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

NumPy

NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

https://github.com/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/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/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/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/tfiers/unitlib

📐 Physical units for NumPy arrays \ ⏱ Fast • Simple • High voltage

numpy python scientific-computing unitlib units

Last synced: 13 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/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/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/frolov-andrey2405/mandelbrot-s-fractal

Mandelbrot's Fractal Constructions

numba numpy pygame python

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/mat-kubiak/manual-ml

DIY ML framework (using only NumPy!) + various demos

artificial-intelligence examples machine-learning ml ml-framework neural-networks numpy

Last synced: 06 May 2026

https://github.com/5hraddha/optimize-oil-well-locations

In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.

linear-regression numpy pandas scikit-learn supervised-learning

Last synced: 06 May 2026

https://github.com/claby2/ascii-generator

Python program to convert images into ASCII art.

ascii numpy optparse pillow python

Last synced: 13 May 2026

https://github.com/paulo-santos-ds/llm

Um aplicativo web simples de tradução que converte texto do português para o inglês, construído com Streamlit e Google Translator

deeptranslate googletranslate numpy pyngrok python streamlit

Last synced: 06 May 2026

https://github.com/elmezianech/classifyreviews_nlp

Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.

accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc

Last synced: 06 May 2026

https://github.com/albert-2002/robust-penalized-empirical-likelihood-estimation-method-for-linear-regression

Implementation for the paper titled: Robust Penalized Empirical Likelihood Estimation Method for Linear Regression

linear-regression machine-learning numpy pandas python regression regression-analysis statistics

Last synced: 06 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/williyam-m/company-registration-trends

Utilized Linear Regression from scikit-learn to predict future company registration trends.

flask matplotlib numpy pandas-python scikit-learn

Last synced: 06 May 2026

https://github.com/kavayk29/text-summarization-fine-tuning-pegasus-model

This project uses the Pegasus model to generate concise, coherent text summaries. Fine-tuned on large datasets, it excels in abstractive summarization, ideal for automating tasks like summarizing articles and research papers.

datasets huggingface-transformers matplotlib nltk numpy pandas teansform tqdm

Last synced: 06 May 2026

https://github.com/timeless-residents/handson-tensorflow-numpy

A practical guide to learning and using TensorFlow and NumPy for data manipulation and machine learning

data-science machine-learning numpy tensorflow tutorial

Last synced: 06 May 2026

https://github.com/piero24/lossfuncition-4sn

This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.

dataset deep-learning deep-neural-networks loss loss-functions matplotlib neural-network numpy opencv polyp-detection polyp-segmentation python python3 pytorch segmentation segmentation-models torchvision transformers unipd unipd-dei

Last synced: 06 May 2026

https://github.com/bartosz-ziolkowski/social_data

Data analysis of San Francisco's crime data set from 2003 to 2018

data-science data-visualization jupyter-notebook numpy pandas python

Last synced: 06 May 2026

https://github.com/zotho/grav_euler

Euler gravity compute

gravity numpy python

Last synced: 06 May 2026

https://github.com/jcbritobr/iris-python

Simple data analysis using iris dataset, pandas, numpy, matplotlib and seaborn.

data-science matplotlib numpy pandas python seaborn

Last synced: 06 May 2026

https://github.com/jonolav95/advent_of_code_2022

Using Python with Pandas and Numpy (www.adventofcode.com).

numpy pandas

Last synced: 06 May 2026

https://github.com/kianaabrisham/svm-from-scratch

Linear SVM from scratch with hinge loss + decision boundaries

classification from-scratch fundamentals hinge-loss numpy optimization scikit-learn svm

Last synced: 07 May 2026

https://github.com/chandkund/pytorch

Foundational introduction to PyTorch, focusing on the basics of tensors, their creation, manipulation, and operations, which are essential for understanding and building deep learning models

classification computer-vision cuda-programming deep-learning loss-functions matplotlib numpy optimization pandas pyhton pytroch workflow

Last synced: 07 May 2026

https://github.com/waghraj1699/ipl-win-probability-predictor

Web app to predict live probability of win percentage of match

data-preprocessing machine-learning ml-algorithms numpy pandas

Last synced: 07 May 2026

https://github.com/ai-ahmed/bda-and-ds

Dual Course: EMC2 Data Scientist & Big Data Analytics & IBM Professional Data Science Course

analytics big-data data-science jupyter-notebook jupyterlab linear-algebra mathematics matplotlib ml numpy pandas probability seaborn sklearn statistics

Last synced: 07 May 2026

https://github.com/shantanudhanawade/mini-projects

Price prediction with linear regression

matplotlib-python numpy pandas scikit-learn-python

Last synced: 07 May 2026

https://github.com/mgitrov/kulo-chatbot

A retrieval based chatbot aiming to simulate human-like conversation with the user via text messages on chat.

artificial-neural-networks bag-of-words deep-learning json keras lemmatization natural-language-processing nltk numpy tkinter tokenization

Last synced: 07 May 2026

https://github.com/alekiie/streamlit-dashboard

A dashboard that utilizes the power of streamlit charts to create intuitive and easy to understand charts for data visualization.

data-visualization matplotlib numpy pandas python3 streamlit

Last synced: 07 May 2026

https://github.com/ebadshabbir/bluff-detection-model-polynomial_regression-

This project predicts employee salaries based on position levels using Linear and Polynomial Regression models. It trains models with degrees 2, 3, and 4 on a dataset of job titles, position levels, and salaries, and predicts the salary for a position level of 6.5. The results are visualized to compare model performance.

jupyter-notebook linear-regression machine-learning matplotlib-pyplot multiple-linear-regression numpy polynomial-regression python

Last synced: 07 May 2026

https://github.com/shivangmathur1/simple-qlearning

Solving gym environments using Numpy Qtables and Q-learning

gym numpy qlearning

Last synced: 07 May 2026

https://github.com/pereira-elizabeth/aah-2d-hermitian

Minimal 2D AAH model: build, diagonalize, and plot spectrum (NumPy/Matplotlib)

condensed-matter numpy physics scipy tight-binding

Last synced: 07 May 2026

https://github.com/maxencebonamy/ascii-webcam

You can see yourself in real time through characters in a terminal. This project is an enhancement of another project which consists in converting an image to ASCII format, which allows, in a way, to compress it.

ascii numpy opencv python webcam

Last synced: 07 May 2026

https://github.com/christabelsakyi/sentiment_analysis

This project involves analyzing customer reviews to classify them as positive or negative using Logistic Regression. The workflow includes text preprocessing, feature extraction, training a model, making predictions, and evaluating its performance. Dataset

imblearn machine-learning nltk numpy python sklearn

Last synced: 07 May 2026

https://github.com/jnayak1/naive_bayes_cars

Using Naive Bayes and SGD ML algorithms to predict if a new car will decrease in price

cars machine-learning naive-bayes numpy sklearn

Last synced: 07 May 2026

https://github.com/prajakta1321/exoplanet-atmospheric-characterization-1

A machine learning project to classify exoplanets using light curve image data. Developed as part of the ML4SCI GSoC 2025 Test Task. Includes data processing, CNN-based model, and full report.

classification colab-notebook dbscan gsoc-2025 machine-learning-algorithms matplotlib-python ml numpy open-source pca-analysis python3 seaborn

Last synced: 07 May 2026

https://github.com/navid-kalaei/numpy-neural-network

Neural network implemented in Numpy to predict bike sharing on real data

deep-learning neural-network numpy python

Last synced: 07 May 2026

https://github.com/c-mohammed-zaid/python

A diverse collection of Python projects showcasing skills in game development, data manipulation, and utility tools, including classic games, encryption, and data analysis.

jupyter-notebook matplotlib numpy pandas python scipy turtle

Last synced: 06 Jan 2026

https://github.com/alphan26/humidityregressor

This project involves developing a model to predict relative humidity using PyTorch. The model was trained on a dataset containing monthly data, with the goal of forecasting the relative humidity for the subsequent month.

matplotlib numpy pandas python pytorch

Last synced: 11 Apr 2026

https://github.com/chmohit91/Introduction-to-Python

A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners

matplotlib numpy pandas plotly python python-library python3 seaborn

Last synced: 21 Jul 2025

https://github.com/ds-python-programmers-spectrum/flipkart-sentimental_analysis-app

The Flipkart Sentiment Analysis project aims to analyze customer reviews of Flipkart products using Natural Language Processing (NLP) and visualize insights through a Streamlit-based web application. This system will classify customer feedback as positive, negative, or neutral

machine-learning nltk numpy pandas sentiment-analysis streamlit-webapp textblob vader-sentiment-analysis

Last synced: 22 Jun 2025

https://github.com/byteshiva/getmaplocation

Automate Dummy data from the open data source. Parse International Address, Geopy to automate map locations using lat and lon, Cache geopy map location calls using sqlite3, Use Pandas to parse and convert CSV to JSON

csv-parser geopy json numpy pandas pandas-dataframe parser pickle python3 sqlite3

Last synced: 18 Apr 2026

https://github.com/sayan520/titanic-data-insights

Conducting data analysis on Kaggle's Titanic: Machine Learning from Disaster dataset using essential data wrangling, exploratory data analysis (EDA), and visualization techniques to uncover insights, identify patterns, and explore factors influencing passenger survival.

jupyter-notebook kaggle matplotlib numpy pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/tnleite/credit-card-customer-clustering

Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.

classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn

Last synced: 07 May 2026

https://github.com/rahulsm20/insurance-data

A data analytics project dealing with risk assessment and it's effects in health insurance.

data-analysis data-analytics machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/sofiaalmaz/fanfictionproject

Анализ фанфиков по Гарри Поттеру с целью написания самого популярного фанфика

analysis fanfics fanfiction harry-potter jypyternotebook matplotlib ml networkx numpy pandas python scipy seaborn streamlit wordcloud

Last synced: 06 Jan 2026

https://github.com/naveen88112/healthcare

HealthCare Data Analysis and Forecasting This project examines healthcare data by processing missing values with KNN imputation, preprocessing features, and training classification models (Logistic Regression and Random Forest). The output includes performance metrics such as accuracy, confusion matrix, precision, recall, and ROC analysis.

data-visualization feature-engineering machine-learning model-evaluation numpy pandas python scikitlearn-machine-learning

Last synced: 12 Apr 2026

https://github.com/parth-jatav/super-store-analysis-project

The Super Store Analysis project leverages Python libraries such as pandas, matplotlib, and numpy to perform a comprehensive analysis of a retail store's data. This project includes data cleaning, visualization, and statistical analysis to identify key trends, optimize inventory, enhance decision-making processes for improved business performance.

data-analysis matplotlib numpy pandas python super-store

Last synced: 12 Apr 2026

https://github.com/apal21/tensorflow-linear-regression-fit-data

Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.

gradient-descent linear-regression numpy python3 tensorflow

Last synced: 12 Apr 2026

https://github.com/raoulnormand/easygrader

A library to easily calculate course grades.

gradebook gradescope numpy pandas teaching-tool

Last synced: 10 Mar 2025

https://github.com/mostafa-ghorab/global-happiness-analysis

An analysis of global happiness rankings based on various factors like GDP, family support, health, and freedom from the World Happiness Report (2015-2017). This project provides data visualizations and statistical insights into how these factors influence happiness scores in different regions.

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

Last synced: 12 Apr 2026

https://github.com/lmizner/codecademy_life_expectancy_gdp

Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy

barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn

Last synced: 12 Apr 2026

https://github.com/shandilya1998/neurorobotics

Python tools for robotics, deep reinforcement learning and neuroscience research.

computational-neuroscience mujoco mujoco-py numpy openai-gym pytorch reinforcement-learning robotics

Last synced: 12 Apr 2026

https://github.com/jpcano/boston_housing

Predicting Boston Housing Prices using supervised Machine Learning algorithms

cross-validation machine-learning numpy pandas python regression-models scikit-learn

Last synced: 12 Apr 2026

https://github.com/themihirmathur/soiligator

Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.

auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine

Last synced: 12 Apr 2026

https://github.com/shreeparab1890/chat-analyzer

This project is a Data Analysis project to analyze the WhatsApp chats.

data-analysis numpy pandas python

Last synced: 12 Apr 2026

https://github.com/nadahamdy217/movies-data-etl-using-python-gcp

Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.

analytics data data-engineering data-ingestion data-preparation data-preprocessing data-processing data-project docker etl etl-pipeline gcp matplotlib matplotlib-pyplot numpy pandas pubsub python scipy seaborn

Last synced: 06 Jan 2026

https://github.com/vikpires/ds_tips-dataset

Projeto individual do bootcamp de ciência de dados avanti 2024.2, com o objetivo de analisar e observar padrões no conjunto de dados "Tips".

data-analysis data-science data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn tips

Last synced: 17 Sep 2025

https://github.com/gama1903/digital_image_processing

Implementation of Basic Algorithms of Digital Image Processing mainly through Numpy.

digital-image-processing numpy opencv python

Last synced: 08 May 2026

https://github.com/jvictor011/big-five-personality-test

Usando machine learning para fazer o agrupamento de um sistema de traço de personalidade

matplotlib numpy os pandas python seaborn

Last synced: 07 May 2025

https://github.com/mzayles/base_vendas_dataprep

💻📊✅ Curso de Programação em Python para Data Science | Preparando e tratando dados com Pandas e NumPy.

numpy pandas python

Last synced: 24 Mar 2025

https://github.com/lorenzorottigni/ml-random

Machine Learning course of Piero Savastano 7: matplotlib, accuracy_score, precision_score, recall_score, f1_score, classification_report

machine-learning matplotlib metrics numpy

Last synced: 04 May 2026

https://github.com/mpoojithavigneswari/bangalore-house-price-prediction

This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.

data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/aleksandarbuk/machine-learning

The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.

matplotlib numpy python scikit-learn tensorflow

Last synced: 16 Apr 2026

https://github.com/parkjungyoon/til-data_study

✍ 데이터분석, 데이터베이스, 클라우드 컴퓨팅 등을 공부하고 기록하는 저장소 입니다.

crawling machine-learning monodb mysql numpy pandas python

Last synced: 12 Apr 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
NumPy Categories
Blogs 404 Libraries 239 ⚡ Productivity 101 🧠 AI Applications & Platforms 96 🐍 Python 91 Exercises 87 Models and Projects 74 📚 Skill Development & Career 67 🗃️ SQL & Databases 53 Tutorials and Blog Posts 53 🤖 Machine Learning & AI 52 📦 Additional Python Libraries 51 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 35 Videos 34 🎲 Statistics & Probability 34 Web 33