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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/smirnovlad/data-science-notebooks

A collection of various data analysis approaches

data-science deep-learning kaggle machine-learning numpy pandas pytorch

Last synced: 10 Apr 2026

https://github.com/pranavv34/customer-segmentation

Predictive modeling and customer segmentation project using neural networks to forecast sales and categorize customers for targeted marketing in the online retail sector.

keras matplotlib numpy pandas python seaborn sklearn tensorflow

Last synced: 02 Apr 2026

https://github.com/loong64/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

autograd deep-learning gpu loong64 loongarch64 machine-learning neural-network numpy python tensor

Last synced: 02 Apr 2026

https://github.com/mac2bua/autoalgo

Autonomous algorithm optimization research - 19x speedup achieved through self-driven iterations

algorithm-optimization autoresearch numpy performance python

Last synced: 02 Apr 2026

https://github.com/prajapatsur/data-analytics-1

Wanted to revise all the basic concepts of the data cleaning, transformation and analysis, so worked on this project. Took a little bit help of AI tool to implement some fresh concepts.

matplotlib numpy pandas sklearn

Last synced: 17 Apr 2026

https://github.com/mnagaharshithrao/diamondpriceprediction

Diamond Price Prediction is a machine learning project that predicts the price of diamonds based on features like carat, cut, color, clarity, and more. Using models such as XGBoost, Random Forest, and Gradient Boosting, the project aims to accurately forecast diamond prices, helping buyers and sellers in the diamond industry make informed decisions

machine-learning numpy pandas sckiit-learn xgboost

Last synced: 17 Apr 2026

https://github.com/kernel-loophole/numerical-computing

Numerical Computing use python(Numpy,metplotlib).

numpy python quantum-computing

Last synced: 17 Apr 2026

https://github.com/shreyasmehta05/sortsync

A custom sorting algorithm combining parallel merge and count sort, with detailed performance comparisons against standard sorting techniques.

c matplotlib numpy python3

Last synced: 04 Feb 2026

https://github.com/kiarashyavari/python_interview

Practice intermediate to advance topics of Python here

decorators generator multiprocessing multithreading numpy pandas python python3

Last synced: 17 Apr 2026

https://github.com/orliluq/inmersion-datos-python

Desarrollar modelos de machine learning para predecir la probabilidad de incumplimiento crediticio de los clientes, utilizando diferentes algoritmos de clasificación (Regresión Logística, Árboles de Decisión, Random Forest, Naive Bayes).

colab-notebook numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/felixamaladhas/amazon-reviews-sentiment-analysis

This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.

matplotlib numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/harmanveer2546/nasa-asteroid-classification

Classifying whether an asteroid is hazardous or not.

eda matplotlib numpy pandas python seaborn visualization xbgoost

Last synced: 02 Apr 2026

https://github.com/andersoncrs/prediccion_precio_vehiculos_statsmodels

Este proyecto utiliza un modelo de regresión lineal para predecir el precio de vehículos basándose en sus características principales. El análisis incluye la definición del problema, exploración y limpieza de datos, conversión de variables categóricas a numéricas, evaluación de correlaciones y entrenamiento del modelo.

analisis-de-datos analisis-exploratorio-de-datos matplotlib numpy seaborn statsmodels visualizacion-de-datos

Last synced: 26 Apr 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/bhawnamehbubani/advanced-zomato-restaurant-clustering-and-sentiment-analysis

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

matplotlib-pyplot nltk numpy pandas seaborn sklearn wordcloud

Last synced: 05 May 2026

https://github.com/krishbharadwaj5678/gestureninja

Play Fruit Ninja using just your index finger with real time gesture tracking. No mouse, no keyboard — just your webcam and smooth slicing.

automation computer-vision cvzone finger-tracking fruit-ninja game-development gamedev gesture-recognition hand-tracking mediapipe mouse mouse-control numpy opencv pyautogui python realtime virtualmouse webcam

Last synced: 07 May 2026

https://github.com/nikhilgugwad/sentiment-analysis

Sentiment analysis for the Kannada language to classify Kannada sentences into different emotions.

numpy pandas scikit-learn

Last synced: 17 Apr 2026

https://github.com/ffatahillah7/eda-dsf-dibimbing-titanic-accident

Data Science Fair 3.0 Dibimbing Portofolio - Analyctics and Learning from titanic dataset

data numpy pandas python science seaborn

Last synced: 17 Apr 2026

https://github.com/christiemj/clock-drift-simulation

A Monte Carlo simulation in Python to model vacuum-induced frequency drifts in atomic clocks, with code and visuals (experimental setup, simulated vs. real-world comparison, and drift graph), as described in "Probing Vacuum-Induced Clock Drifts via Quantum Metrology: A Testable Hypothesis" (DOI: 10.5281/zenodo.15163879). Licensed under GPL 3.0.

allan-variance atomic-clocks cesium-ion clock-drift matplotlib monte-carlo-simulation numpy open-science pandas physics precision-metrology python quantum-metrology research-software scipy simulation vacuum-fluctuations vacuum-noise

Last synced: 17 Apr 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/sofiakhutsieva/analytical_report_for_producers_of_educational_programs

Подготовка аналитического отчета (Проект в skillbox )

analytics matplotlib numpy pandas seaborn

Last synced: 17 Apr 2026

https://github.com/hansalemaos/npfastsortcpp

Sorts int/float 4x faster than numpy by using parallel_sort from C++ (Windows only)

cpp fast numpy python sort

Last synced: 17 Apr 2026

https://github.com/vishal-verma-96/oil_spill_prediction_using_ml

This ML project predicts oil spills using various machine learning algorithms like XGBoost and Random Forest. This project also contains saving and load of the model to make predictions on a sample dataset.

data-science machine-learning-algorithms machine-learning-classification matplotlib model-building-and-evaluation numpy pandas pickle python-3 scikitlearn-machine-learning xgboost

Last synced: 17 Apr 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/quinnphil/math-for-programmers

Work-alone code for Math for Programmers book by Paul Orland

geometry mathematics matplotlib numpy python

Last synced: 17 Apr 2026

https://github.com/kaushik-puttaswamy/exploratory-data-analysis-using-python

This project applies Exploratory Data Analysis (EDA) using visualizations like box plots, scatter plots, and correlation matrices. It helps identify patterns, select ideal functions via least squares error, and map test data while evaluating deviations.

bokeh expolatory-data-analysis matplotlib numpy pandas python seaborn sqlalchemy

Last synced: 17 Apr 2026

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

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

keras matplotlib numpy pil python tensorflow

Last synced: 11 Apr 2026

https://github.com/shhiivvaam/regression

Linear Regression Model

linear-regression numpy python

Last synced: 10 May 2026

https://github.com/mugambi645/classify-song-genre-from-audio-data

Classify song genres using supervised learning models & PCA for dimensiality reduction

decision-tree-classifier logistic-regression numpy pandas pca-analysis

Last synced: 17 Apr 2026

https://github.com/allanreda/telco-customer-churn-predictor-app

A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.

app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn

Last synced: 16 Apr 2026

https://github.com/mnitin-reddy/content-based-recommendation-system-using-deep-learning

A content-based movie recommendation system using deep learning to predict user ratings by leveraging user and movie features. The system integrates neural networks for feature extraction, utility scripts for data processing, and supports both new and existing user recommendations.

deep-learning keras neural-networks numpy pandas python scikit-learn tensorflow

Last synced: 03 Apr 2026

https://github.com/neetigyab/pdf_form_parser

Older Test version of designated PDFReader project

excel forms matplotlib numpy ocr opencv pandas pdf pdf-converter pdfplumber pytesseract python

Last synced: 17 Apr 2026

https://github.com/noluyorabi/bravais-pearson-interactive

Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.

data-visualization interactive-analysis matplotlib numpy pearson-correlation scipy seaborn statistics streamlit

Last synced: 17 Apr 2026

https://github.com/anag0es/projetos-ml

Este é um lugar onde guardo vários projetos para entender como funciona a aprendizagem de máquina. Cada projeto é uma forma de praticar o que estou aprendendo nos meus estudos.

artificial-intelligence crisp-dm data-science deep-learning learning machine-learning neural-network numpy pandas prediction-model python

Last synced: 17 Apr 2026

https://github.com/sameerjain/ai-snake-game

Implemented a Q-learning agent to play and learn the classic Snake game, leveraging PyTorch for Neural Network. Visualized using Matplotlib, showcasing agent's evolving performance over time. Built UI using Pygame to visualize Snake, including food, and current score.

anaconda conda matplotlib neural-network numpy pygame python3 pytorch q-learning

Last synced: 09 May 2026

https://github.com/gregoritsch3/project_python_jobs_data_analysis

A multi-library Data Analysis Python project that draws useful insights from existing job data. It provides useful exploratory insight about job postings in the Data sector, such as the distribution of remote/non-remote jobs, jobs with/without healthcare, top paying and most demanded data roles, and more.

matplotlib numpy pandas python scipy seaborn

Last synced: 04 Apr 2026

https://github.com/mwoss/mownit

Various tasks from numerical analysis laboratories solved using Python

jupyter-notebook mathematics matplotlib numerical-analysis numpy python scipy

Last synced: 17 Apr 2026

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

Прогнозирование исхода лечения пациентов с циррозом печени

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

Last synced: 08 May 2026

https://github.com/badranalyst/student-tests-data-analysis-application

Python-based analysis of student test scores in math, reading, and writing, examining correlations with parental education, lunch type, and test preparation. Includes data cleaning, visualization, and statistical insights into factors influencing academic performance.

data-analysis data-visualization dataset matplotlib numpy pandas python sklearn

Last synced: 05 May 2026

https://github.com/shefreenkaur/web-scraping-and-word-frequencies

This project analyzes word frequencies in BC Legislative documents using Stanford CoreNLP and Python. The program extracts text from PDF documents, processes it using natural language processing techniques, and generates a comprehensive word frequency analysis.

analytics chromedriver easyocr nlp numpy pandas pymupdf python selenium stanfordcorenlp webscraping wordfrequency

Last synced: 07 May 2026

https://github.com/prcharan592/social-media-sentiment-analysis

Social media sentiment analysis using tweets involves analyzing tweet data to determine public sentiment (positive, negative, or neutral) using natural language processing (NLP) and machine learning techniques.

data-visualization machine-learning matplotlib nlp nltk numpy pandas python3 sentiment-analysis spacy tweets

Last synced: 04 Apr 2026

https://github.com/datamallo/python101

The ressources you need to learn or get better in Python. Covering the basics of Python3, NumPy and Pandas for

numpy pandas python3

Last synced: 18 Apr 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/eduardoprofe666/mn-api

🐍📦 Paquete de Python con implementaciones de métodos numéricos

mn-api numerical-methods numpy pandas python scipy simpy tabulate

Last synced: 04 Jan 2026

https://github.com/compcode1/nfl-analysis

The objective of this analysis was to explore potential correlations between player attributes (such as average age and weight across different positions) and key team performance metrics from the 2023 NFL season.

datacleaning datanormalization numpy pandas pearson-correlation-coefficient pvalues

Last synced: 18 Apr 2026

https://github.com/yassin522/music-genre-classification

This repository is dedicated to the Music Genre Classification project, an endeavor that leverages machine learning techniques to accurately classify music into various genres

catboost matplotlib numpy pandas python sklearn

Last synced: 04 Apr 2026

https://github.com/dineshdhamodharan24/amazon-reviews-sentiment-analysis

This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.

matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/jass024/bitcoin-historical-analysis

Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.

numpy pandas python-3

Last synced: 18 Apr 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/nachtfeuer/covid19

Python script(s) for visualizing corona data

csv json matplotlib numpy pandas python requests tkinter

Last synced: 05 May 2026

https://github.com/awanraskall/retail-demand-analysis

Data analysis of retail meal orders, fulfillment centers, and product demand using Python

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

Last synced: 18 Apr 2026

https://github.com/bvsam/nnfs

Basic neural network built using Python and Numpy. Created to better understand neural networks.

artificial-intelligence deep-learning machine-learning neural-network neural-networks numpy python3

Last synced: 18 Apr 2026

https://github.com/vansh-py04/data-analysis-questions-pandas-numpy-sql

Solution to 450+ Data Science Tech Stack questions essential for Data Analysts and Scientists!

data-analysis data-science deepnote machine-learning numpy pandas python sql

Last synced: 18 Apr 2026

https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation

An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.

clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

Last synced: 04 Apr 2026

https://github.com/abdul-rafay19/california-housing-price-prediction

This project predicts California housing prices using machine learning regression models, including Random Forests and Decision Trees. It covers data preprocessing, exploratory analysis, model training, and hyperparameter tuning to optimize performance.

decision-trees gridsearchcv linear-regression matplotlib numpy pandas python random-forest randomsearch-cv scikit-learn scipy seaborn

Last synced: 04 Apr 2026

https://github.com/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization

Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.

abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels

Last synced: 04 Apr 2026

https://github.com/yashsonaar/machine-learning-tasks

This repository has machine learning tasks which include classification, recommendation system, fraud detection system

classification jupyter-notebook machine-learning numpy pandas prediction python scikit-learn testing

Last synced: 04 Apr 2026

https://github.com/normyee/chatbot-pytorch_nlp

ChatBot utilizing neural networks, NLP techniques, and the Bag of Words model. Implements tokenization and stemming for efficient language processing.

bag-of-words chatbotai neural-network nlp-machine-learning nltk-python numpy python pytorch-nlp

Last synced: 09 May 2026

https://github.com/ccolpasm/pageviewanalyzer

PageViewAnalyzer analyzes and visualizes time series data of forum visits (2016-2019). It uses Pandas, Matplotlib, and Seaborn to create line plots, bar charts, and box plots, highlighting trends, monthly averages, and seasonality in page views. Perfect for data exploration with Python.

data-science matplotlib numpy pandas python

Last synced: 18 Apr 2026

https://github.com/chintanboghara/rocket-simulation

A comprehensive web-based orbital mechanics simulator with advanced mission planning, real-time tracking, and educational features.

docker flask html javascript numpy plotly python

Last synced: 11 Apr 2026

https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk

OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.

accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn

Last synced: 18 Apr 2026

https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022

Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.

catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap

Last synced: 18 Apr 2026

https://github.com/armanshadyan/bacteria-detection

Deep learning-powered tool for detecting and analyzing bacteria in microscope images. Designed for microbiology research, it identifies bacteria, counts them, and calculates coverage area with high precision. Supports real-time video processing, single-image analysis, batch processing, and model training.

mediapipe numpy object-detection opencv python pytorch

Last synced: 05 Apr 2026

https://github.com/alezoon/movie-revenue-prediction

Sk-learn practice using Linear Regression, ML workflow practice.

jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 05 Apr 2026

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

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

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

Last synced: 11 Apr 2026

https://github.com/dyceszn/i.duruohacos102

First-year deep dive into problem-solving with Python—featuring class practices and projects using NumPy, Pandas, Tkinter, and psycopg2.

numpy psycopg2 python tkinter

Last synced: 18 Apr 2026

https://github.com/iv4n-ga6l/titanic-survival-prediction

a predictive model in Python that answers the following question: “using data relating to passengers (name, age, gender, socio-economic class, etc.), who has the greatest chance to survive?"

matplotlib numpy pandas python seaborn sklearn

Last synced: 18 Apr 2026

https://github.com/nksmanya/virtual_canvas

A hand gesture-based drawing app that lets you create art in the air using hand movements

mediapipe numpy opencv opencv-python python

Last synced: 18 Apr 2026

https://github.com/ashithapallath/feature-engineering

This repository contains a range of examples and techniques for feature engineering, aimed at improving dataset quality and boosting model performance. It covers essential methods such as Exploratory Data Analysis (EDA) and Interquartile Range (IQR) analysis for detecting and handling outliers.

exploratory-data-analysis feature-engineering iqr-method matplotlib numpy outlier-detection pandas python seaborn

Last synced: 18 Apr 2026

https://github.com/manalisbhavsar/mall-customers-clustering

K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.

data-analysis data-visualization matplotlib numpy pandas python scikit-learn

Last synced: 18 Apr 2026

https://github.com/swarnabhaghosh/house-price-prediction-model

Built an end-to-end regression pipeline to predict house prices using Linear Regression with automated preprocessing (PowerTransform, StandardScaling) via Scikit-learn's Pipeline and ColumnTransformer.

column-transformer linear-regression matplotlib-pyplot numpy pandas pipeline python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/alexkhype/04python-carpricepredictor

Modelo de machine learning para predecir el valor de mercado de autos usados, optimizando precisión y eficiencia.

catboost data-science lightgbm machine-learning numpy pandas python sklearn statistics xgboost

Last synced: 05 Apr 2026

https://github.com/jai0212/ai-virtual-painter

Real time finger and object painting using advanced computer vision technology with custom hand gestures and customizable colours

artificial-intelligence cmake computer-vision cpp mediapipe numpy opencv python

Last synced: 05 Apr 2026

https://github.com/ben854719/nvidia---gen-ai-

The goal of the project is to analyze and predict with the use of AI for the revenue of Nvidia

matplotlib numpy pandas python pytorch

Last synced: 05 Apr 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/nowon1/insurance-claim-prediction_version

This project aims to predict the insurance claim amounts based on various customer attributes using machine learning techniques. The project involves data preprocessing, exploratory data analysis, feature engineering, and model training and evaluation.

data-preprocessing data-science data-visualization exploratory-data-analysis feature-engineering insurance jupyter-notebook machine-learning numpy pandas predictive-modeling python random-forest regression-analysis scikit-learn

Last synced: 05 Apr 2026

https://github.com/andres15alvarez/numericalcalculator

Calculator of roots of equations and system of linear algebraic equations.

numerical-methods numpy python scipy

Last synced: 05 Apr 2026

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

Machine Learning python bootcamp: Recommender Systems on movies dataset

ipynb machine-learning numpy pandas python recommender-system scikit-learn seaborn

Last synced: 05 Apr 2026

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

O sistema utiliza inteligência artificial para analisar documentos e características físicas dos visitantes, garantindo que apenas maiores de 18 anos possam acessar as áreas de jogos

keras numpy pandas plotly python restnet50 sklearn tensorflow

Last synced: 05 Apr 2026

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