the attacking and defensive strength of teams in the Portuguese First League of Football, along with the impact of home advantage.

bayesian-hierarchical-models dixon-coles matplotlib numpy pandas poisson-distribution pymc3 seaborn theano-models

Last synced: 26 Apr 2026

https://github.com/prathush-kumar/fake_news_detection

Developed an intelligent system to identify and classify fake news articles using Natural Language Processing (NLP) and Machine Learning techniques.

classification machine-learning natural-language-processing numpy pandas sklearn-library

Last synced: 26 Apr 2026

https://github.com/whiteshadow1234/guessthenumber

This is the python code for teaching high school students python

math numpy python3 random teaching-materials turtle

Last synced: 27 Apr 2026

https://github.com/josttim/timelined_array

Manage easily 1 or multidimensionnal samples numpy arrays that are time related. Extends numpy without removing any of it's abilities on such arrays.

numpy python time-series-analysis

Last synced: 27 Apr 2026

https://github.com/crispengari/netflix-statistics

This is the visualisation of two categories of netflix movies which are: * movies * tv shows

data-science datafram jupyter-notebook matplotlib numpy pandas python

Last synced: 27 Apr 2026

https://github.com/saptarshi11/diamlp---diabetes-classification-with-multilayer-perceptron

Diabetes Classification using Multilayer Perceptron (MLP) is a binary classification problem where the goal is to predict whether a patient has diabetes (positive class) or not (negative class) based on a set of biomedical features or risk factors.

artificial-neural-networks binaryclassification machine-learning mlp-classifier numpy seaborn

Last synced: 27 Apr 2026

https://github.com/lesterevse/numvision

Artificial Intelligence for recognizing numbers

artificial-intelligence numpy

Last synced: 27 Apr 2026

https://github.com/binoydipu/ml-libraries

Machine Learning Libraries Repository

machine-learning numpy

Last synced: 28 Apr 2026

https://github.com/ronverse17/automate-data-cleaning

This project automates messy data cleaning tasks - like fixing column names, filling missing values, and spotting outliers, so analysts and data scientists can spend more time on insights, not preprocessing.

numpy pandas pipeline python

Last synced: 28 Apr 2026

https://github.com/gregoritsch3/dl_cnn_resnet50_digitrecognition

A Deep Learning Computer Vision project on the MNIST Digit Dataset. The project demonstrates the use of four TensorFlow Neural Network architectures, ranging from a basic Shallow Sigmoid Model to a Deep Convolutional Model constructed using the FunctionalAPI, and even a modified Resnet50 Model. Includes Error Analysis and test runs on real images.

cnn convolutional-neural-networks cv2 keras matplotlib numpy resnet-50 tensorflow

Last synced: 28 Apr 2026

https://github.com/jovicdev97/financial-loan-datascience-notebook

using numpy and pandas to analyze a synthetic loan dataset with python

data-analysis matlabplot numpy pandas plotting python seaborn

Last synced: 28 Apr 2026

https://github.com/anshpg/popularity-based-book-recommendation-system

I developed a popularity-based book recommendation system using Google Colab, leveraging libraries like pandas, numpy, and matplotlib. The dataset was obtained from Kaggle.com, consisting of three CSV files: books.csv, ratings.csv, and users.csv.

collab csv kaggle-dataset matplotlib-pyplot numpy pandas python

Last synced: 28 Apr 2026

https://github.com/robinhosz/traffic-data-analyzer

This repository presents a project for urban traffic signal optimization using Reinforcement Learning (RL) to improve traffic flow, increase safety at intersections, and promote energy efficiency in cities. Using the "Traffic Volume Counts" dataset from Kaggle.

data-analysis-python kaggle-dataset numpy pandas python traffic-analysis

Last synced: 28 Apr 2026

https://github.com/shreeparab1890/indian-elections-2019-analysis-eda

This ipython notebook is the Exploratory data analysis (EDA) of the Indian Lok Sabha Elections 2019.

data data-analysis data-science data-visualization eda exploratory-data-analysis matplotlib numpy pandas plotly python python3 visualization

Last synced: 28 Apr 2026

https://github.com/semanticdata/traffic-studies

Comprehensive traffic analysis dashboard for Crystal, Minnesota, built with Streamlit.

matplotlib numpy pandas plotly python seaborn streamlit

Last synced: 28 Apr 2026

https://github.com/technologicat/pylu

Small nogil-compatible linear equation system solver

cython linear-equations numerical numpy python python2 python27 python3 python34 solver

Last synced: 28 Apr 2026

https://github.com/redinfinitypro/drawimages

Rating: (8/10) The code uses Python's Turtle module to create a canvas image, converting it to grayscale, and then placing dots at each pixel's location based on its intensity.

numpy pil random turtle

Last synced: 28 Apr 2026