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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/kr1shnasomani/DeepDetect

Traffic light, vehicle and human detection from aerial images using YOLOv8 model and Computer Vision

computer-vision deep-learning neural-network numpy opencv yolov8

Last synced: 03 Sep 2025

https://github.com/tebogoyungmercykay/mathematical_modelling_in_python

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

clock counter differential-equations equations-and-plotting growth-factor is-sorted lamda-expressions linearization logistic-difference-equations mathplotlib numpy pell-recursive polyfit python recursion rieman-sums sympy

Last synced: 14 Mar 2025

https://github.com/hairymax/python-for-science-lecture-notes

Tutorial material on the scientific Python ecosystem in Russian

matplotlib numpy python scipy sympy

Last synced: 12 Apr 2026

https://github.com/shahsuvarli/election-voters-data-analysis-pandas

Educational project analyzing Azerbaijan voter demographics with pandas, focusing on data cleaning, grouping, and visualization.

cleaning data grouping matplotlib numpy pandas python visualization

Last synced: 12 Apr 2026

https://github.com/mark1708/neurointerfaces-of-information-systems

Laboratory work on the discipline "Neurointerfaces of information systems"

numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/3rd-son/movie-streaming-service-analysis

Exploratory Data Analysis of the Streaming Services like Neflix, Hulu, Disney+ etc

data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python seaborn

Last synced: 18 Apr 2026

https://github.com/mariam-zaidi/credit_risk_analytics

Performing Exploratory Data analysis for loan application approvals and understanding Risk analytics

exploratory-data-analysis matplotlib numpy pandas risk-analytics seaborn

Last synced: 06 May 2026

https://github.com/nicolas-giacomelli/modelo-polinomial-api-streamlit

Codigo focado em treinamento de modelo de previsão de salario por tempo de empresa e nivel dentro da empresa disponibilizado por api e usando front-end streamlit para calcular basta inserir tempo de empresa e nivel e calcular o resultado de salario compativel

api fastapi joblib machine-learning matplotlib numpy pandas pingouin pydantic scikit-learn seaborn streamlit uvicorn

Last synced: 12 Apr 2026

https://github.com/allenvox/statistics

Workspace for applied problems of probability theory & mathematical statistics & modelling class

acf autocorrelation distribution k-means k-means-clustering maths matplotlib numpy probability-theory python sklearn statistics

Last synced: 17 Apr 2026

https://github.com/manuelfay/numpydeeplearning

Deep Learning Framework built entirely using numpy

deep-learning deep-learning-framework minigrad numpy pytorch

Last synced: 06 May 2026

https://github.com/nisch-mhrzn/book-recommender-system

A Flask-based application that suggests books tailored to user preferences, leveraging collaborative filtering and a curated dataset.

flask numpy pandas python

Last synced: 12 Apr 2026

https://github.com/fimbres/emotion-recognition

This is an AI project developed in Python to recognize emotions in people.

ai kaggle-dataset keras numpy opencv python tensorflow

Last synced: 12 Apr 2026

https://github.com/urvee1810/eda-time-series

A comprehensive time series analysis of French retail quarterly sales data from 2012 to 2017. The project focuses on analyzing sales patterns, seasonal decomposition, and trend analysis using various statistical techniques and visualizations.

arima-modeling data-visualization exploratory-data-analysis matplotlib numpy pandas pmdarima python scikit-learn seaborn statsmodels time-series-analysis trend-analysis

Last synced: 12 Apr 2026

https://github.com/shibam120302/indian_sign_language_translator

This repository consists of the code utilized for creation of an Indian Sign Language Translator satisfying the following criteria : Near-Real-Time Application Achieve background independence Attain Illumination independence

imageai keras numpy opencv pillow tensorflow

Last synced: 12 Apr 2026

https://github.com/mzayles/report_consolidado_analise-descritiva

💻📊✅ Curso de Programação em Python para Data Science | Mensuramento de dados com Matplotlib.

matplotlib numpy pandas python

Last synced: 24 Mar 2025

https://github.com/mzayles/base_vendas_analise-exploratoria

💻📊✅ Curso de Programação em Python para Data Science | Identificando e analisando problemas.

numpy pandas python

Last synced: 24 Mar 2025

https://github.com/sultanazhari/prediction-model-of-customers-leaving

Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.

accuracy-score confusion-matrix logistic-regression-algorithm matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn

Last synced: 20 Apr 2026

https://github.com/sujalk777/signal_systems_lab

This repository contains the assignments for the Signal Systems Laboratory course offered at IIT Jammu Autumn 24

jupyter-notebook librosa linux matplotlib numpy python raspberry-pi

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/ifrazaib/pythoncodes

In this repository I have Added my handwritten python codes to master the language and includes all the basic concepts of python.

classes inheritance lists numpy pandas scipy tupels

Last synced: 06 Jan 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/raoulnormand/easygrader

A library to easily calculate course grades.

gradebook gradescope numpy pandas teaching-tool

Last synced: 10 Mar 2025

https://github.com/hansalemaos/cycolorcrop

Crops an image based on allowed colors

color crop cython image numpy opencv

Last synced: 01 May 2026

https://github.com/raduldev/ml-projects

End To End Machine Learning Project guided by Krish Naik from Ineuron.

catboost dill flask-application numpy pandas python scikit-learn xgboost

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/azaz9026/car_price_prediction_model

This repository contains a machine learning model designed to predict car prices based on various features. Using historical data on car attributes such as make, model, year, mileage, and other relevant factors, the model aims to provide accurate and reliable price estimates for used cars.

data-analysis data-engineering liner-regestion machine-learning modeling numpy pandas python3 rendering

Last synced: 09 Apr 2026

https://github.com/khushi130404/catnet

CatNet is a simple machine learning project that classifies images as either a cat or not a cat using logistic regression. The dataset consists of labeled images of cats and non-cats, preprocessed and used to train a binary classification model.

h5py matplotlib numpy pillow scipy

Last synced: 12 Apr 2026

https://github.com/darkusphantom/newton-method

7 ejercicios practicos del método de Newton en la programación computacional

computational-maths numpy python

Last synced: 25 Mar 2025

https://github.com/theoldvalyria/python_projects

Проекты, направленные на анализ данных Python и АБ-тестирование.

ab-testing matplotlib metrics numpy pandas python scipy seaborn visualisation

Last synced: 06 Jan 2026

https://github.com/kareem74x/data-mining-uni-project

A project focused on applying data mining techniques to extract insights from datasets

data-mining matplotlib numpy pandas python

Last synced: 25 Feb 2026

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/akashash01/navie_bayes

It's an simple probabilistic classifiers based on applying Bayes theorem with strong independence assumptions between the features. Highly effective for text sequence oriented data(independent variables).

data-science machine-learning numpy pandas python sklearn supervised-learning

Last synced: 09 Apr 2026

https://github.com/urvee1810/market_basket_analysis

A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy

apriori-algorithm data-mining data-visualization machine-learning market-basket-analysis matplotlib mlxtend numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/techcsispit/algorithmic-trading

This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.

matplotlib numpy pandas python sklearn

Last synced: 04 Sep 2025

https://github.com/hrolive/fundamentals-of-accelerated-data-science

How to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.

accelerated-computing bokeh cudf cugraph cuml cupy dask data-science jupyter numpy pandas python rapids xgboost

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/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/ledsouza/python-powerbi

Desenvolver uma dashboard para análise do mercado financeiro utilizando Python e Power BI

etl matplotlib numpy pandas powerbi python seaborn

Last synced: 12 Apr 2026

https://github.com/gregoritsch3/project_radioactive_decay

An analytic ( system of coupled ODEs), numeric (Runge-Kutta 4, Newton-Raphson) and stochastic (Monte Carlo) treatment of the chained radioactive decay of Bi[210, 83] into Po[210,84], as well as the emission of alpha-particles. Associated comments and paper are in Croatian.

cplusplus matplotlib montecarlo-simulation numerical-methods numpy python radioactive-decay scipy

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/emhash/machine-learning-and-ai

Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.

ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow

Last synced: 05 Jan 2026

https://github.com/armahdavi/mlops

Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.

apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost

Last synced: 12 Apr 2026

https://github.com/filip-kustura/python-covid-19-behaviors-analysis

Using Jupyter Notebook, this university project analyzes attitudes and behaviors related to the COVID-19 pandemic using a two-year survey from Imperial College London and YouGov research company. Utilizing Pandas, NumPy and Matplotlib, the data analysis focuses on three countries, exploring trends and insights throughout the pandemic.

covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas python university-project

Last synced: 12 Apr 2026

https://github.com/lijesh010/employeeanalysis-

This is a simple data analysis project developed as part of my Entri Elevate Data Science and Machine Learning course. It serves as a practical demonstration of my skills in data analysis.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/fabricioarendtorres/streamauc

Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..

classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic

Last synced: 06 Jan 2026

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

Machine Learning python bootcamp: K mean clustering with public/private universities dataset

k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn

Last synced: 05 Apr 2026

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/bhushan148/ipl-stats-analysis

This project explores IPL data to show team and player performances. 📈 Key highlights include analyzing match results, highest scores, and performance at different venues. 🏟️ It uses charts to reveal trends like win margins and average scores by venue. 📉 Discover important insights into what affects match outcomes and team success.

jupyter-notebook markdown matplotlib-pyplot numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/constraintautomaton/client_pgu1

The client part of the PgU1 project it. It command the robot and do the video processing

numpy opencv paramiko pyqt5 python3 raspberry-pi-3

Last synced: 12 Apr 2026

https://github.com/22p31a0512/sentimental-analysis

Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.

feature-engineering machine-learning natural-language-processing numpy pandas python supervised-learning text-classification text-processing tokenization

Last synced: 12 Apr 2026

https://github.com/armahdavi/data_pipeline_analytics_statistics_ml_pm_psd_residential_qff

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 11 Apr 2026

https://github.com/sothulthorn/stock-prediction-portal

The Stock Prediction Portal is a full-stack web application that demonstrates how to use machine learning models to analyze stock market data and forecast future trends.

axios django django-rest-framework javascript keras matplotlib numpy pandas python react tensorflow yfinance

Last synced: 02 Apr 2026

https://github.com/akashkg03/feynn-labs-internship

This repository contains the projects I did as a Data Science intern with Feynn Labs.

data-science machine-learning matplotlib numpy pandas python scipy seaborn

Last synced: 07 Jan 2026

https://github.com/prarthana-singh/potato-disease-classification-using-deep-learning

🌱 Potato Disease Classification using Deep Learning – A deep learning-based model to detect and classify potato plant diseases using image processing and CNNs. Built with TensorFlow/Keras & Python.

agriculture cnn deep-learning image-classification keras machine-learning neural-network numpy pandas plant-disease-detection python3 streaming tensorflow

Last synced: 12 Apr 2026

https://github.com/alejoduarte23/bs6472

Serviceability assessment as per BS 6472 for human exposure to vibration in buildings Vibration sources other than blasting

matplotlib numpy pydantic scipy

Last synced: 07 Jan 2026

https://github.com/otuemre/housepricingml

A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.

eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression

Last synced: 13 Apr 2026

https://github.com/manikantasanjay/data_analysis_using_python_libraries_series

This Series contains Data Analysis projects performed on different Kaggle datasets and providing valuable insights into the data by making use of Python libraries.

exploratory-data-analysis kaggle-datasets machine-learning matplotlib numpy opendatasets pandas python visualization

Last synced: 12 Apr 2026

https://github.com/the-developer-306/fake-review-detector

This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.

classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis

Last synced: 12 Apr 2026

https://github.com/chandkund/sentiment-analysis-using-nlp

This project focuses on Sentiment Analysis using the textual content from product reviews. The goal is to analyze user sentiments based on their written feedback, particularly focusing on the "reviewText" column in the dataset.

lemmatization matplotlib nlp nltk numpy pandas seaborn tokenization

Last synced: 31 Jan 2026

https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly

This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.

correlation-analysis flask kmeans-clustering numpy pandas plotly python scikit-learn seaborn standardscaler

Last synced: 12 Apr 2026

https://github.com/soumyapro/heart-disease-prediction

This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.

logistic-regression numpy pandas simpleimputer sklearn

Last synced: 21 Jan 2026

https://github.com/nakshjainsonigara/football-eda

This EDA offers a comprehensive exploration of football analytics, leveraging Python libraries to analyze players, club games, and various other aspects of the sport. Through statistical analysis and visualization, we uncover insights into player performance, club strategies, and league dynamics providing valuable insights for football enthusiasts.

dash exploratory-data-analysis matplotlib numpy pandas plotly python scipy seaborn statistics

Last synced: 07 Jan 2026

https://github.com/abideen-olawuwo/logistic-regression-house-prediction

Using logistic Regression Model to predict house price

logistic-regression matplotlib numpy pandas python seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/linggarm/priority-task-selection-using-evolutionary-programming

A web app that utilizes Evolutionary Programming to determine and prioritize tasks for efficient scheduling.

artificial-intelligence css evolutionary-algorithms evolutionary-programming flask html javascript machine-learning numpy python

Last synced: 12 Apr 2026

https://github.com/nilayhangarge/data-analysis-with-python

This repository provides a practical introduction to data acquisition and analysis using Pandas. It covers loading datasets, exploring data, manipulating data, and gaining insights through statistical summaries. Ideal for beginners, it offers code examples and explanations to enhance your data manipulation skills using Pandas for Python.

data-acquisition data-analysis data-analytics data-binning data-cleaning data-engineering data-fundamentals data-insights data-integration data-preprocessing data-science data-wrangling numpy pandas python

Last synced: 12 Apr 2026

https://github.com/sandipkushwaha20/brain_tumour_detector

This project utilizes deep learning to detect and classify brain tumors from MRI images. The primary objective is to determine whether a tumor is present and, if so, classify its type with high accuracy.

deeplearning keras numpy pandas python tensorflow

Last synced: 12 Apr 2026

https://github.com/konynour/facedectection

This project demonstrates real-time face detection using OpenCV and a pre-trained SSD (Single Shot MultiBox Detector) model. The system captures video from a camera, processes the frames, detects faces, and displays the results with bounding boxes and confidence scores. This application showcases the use of deep learning models for object detection

cv2 jupyter-notebook lambda-functions matplotlib numpy opencv python3

Last synced: 12 Apr 2026

https://github.com/mairagalvao/steak_risk_data

A data analysis based on correlations and comparisons among the samples.

database matplotlib numpy pandas python3 sql

Last synced: 12 Apr 2026

https://github.com/supriya811106/twitter-sentiment-analysis

Analyzing the mood of tweets! We sort tweets on popular topics into positive, negative, or neutral categories to gauge public opinion. See what Twitter really thinks!

bernoulli-naive-bayes jupyter-notebook matplotlib nlp-machine-learning nltk numpy pandas python scikit-learn seaborn sentiment-analysis text-classification tfidf-vectorizer wordcloud

Last synced: 05 Apr 2026

https://github.com/AsuquoAA/CDC_2017_Immunization_Data_Analysis

This project analyzes data from the CDC's 2017 National Immunization Survey Public Use File (NISPUF17) to answer research questions about immunization, child health, and vaccine-related behaviors.

numpy

Last synced: 21 Jul 2025

https://github.com/marcelovilla/fire-congress-2019-tdf-talk

This repository contains the code used for the project presented in the "Fire activity on the Colombian Tropical Dry Forest: an environmental and social perspective" talk during the 8th International Fire Ecology and Management Congress.

earth-observation ecology fire-activity gdal latex matplotlib modis numpy pandas python remote-sensing requests seaborn tikz trmm xarray

Last synced: 12 Apr 2026

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