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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/youssefyaser/scrape-the-imdb-site-for-the-top-250-movies

Web scraping the top 250 movies in IMDB site.

data-analysis numpy pandas python

Last synced: 04 May 2026

https://github.com/abhishekyadav915/e-commerce-sales-analysis

E-Commerce Sales Analysis is a data analysis project that explores sales data from an e-commerce platform to uncover insights and trends. The analysis includes visualizing sales performance, customer behavior, and product trends to help optimize business strategies and improve customer satisfaction.

matplotlib-pyplot numpy pandas-library plotly python3

Last synced: 04 May 2026

https://github.com/dyrits/parite

OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON

matplotlib numpy pandas python

Last synced: 04 May 2026

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

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

jupyter-notebook matplotlib numpy phyton scikit-learn

Last synced: 04 May 2026

https://github.com/aqueeqazam/machine-learning-using-scikit

This repository contains all of the algorithms used to train the machine learning models using the Scikit library.

numpy scikit-learn

Last synced: 04 May 2026

https://github.com/alphan26/optimal-logistics-locator

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

numpy pandas python sckit-learn

Last synced: 04 May 2026

https://github.com/asuquoaa/applied_data_science_with_python_study

Notes, codes and practicals on the Applied Data Science with Python specialization by UM

matplotlib numpy pandas seaborn

Last synced: 04 May 2026

https://github.com/kaungkhantkyaw1997/face_recognition

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

face-recognition flask numpy opencv

Last synced: 05 May 2026

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

Implementation of a multilayer perceptron using Pytorch and Numpy libraries

mlp numpy pytorch

Last synced: 05 May 2026

https://github.com/srevenant/data-science-alpine

A docker container for data science, using alpine linux and python3

alpine data numpy pandas python3 science scipy xgboost

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/jokoum/sentiment-classification

Multi-layer Perceptron classification of product reviews written in Greek language

flask machine-learning multilayer-perceptron-network neural-network numpy python sentiment-classification

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/shwetapardhi/assignment-1-q9_a--basic-statistics-level-1

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data Cars speed and distance Use Q9_a.csv

kurtosis matplotlib-pyplot numpy pandas python seaborn skewness

Last synced: 05 May 2026

https://github.com/burhanali2211/marksanalyzer

This is a simple CLI-based tool that helps analyze student marks by calculating key statistics such as the highest and lowest scores.

analysis analyzer arrays marks numpy

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/hasnainroopawalla/sudoku-generator

This algorithm can generate and solve a random Sudoku Puzzle Board using Backtracking

backtracking numpy python sudoku-generator

Last synced: 16 May 2026

https://github.com/vc-nithesh944/pandas_numpy

Practice repository for NumPy & Pandas with scripts, notebooks, and notes for future revision

numpy pandas

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/thomasa/python-intro

This is a Jupyter notebook slide show for a 2-hour crash intro to Python, NumPy, Matplotlib, and SciPy

matplotlib numpy python scipy tutorial

Last synced: 05 May 2026

https://github.com/sowmi0304/predictive-modeling-titanic-survival-prediction

Machine learning project to predict passenger survival on the Titanic using classification algorithms, data preprocessing, and model evaluation techniques.

machine-learning matplotlib numpy pandas python seaborn

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/lruizap/tomography-with-algebraic-topology

This project aims to analyze images using algebraic topology. The goal is to extract structural information from images through mathematical concepts such as connected components and loops.

gudhi jupyter-notebook matplotlib numpy opencv python tomography

Last synced: 05 May 2026

https://github.com/saksham-21/data_analysis-on-hindustan-times-

Performed a proper NLP based analysis from the headlines, date published and the category of the news. Moreover created a interactive Dashboard on Tableau

beautifulsoup matplotlib numpy pandas tableau

Last synced: 05 May 2026

https://github.com/lohiyah/dataset_summariser

A Python tool for generating concise summaries of datasets using Pandas and NumPy for analysis, and Matplotlib and Seaborn for insightful visualizations. Ideal for quick exploratory data analysis (EDA).

matplotlib numpy pandas seaborn

Last synced: 05 May 2026

https://github.com/rayan-alam-uoit/space-x-launch-prediction-tool

A full-stack data science project analyzing SpaceX launch data using web scraping, REST APIs, SQL, interactive visualizations, and machine learning in Python to explore trends and predict launch success.

dash data-science folium jupyter-notebook machine-learning matplotlib numpy pandas plotly python seaborn sql sqlite

Last synced: 05 May 2026

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

A machine learning project to predict rainfall using Decision Tree, k-Nearest Neighbors (kNN), and Naïve Bayes, with preprocessing, model evaluation, and custom kNN implementation.

decision-trees knn-classification machine-learning naive-bayes-classifier numpy sklearn

Last synced: 05 May 2026

https://github.com/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/tapas-gope/diwali-sales-analysis

Analyze Diwali Sales Data to improve customer experience and sales.

exploratory-data-analysis matplotlib-pyplot numpy pandas python seaborn

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/chdl17/marvelvsdc

This GitHub repository contains Python and Tableau for analyzing Marvel Vs DC superheros.

excel jupyter-notebook numpy pandas python tableau-public

Last synced: 05 May 2026

https://github.com/ahmedabdalkreem/airline_passenger_satisfaction

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

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

Last synced: 05 May 2026

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

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

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

Last synced: 05 May 2026

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

📖 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/pramodyasahan/cifar-10-object-recognition

This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.

convolutional-neural-networks numpy python tensorflow

Last synced: 05 May 2026

https://github.com/muthupillai1204/diwali_sales_analysis

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

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

Last synced: 05 May 2026

https://github.com/sahaninilesh/future_ds_01_social-media-sentiments-analysis

The Social Media Sentiments Analysis Dataset captures a vibrant tapestry of emotions, trends, and interactions across various social media platforms. This dataset provides a snapshot of user-generated content, encompassing text, timestamps, hashtags, countries, likes, and retweets. Each entry unveils unique stories—moments of surprise, excitement,

jupyter matplotlib numpy pandas python

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/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/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/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/sankaran-s2001/us-traffic-accidents-analysis-python-eda

Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.

data-analysis data-science data-visualization eda matplolib numpy pandas python

Last synced: 06 May 2026

https://github.com/coder5omkar/lendingclubcasestudy

Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.

bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis

Last synced: 06 May 2026

https://github.com/fazal-coder/capturing_img

python code for Creating blue color image

loop numpy opencv processing python scheduler threading

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/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/prab9166/-web-content-extraction-and-sentiment-analysis-

web content extraction and sentiment analysis on URLs provided in an Excel file. Its divided into classes to manage different stages such as data loading, web scraping, text processing, sentiment scoring, and output generation

beautifulsoup lxml nltk-python numpy pandas python re requests xlsxwriter

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/jayanthpotluri5513/heart-disease-prediction-using-ml

This project aims to develop a machine learning model for heart disease prediction, leveraging the potential of advanced algorithms and a comprehensive dataset.

machine-learning matplotlib numpy pandas python

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/voorhs/ml-practice

ML algorithms implementation

aimasters lomonosov-msu machine-learning numpy python

Last synced: 07 May 2026

https://github.com/malintha-induwara/python-for-ds

This repository contains my personal notes, exercises, and examples for Python

numpy pandas python webscraping

Last synced: 07 May 2026

https://github.com/sriyaroy/coding-challenges

50 Machine Learning & Computer Vision challenges ranging from Easy to Hard to sharpen you ML engineering skills.

coding-challenges computer-vision interview-prep machine-learning numpy python pytorch

Last synced: 07 May 2026

https://github.com/dulajkavinda/breast-cancer-detect

🧬 breast cancer classification using machine learning

added machinelearning matplotlib numpy pandas python

Last synced: 07 May 2026

https://github.com/theamnabb/my-ai-brain

A complete, structured AI learning journey from scratch to advanced. Includes daily logs, mini projects, roadmaps, and useful resources for Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.

matplotlib numpy pandas pyhton3

Last synced: 07 May 2026

https://github.com/jonad/chicago_crime_analysis

Exploratory data analysis on Chicago Crime dataset.

jupyter-notebook matplotlib numpy pandas python3

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/salvatoreamaddio/powerbi

This project combines both Python and PowerBI technologies. It cleans a dataset and imports it into a PowerBI file.

numpy pandas pandas-python powerbi python

Last synced: 07 May 2026

https://github.com/mnitin-reddy/coffee-shop-sales-analytics

This project analyzes coffee shop sales data to uncover key insights, focusing on customer behavior, product performance, and sales trends. Using Pandas, Matplotlib, and Seaborn, the analysis identifies peak sales hours, popular product categories, and opportunities for upselling or bundling.

datasceince datavisualization exploratory-data-analysis matplotlib numpy pandas python seaborn

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/imskully/python-cv-fault-detection

Fault detection algorithm that determines whether or not a fault exists within a ring using raw computer vision.

ccl computer-vision matplotlib morphology numpy opencv python

Last synced: 07 May 2026

https://github.com/ifimust/room_generator

Room generator service for 2D game levels

flask google-app-engine microservice numpy procedural-generation python

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/minjii1079/pytune

Building PyTune, a Python guitar tuner that uses PyAudio for recording, NumPy for math operations, and SciPy for FFT (Fast Fourier Transform) and signal processing.

fft guitar-tuner music numpy pyaudio python3 scipy

Last synced: 07 May 2026

https://github.com/jpgiant/gujaratrainfallanalysis_2021

Analysis about the rainfall that occurred in the districts of Gujarat state in 2021

data-analysis exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas-python python

Last synced: 07 May 2026

https://github.com/bettenoch/yolo_real_time_object_detector

The YOLO Real-Time Object Detector leverages the ultralytics package to provide robust object detection capabilities. This project is designed to identify and classify objects in images, video streams, and live webcam feeds with high accuracy and efficiency.

numpy object-detection object-tracking pandas python3 real-time-processing ultralytics yolov8

Last synced: 07 May 2026

https://github.com/isabelacaldeira/plongee

Here is a program that we made using Python and Jupyter Notebook used to solve a physic problem about diving

jupyter-notebook matplotlib numpy physics python university university-project

Last synced: 08 May 2026

https://github.com/reddyprasade/bird-classifications-problem

Birds Classification by using Scikit-learn and Scikit-image

matplotlib numpy pandas python-3 sckiit-learn sckit-image

Last synced: 08 May 2026

https://github.com/djdurga/predictive_analysis_in_diabetes

This project applies Logistic Regression to predict diabetes in patients using the Pima Indians Diabetes Dataset. It covers the full data science lifecycle — from data imputation and exploration to model training, evaluation, and insights.

matplotlib numpy pandas

Last synced: 08 May 2026

https://github.com/azaz9026/python_library_numpy

NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices...

array jupyter-notebooks numpy python3

Last synced: 08 May 2026

https://github.com/momo790-m/startup-profit-prediction

Machine learning project to predict profits of new startups based on R&D, Admin, Marketing, and State data

assumptions business colab-notebook linear-regression machine-learning matplotlib numpy pandas preprocessing seaborn skit-learn sklearn

Last synced: 08 May 2026

https://github.com/alain-godo/spotify-popularity

A simple analysis and modeling for prediction of the popularity of songs on Spotify

linear-regression machine-learning numpy pandas random-forest sckiit-learn spotify tree-decision

Last synced: 08 May 2026

https://github.com/octavioduarte/datascience

A repository with study notes on Data Science concepts, NumPy, pandas, and an introduction to statistics.

data-science jupyter-notebook numpy pandas

Last synced: 08 May 2026

https://github.com/niteshchawla/nc-walmart-casestudy

The Management team at Walmart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions. They want to understand if the spending habits differ between male and female customers:.

central-limit-theorem confidence-intervals matplotlib-pyplot numpy pandas python scipy-stats seaborn stats

Last synced: 08 May 2026

NumPy Awesome Lists
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