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/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/ayorick23/python-data-science-cheat-sheet

Guía rápida y práctica de sintaxis, comandos y funciones esenciales de Python para Ciencia de Datos. Perfecta para recordar cómo usar las librerías más comunes como NumPy, Pandas, Matplotlib y Scikit-learn en tus análisis diarios.

cheat-sheet data-analysis data-science data-visualization deep-learning jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn scipy seaborn statistics sympy tensorflow

Last synced: 07 Apr 2026

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/avik-pal/kaggle-titanic

Predicting whether a given set of people survive on the Titanic

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

Last synced: 14 Apr 2026

https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization

A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.

dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python

Last synced: 05 May 2026

https://github.com/architj6/gesture-control-system

This Gesture Control System allows users to control various system functions (like mouse movement, volume adjustment, and screen brightness) using hand gestures through a webcam. It leverages MediaPipe for hand tracking and PyAutoGUI for controlling the system. The project enables intuitive, hands-free control for everyday tasks.

brightness-control cursor cursor-control doubleclick drag-and-drop gesture handgesture handgesture-recognition mediapipe numpy opencv os pyautogui pycaw python python3 scroll volume-control

Last synced: 17 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/al-ghaly/stock-market-simulation

Simulate and visualize stock market behavior

matplotlib numpy python python-visualization

Last synced: 16 May 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/jeslipriya/emotion-detection

This project is an enhanced real-time facial emotion detection system that uses deep learning (OpenCV + mini-XCEPTION) to accurately recognize human emotions through a webcam or image input. It features advanced preprocessing, temporal smoothing, and a clean visual interface for smooth and stable emotion analysis.

7-emotions deep-learning emotion-detection fer2013 numpy opencv opencv-python python tensorflow

Last synced: 03 Jul 2025

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/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/neelays/xor-xnor_neural_network

NumPy neural network to approximate XOR/XNOR

numpy

Last synced: 15 May 2026

https://github.com/fanisgl/cnn_machine_learning

A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.

data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2

Last synced: 24 Feb 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/kunalshelke90/students_marks_prediction_in_exams

Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization .Later on deployed on AWS with help of docker

dokcerfile flask githubactions machine-learning matplotlib mlops numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/takana671/fluidcube

Particle Movement Using Curl Noise

curl-noise cython numpy panda3d python

Last synced: 22 Jun 2026

https://github.com/juzershakir/predicting_boston_housing_prices

Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

bias-variance boston-housing-price-prediction data-exploration decision-tree-regression gridsearchcv k-fold machine-learning matplotlib mlfnd model-evaluation model-validation numpy pandas python3 r2-score sklearn supervised-learning udacity-nanodegree

Last synced: 22 Oct 2025

https://github.com/RedInfinityPro/AI_projects

Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.

newspaper nltk numpy python random sklearn string warnings

Last synced: 30 Sep 2025

https://github.com/mlicamele/neural-network

Project focused on exploring the computations behind neural networks by building one from scratch with only numpy and testing it with the MNIST dataset.

gradient-descent matrix-computations neural-networks numpy python

Last synced: 12 Apr 2026

https://github.com/hifly81/photox

photo and album organizer for gtk3

gtk3 numpy opencv-python photography pil pillow python

Last synced: 24 Oct 2025

https://github.com/bilgenurbekar/turkishcyberbullying

Contains fine-tuned BERT models and results in the text classification category using Turkish social media data

bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers

Last synced: 07 Mar 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/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/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/luliatuccu/weather_analysis

This project highlights a combination of data science techniques and Python programming to explore real-world weather data.

data-preprocessing eda feature-engineering machine-learning matplotlib numpy pandas regex scikit-learn seab seaborn weather weather-patterns

Last synced: 02 Apr 2026

https://github.com/vansh-py04/convolution-net-from-scratch

A minimal NumPy-based implementation of a 3-layer convolutional neural network (CNN) from scratch — including custom forward and backward passes for conv, ReLU, pooling, affine, and softmax layers. Perfect for learning how CNNs actually work under the hood.

backpropagation cnn computer-vision convolutional-neural-networks cs231n cs231n-assignment deep-learning from-scratch from-scratch-in-python fully-connected-network machine-learning maxpool2d nueral-networks numpy softmax stanford-deep-learning

Last synced: 24 Apr 2026

https://github.com/hellymodikalpesh/numpy

This repository is designed as a comprehensive resource for learning the NumPy library. It covers nearly all functions and features of NumPy, providing a thorough exploration of its capabilities for numerical computing and data analysis.

jupyter-notebook numpy

Last synced: 28 Jan 2026

https://github.com/adriantomin/bulldozer-price-prediction

Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.

data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 23 Jan 2026

https://github.com/tugot17/neural-network-from-scratch

Simple neural network implemented from scratch using numpy package

from-scratch neural-network numpy python

Last synced: 26 Oct 2025

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/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/gusenov/max-empty-rect-py

:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.

algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection

Last synced: 06 Feb 2026

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/mairagalvao/final_grades

An analysis of the final grades of students using Python

matplotlib numpy pandas python3

Last synced: 09 May 2026

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/mzayles/iris-seaborn_visualizacao-dados

💻📊✅ Curso de Programação em Python para Data Science | Gráficos utilizando a base de vendas da Seaborn e a biblioteca Matplotlib.

matplotlib numpy pandas python seaborn

Last synced: 24 Mar 2025

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

https://github.com/lintangwisesa/python_pillow_image_array

Convert 🖼 image to 📜 Numpy array using Pillow [Python]

image numpy pillow python

Last synced: 07 May 2026

https://github.com/lavkalsi/creditcardfrauddetector

Credit Card Fraud Detector is a React web app that predicts if a credit card transaction is fraudulent using a Python machine learning model. Users can input transaction data, and Flask facilitates communication between the backend and frontend. Backend files are located in the res folder. This app provides simple UI for user interaction.

fraud-detection machine-learning nodejs numpy pandas python reactjs sklearn-library

Last synced: 15 Apr 2026

https://github.com/alejandro945/insurance-risk

This project aims to predict the risk of insurance claims using a dataset from Kaggle. The dataset consists of 26 columns and 205 rows, providing various features related to insurance risk. By analyzing this data, we seek to build predictive models that can help insurers assess the risk of claims.

data-analytics ipython-notebook numpy pandas python

Last synced: 06 Feb 2026

https://github.com/jvictor011/analise_de_precos_de_materias-primas_agricolas

Este projeto concentra-se na análise dos dados de preços de várias matérias-primas agrícolas ao longo do tempo. O conjunto de dados usado para esta análise é chamado de agricultural_raw_material.csv.

matplotlib numpy pandas python seaborn

Last synced: 07 May 2025

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/jaybfn/single-molecule-electrophysiology-data-analysis

Pynanopore serves as a sophisticated toolkit for analyzing single molecules, designed to interpret complex states within nanopore data automatically.

docker numpy pandas plotly pytest python3 streamlit streamlit-webapp

Last synced: 28 Jan 2026

https://github.com/guy1998/synthetic-data-generator-for-event-cameras

Automated workflow for the generation of synthetic data that can be used as an input for event cameras based on previously taken videos

computer-vision event-cameras numpy opencv synthetic-data

Last synced: 15 Apr 2026

https://github.com/shwetapardhi/assignment-03-q5--hypothesis-testing

Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of

alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing null-hypothesis numpy pandas python scipy significance-testing stats

Last synced: 28 Jan 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/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/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/shahaba83/airplane-ticket-cancellation

In this project, we try to predict the possibility of canceling the plane ticket by the buyer

datatime numpy pandas python scikit-learn seaborn

Last synced: 25 Feb 2026

https://github.com/asherk7/house-price-prediction

House Prices - Advanced Regression Techniques - Predict sales prices and practice feature engineering, RFs, and gradient boosting

data-science numpy pandas regression scikit-learn

Last synced: 15 Apr 2026

https://github.com/jaypanchal9/fraud-detection-case-study

A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn xgboost

Last synced: 15 Apr 2026

https://github.com/martincastroalvarez/search-keras-gensim-elasticsearch

Search Engine using Word Embeddings, GloVe, Neural Networks, BART and Elasticsearch

elasticsearch gensim gensim-word2vec keras nlp numpy python scipy spacy word2vec

Last synced: 15 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/hossein-cod/practicing-deep-learning

with keras data set we load a data base and train our machine for test

deep deep-learning jupyter-notebook keras machine-learning matplotlib numpy py python sklearn tensorflow

Last synced: 25 Feb 2026

https://github.com/priyanshul28/exercise_pandas

A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib.

data-cleaning data-visualization matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/keyurparalkar/breast-cancer-detection

Predict whether the cancer is benign or malignant

gradient-descent logistic-regression machine-learning numpy

Last synced: 26 Apr 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/nazwright/daria

Real-time fraud detection architecture powered by AWS Kinesis, KaggleHub, and SMOTE-augmented data — the foundation of DARIA, the Detection And Risk-Intelligence Agent.

aws evm fraud fraud-detection-using-machine-learning kaggle kinesis machine-learning math numpy pandas python random web3

Last synced: 12 Apr 2026

https://github.com/l-gre/data_analytics_for_finance

Comprehensive course materials for the Data Analytics for Finance - Master Programme, covering data manipulation, statistical analysis, visualisation, automation, and real-world case studies using industry-standard tools.

automation data-cleaning data-manipulation data-visualization excel hypothesis-testing industry-applications matplotlib numpy pandas python real-world-case-studies regression-analysis seaborn sql statistical-analysis tableau workflow-automation

Last synced: 15 Apr 2026

https://github.com/singhvishal003/sales-data-analysis

Data Analysis according to sale data.

matplotlib numpy pandas seborn

Last synced: 15 Apr 2026

https://github.com/billgewrgoulas/recommendation-systems

Algorithms for joke rating prediction using the joke data-set from Kaggle.

algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi

Last synced: 06 May 2026

https://github.com/offthetab/lung_cancer_prediction

ML for Lung Cancer Prediction dataset from kaggle.

matplotlib numpy pandas python seaborn sklearn

Last synced: 25 Feb 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/pedrohenriquebr/pegasus

Finance Reporting Automation

excel finance financial numpy pandas python python3 report

Last synced: 15 Apr 2026

https://github.com/tsar123/neutral-single-nucleotide-polymorphisms-analysis

analysis of data on neutral single nucleotide polymorphisms

dna-polymorphism matplotlib numpy pandas seaborn snv

Last synced: 01 Feb 2026

https://github.com/audeering/audmath

General math functions

math numpy

Last synced: 07 Feb 2026

https://github.com/thorbeorn/epsi-m1-datamanagement-etude-de-cas

Ce projet implémente une chaîne complète de traitement de données RH après fusion d’entreprise

dashboard duckdb epsi etl kaleido numpy pandas plotly python pyyaml

Last synced: 11 Apr 2026

https://github.com/rissh/titanicsurvivalpredictionusingml

Predicting Titanic passenger survival through machine learning. This project includes data preprocessing, exploratory data analysis, feature engineering, and model training using Python. 🚢

data data-analysis data-science data-visualization dataanalysis jupiter-notebook machine-learning machine-learning-algorithms machinelearning matplotlib numpy pandas prediction prediction-model python python3 seaborn tenserflow tflearn titanic

Last synced: 01 Feb 2026

https://github.com/sarowarahmed/advertising-sales-app

📈 Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.

advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit

Last synced: 07 Feb 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/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/kunalpisolkar24/gradientdescent

A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.

cost-function gradient-descent numpy visualization

Last synced: 06 May 2026

https://github.com/coueghlani/nlp

Proyecto de Procesamiento de Lenguaje Natural y Análisis de Datos

mineria-de-datos nlp nlp-machine-learning nltk numpy procesadores-de-lenguajes sklearn spacy

Last synced: 08 Feb 2026

https://github.com/ryancswallace/npdb

Parallel NumPy-like interface for large n-dimensional arrays on disk.

mapreduce-designpatterns numpy numpy-arrays parallel-computing python

Last synced: 09 Feb 2026

https://github.com/kaguya163/marketing_campaigns

Анализ маркетинговой эффективности в спортивном ритейле.

ab-testing machine-learning matplotlib numpy pandas python scikit-learn scipy sqlite3

Last synced: 11 Apr 2026

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/mariam-zaidi/bike-sharing-prediction-model

Build a multiple linear regression model for the prediction of demand for shared bikes.

linear-regression matplotlib numpy pandas rfe seaborn sklearn

Last synced: 09 Feb 2026

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

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

inline matplotlib matplotlib-styles numpy pandas probability python seaborn statistics

Last synced: 18 Apr 2026

https://github.com/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/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/foggysmile/ml_labs_itmo

Лабораторные работы по машинному обучению

bert decision-trees jupyter-notebook machine-learning numpy pandas random-forest xgboost

Last synced: 11 Feb 2026