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/rohansoni45/ipl-win-predictor

A machine learning model that predicts the outcome of IPL matches based on historical data and player performance. Built using Python and libraries like Pandas, NumPy, and scikit-learn. This project demonstrates the use of classification algorithms to predict match outcomes.

classification data-science ipl machine-learning model-evaluation numpy pandas python sklearn sports-analytics

Last synced: 08 May 2026

https://github.com/alz-11/ftoc

Fahrenheit to Celsius conversion analysis, comparing accurate and approximate methods with visualizations and error analysis.

approximation celsius conversion data-visualization error-analysis fahrenheit fahrenheit-to-celsius jupyter jupyter-notebook matplotlib numpy python python-3 python3

Last synced: 08 May 2026

https://github.com/moustafamohamed01/data-analysis-ecommerce-purchases

Data Analysis : Analyzing (Ecommerce Purchases) dataset from Kaggle

jupiter-notebook numpy pandas python

Last synced: 08 May 2026

https://github.com/deepcloudlabs/dcl702-2020-sep-16

DCL-702: Data Analytics using Python

data-analytics numpy pandas python python-3

Last synced: 08 May 2026

https://github.com/0290192029/apartment-price-predictor

Python-проект по прогнозированию стоимости аренды квартир с помощью линейной регрессии. Практическая работа по теме: "Основы машинного обучения" дисциплины "МДК 13.01: Основы применения методов искусственного интеллекта в программировании".

apartment-price-prediction apartments-for-rent api correios-api data-analysis feature-engineering feature-enginering linear-regression linear-regression-models mlops numpy prediction-model r seaborn

Last synced: 08 May 2026

https://github.com/samaalharbi2/100-days-of-code

This repository is a collection of 100 Python projects built as part of the "100 Days of Code: Python Developer Challenge" course.

data-science game-development machine-learning numpy pandas python udemy

Last synced: 08 May 2026

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

ML models & data processing utilities written from scratch as practice.

data-science machine-learning numpy pandas

Last synced: 08 May 2026

https://github.com/mzayles/analise-descritiva.py

Curso Programação em Python para Data Science | Análise descritiva e mensuramento de dados de um report consolidado utilizando matplotlib.

matplotlib numpy pandas python

Last synced: 08 May 2026

https://github.com/saurabh274/aerofit-statistics-and-probability

The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.

matplotlib-pyplot numpy pandas probability python seaborn statistics

Last synced: 08 May 2026

https://github.com/amiralisajadi/image-classification-neural-network

Custom deep learning model for binary image classification. Entirely built from scratch in Python with NumPy, including all ML functions, activations, and optimizations.

deep-learning image-classification image-classification-model machine-learning neural-networks numpy

Last synced: 08 May 2026

https://github.com/raghavendranhp/predictive-analytics-in-automotive-manufacturing-testing-time-optimization

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

elasticnet extratreesregressor fastica model-pipeline numpy pandas pca randomforestregressor svr-regression-prediction xgboost

Last synced: 09 May 2026

https://github.com/jsnevt/series_temporais

Previsão de eventos que ocorrem sazonalmente

datetime matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/jupfu/beck-view-digitalize

Digitalize 16mm films with Python & reactivex & FT232H

cython ft232h libpng multiprocessing numpy opencv python3 reactivex um232h

Last synced: 09 May 2026

https://github.com/kemalcalak/developing-driverless-vehicles

This project includes the software required for an autonomous vehicle

numpy object-detection opencv segmentation yolo

Last synced: 09 May 2026

https://github.com/mahmood-anaam/deterministic-dynamic-programming

This repository explores deterministic dynamic programming solutions for the Shortest Path Problem (SPP) and the Traveling Salesperson Problem (TSP). It includes graphical representations, a detailed Jupyter notebook, and practical implementations for optimizing travel routes and minimizing costs in various city-based scenarios.

dynamic-programming graph-theory jupyter-notebook numpy python shortest-path-problem traveling-salesperson-problem

Last synced: 09 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/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/moonshallow5/food_vision_mini

A program which can detect if an image contains either a pizza, sushi or steak: Has now been deployed on Flutter :)

huggingface matplotlib numpy pytorch

Last synced: 09 May 2026

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

Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑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/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/sivasurya681/financial-expense-tracker

The Financial Expense Tracker is a Python-based app built with Flet, Pandas, NumPy, and Matplotlib.pyplot for seamless expense management. It enables real-time tracking, categorization, and data visualization through bar and pie charts. Users can generate summaries, export/import data, and make informed financial decisions easily.

calculator-application differntial expense-tracker flet matplotlib-pyplot numpy pandas python salary-calculator total

Last synced: 09 May 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/sanjurajveer/market_basket_analysis

Finding pattern of bought objects through market basket analysis

apriori-algorithm association-rules numpy pandas python seaborn

Last synced: 09 May 2026

https://github.com/raduldev/datasciencepython

Interview Task From CSIR-IGIB, Delhi & maps for journal

biopython colab-notebook counter jupyter-notebook matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/arjunravi26/selenium

This repository contains code from my learning about Selenium for web scraping and automation.

numpy python selenium time undetected-chrome webdriver

Last synced: 09 May 2026

https://github.com/vadimkantorov/fasttsv

TSV parser for Python in pure vectorized NumPy code

numpy parsing simd tsv vectorized-code

Last synced: 09 May 2026

https://github.com/alexgustafsson/word-frequencies

Data and tools to compile word frequencies, trigrams and more for use with NLP, spelling correction etc.

language nlp nltk numpy python python3 sklearn spelling-correction trigram

Last synced: 10 May 2026

https://github.com/alphacrypto246/air-quality-prediction

The Air Pollution Prediction project forecasts pollution levels using the Air Quality UCI dataset, including variables like CO, NOx, temperature, and humidity. It analyzes temporal and environmental factors to predict air quality trends.

machine-learning numpy pandas scikitlearn-machine-learning sckiit-learn

Last synced: 10 May 2026

https://github.com/esoltys/climate_data_viz

FastAPI-based web application that fetches and visualizes climate data from the Copernicus Climate Data Store (CDS).

apache-echarts copernicus-climate-data-store fastapi numpy

Last synced: 10 May 2026

https://github.com/shibam120302/all_about_python

Here I upload python from basic to advance ,oops in python, dsa using python system design, numpy, pandas, data science, ML also. Follow @shibam120302 and star this repo.

numpy numpy-arrays oops-in-python pandas python python-dsa python-library python3 system-design tabula

Last synced: 10 May 2026

https://github.com/jjerphan/joml

A minimalist numpy-baked Neural Network API

deep-learning fun minimalist neural-network neural-networks numpy python wheel-implementing

Last synced: 10 May 2026

https://github.com/florasteve/ml-foundations-day2

Day-2 ML foundations: probability/stats refresh and NumPy logistic regression; notebooks with visuals.

data-science jupyter-notebook logistic-regression machine-learning matplotlib numpy statistics

Last synced: 10 May 2026

https://github.com/shubhansu-kr/int213-python-programming

Python Programming | Semester 3 | Python | OOPS | Tkinter | Pandas | Numpy

lpu numpy oops-in-python pandas python sem3 tkinter-gui

Last synced: 10 May 2026

https://github.com/andersoncrs/aprendizaje_no_supervisado_kmeans_customers

Este repositorio contiene un análisis de datos de clientes de un centro comercial utilizando técnicas de aprendizaje no supervisado, específicamente K Means y clustering jerárquico. El objetivo del proyecto es segmentar a los clientes en grupos homogéneos para entender mejor sus comportamientos y características.

data-analysis kmeans-clustering matplotlib numpy seaborn visualization

Last synced: 10 May 2026

https://github.com/velascort/image_equalizer_gui

Image equalizer using LUT interface.

image-processing lut numpy python scikit-image ttk

Last synced: 10 May 2026

https://github.com/jsnevt/regressao_logistica

Cálculos de probabilidades sobre uma eleição

matplotlib numpy pandas-dataframe python

Last synced: 11 May 2026

https://github.com/adityarohatgi11/regression_analysis_london_crime

This project examines how police presence impacts crime rates in London using regression analysis, panel data, and a natural experiment from the 2005 London attacks.

data-wrangling numpy pandas regression-analysis statsmodels

Last synced: 11 May 2026

https://github.com/chaganti-reddy/heart_disease_prediction

Machine Model creation for Heart Disease Prediction

data-science deep-learning machine-learning numpy python

Last synced: 11 May 2026

https://github.com/mihirh19/uber-analysis

Uber's 2016 dataset analysis offers insightful information about the company's operations and user behaviour. Patterns and trends can be discovered by looking at variables like trip time, distance travelled, and pickup/drop-off locations. Uber may use this information to detect high-demand locations, increase overall efficiency, and optimise driver

matplotlib numpy opendatasets pandas seaborn

Last synced: 11 May 2026

https://github.com/diogoribeiro7/vortex2d

2D vortex particle method (Gaussian-core) with RK4, viscosity, plots, animations

cfd matplotlib numpy python simulation vortex-method

Last synced: 12 May 2026

https://github.com/jsnevt/knn_neighborhood

ML - classificação por vizinhança

kneighborsclassifier matplotlib numpy pandas seaborn

Last synced: 13 May 2026

https://github.com/andydevs/optipy

Optimization algorithms written in python

numpy optimization optimization-algorithms

Last synced: 13 May 2026

https://github.com/gmcgibbon/udacity-dlnd-project-1

Udacity Deep Learning Nanodegree - Project 1

deep-learning jupyter-notebook nn numpy udacity

Last synced: 13 May 2026

https://github.com/chicoyildiz/python-raytracing-demo

Interactive Python ray tracer (numpy + pygame) with a ceiling camera, dynamic resolution scaling, and a glowing bouncing fireball.

numba numpy python python3 raytracing

Last synced: 14 May 2026

https://github.com/khushi130404/gradient_realm

Gradient_Realm is a Python project exploring regression techniques and optimization methods like Regularization, Batch, Stochastic, and Mini-batch Gradient Descent. It uses scikit-learn and custom implementations for hands-on learning.

batch-gradient-descent mini-batch-gradient-descent numpy stochastic-gradient-descent

Last synced: 14 Jun 2026

https://github.com/pnguyen215/pycelize

Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.

excel lib numpy openpyxl pandas py-app pycelize python-service python3

Last synced: 17 Jun 2026

https://github.com/jayemscript/lab-to-code

A complete Python learning roadmap for scientists and researchers — covering data science, biology, chemistry, physics, and mathematics with curated libraries, tools, and resources.

bioinformatics chemistry data-science jupyter-notebook machine-learning mathematics numpy pandas physics python research roadmap scientific-computing scikit-learn

Last synced: 19 Jun 2026

https://github.com/lmlk-seal/pyspeed

Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.

analyzer customtkinter gui intelligent numpy optimization optimization-tools performance python real-world-problem-solving

Last synced: 23 Jun 2026

https://github.com/charlenry/python_math_machine_learning

Mes notebooks de travaux pratiques sur Python, NumPy, SimPy, SciPy, Matplotlib, Plotly, Seaborn et les Mathématiques pour le Machine Learning

algebra derivatives functions jupyter linear matplotlib matrix numpy plotly probabilities pyplot python pytorch scipy seaborn sklearn statistics sympy tensorflow time

Last synced: 25 Jun 2026

https://github.com/huggon1/ml-algorithm-implementations

Educational implementations for ML, DL, LLM blocks, ViT, and CUDA.

cuda machine-learning numpy pytorch vision-transformer

Last synced: 28 Jun 2026

https://github.com/riju18/from-data-production-to-client-handover

The common tedious problem is to build a data app to demonstrate the data analysis & analytics along with Machine Learning to a client. It was an attempt to do it on small scale in the most powerful & simplest way.

machine-learning matplotlib numpy pandas plotly python seaborn streamlit

Last synced: 30 Apr 2026

https://github.com/talapanenivarshithchowdary/asteroid-detection-ml

This project uses Machine Learning to detect and classify asteroids based on trajectory and size, aiding in Near-Earth Object detection and planetary defense.

classification data-science decision-trees jupyter-notebook knn logistic-regression machine-lea matplotlib numpy pandas pillow prediction python3 random-forest scikit-learn

Last synced: 11 Apr 2026

https://github.com/amanyadav-07/customer-churn-prediction

Machine Learning project to predict customer churn using Logistic Regression, Random Forest, and XGBoost. Includes data preprocessing, feature engineering, SMOTE balancing, model training, evaluation, and business insights.

accuracy-metrics data-analysis data-visualization logistic-regression machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn sklearn xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/mgitrov/lifespan-x-population-status

A machine learning project aiming to predict animals' lifespan and population status.

bs4 data-science machine-learning matplotlib numpy pandas python regular-expressions requests seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/egorumaev/2023-cirrhosis-outcomes

Прогнозирование исхода лечения пациентов с циррозом печени

catboost imblearn iqr lda matplotlib numpy pandas pca phik pipeline sklearn t-sne xgboost

Last synced: 08 May 2026

https://github.com/bunu23/image-classification

This repository contains a notebook implementing a Convolutional Neural Network for multi-class image classification using transfer learning with a pre-trained ResNet-50 model. Covers dataset handling, model architecture customization, training, evaluation, fine-tuning, and external image prediction.

keras matplotlib numpy pil python tensorflow

Last synced: 11 Apr 2026

https://github.com/bhawnamehbubani/advanced-zomato-restaurant-clustering-and-sentiment-analysis

This project leverages this data to perform clustering and sentiment analysis, providing actionable insights for customers and business growth.

matplotlib-pyplot nltk numpy pandas seaborn sklearn wordcloud

Last synced: 05 May 2026

https://github.com/emhash/numpy-tutorial

Just simple tasks of practice of NumPy library of python

numpy numpy-library numpy-tutorial python

Last synced: 11 Apr 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. It’s a great way to see how different factors influence student performance.

matpolotlib numpy pandas python

Last synced: 03 Feb 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/matiassenia/modelo-prediccion-temperatura

Proyecto de machine learning que utiliza TensorFlow para predecir temperaturas en grados Fahrenheit a partir de temperaturas en grados Celsius. Incluye un script de Python para entrenar el modelo y realizar predicciones, así como datos de entrenamiento y visualizaciones

adam-optimizer machine-learning numpy python python3 tensorflow

Last synced: 11 Apr 2026

https://github.com/chokzb/covid19_vaccination_analysis

An EDA project examining global COVID-19 vaccination progress. The notebook investigates vaccination trends by country, daily vaccination rates, timeline patterns, and dose distribution. The project includes visualisations created with Matplotlib, Seaborn, and Plotly.

covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas plotly python seaborn vaccination

Last synced: 07 May 2026

https://github.com/stdlib-js/blas-ext-linspace

Return a new ndarray filled with linearly spaced values over a specified interval along one or more ndarray dimensions.

arange arrange javascript linear linspace math mathematics matlab ndarray node node-js nodejs numpy seq sequence statistics stats stdlib

Last synced: 04 May 2026

https://github.com/faizantkhan/numpy

NumPy Practice Repository Dive into the world of numerical computing with our collection of NumPy exercises. Perfect for beginners and seasoned programmers alike, this repository offers a range of challenges to sharpen your array manipulation and data analysis skills.

data-science library machine-learning numpy numpy-arrays numpy-library numpy-python outlier outlier-detection python pythonlibrarires tutorial

Last synced: 21 May 2026

https://github.com/ecrows/flippy

Python command-line utility for generating videos from image directories.

data-science image-processing numpy opencv python python3 video video-processing visualization

Last synced: 04 Mar 2026

https://github.com/xiaohaoo/machine-learning-examples

机器学习使用不同框架的常见模型的例子

keras matplotlib numpy python pytorch sklearn tensorflow

Last synced: 11 Apr 2026

https://github.com/alexquar/whatisthatdog

Mobile App built using react-native that will send api requests for classifying dog breeds to a flask api server containing a custom built CNN made with pytorch trained on the Stanford dog dataset. To take a look at some examples checkout some images from my portfolio linked here.

aws ec2 expo flask gunicorn matplotlib-pyplot numpy pandas pytorch react-native seaborn typescript

Last synced: 11 Apr 2026

https://github.com/jo-minseok/global-warming-100year

🌡️ 2100년까지의 지구 기온, 해수면, 북극 빙하, 탄소 예측 ML [완료]

arima-model global-warming machine-learning matplotlib numpy pandas scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/ashishsingh789/traffic_accident_analysis

Analyzed traffic accident data to identify patterns related to road conditions, weather, and time of day. Visualized accident hotspots using heatmaps and bar plots.

excel matplotlib numpy pandas pandas-dataframe python seborn

Last synced: 11 Apr 2026

https://github.com/harmanveer-2546/nasa-asteroid-classification

Classifying whether an asteroid is hazardous or not.

eda matplotlib numpy pandas python seaborn visualization xgboost

Last synced: 11 Apr 2026

https://github.com/rahul-shrivastav/digit-recognition-nn

Web application that recognizes handwritten digits using a deep learning model

deep-learning flask numpy python reactjs tensorflow

Last synced: 11 Apr 2026

https://github.com/naveen88112/final_education

Student Performance Prediction This project examines the student performance data, pre-processes the features, and implements machine learning methods (Random Forest) for the forecasting of final grades. The data is subjected to exploratory data analysis (EDA) and feature engineering prior to model training and assessment.

data-preprocessing exploratory-data-analysis machine-learning model-evaluation numpy pandas python

Last synced: 11 Apr 2026

https://github.com/broodhoney/titanic-ml-from-disaster

This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data

machine-learning numpy pandas python scikit-learn scikitlearn-machine-learning

Last synced: 11 Apr 2026

https://github.com/anshpg/vectorwave

The Jupyter Notebook (ipynb file) contained within this repository serves as the primary codebase for this project. It demonstrates how to preprocess the input data, train the logistic regression classifier, evaluate its performance, and save the trained model for future use.

collab jupyter-notebook matplotlib-pyplot numpy pandas python sklearn

Last synced: 11 Apr 2026