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/rakesh3596/tutedude_projects

It consist of 3 major project 1:Covid19 Analysis 2:Rainfall Prediction 3:Tumor Detection

csv-files matplotlib numpy pandas plotly python sklearn-library

Last synced: 16 Apr 2026

https://github.com/codersales/machine-learning-classification

machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4 | frequent

authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation

Last synced: 07 Mar 2026

https://github.com/limix/ndarray-listener

Implementation of the Observer pattern for NumPy arrays.

numpy observer-pattern

Last synced: 14 Feb 2026

https://github.com/mattia-hulathduwage/wine-quality-analyzer

A machine learning project that analyzes wine quality using clustering, regression, and classification techniques. The model predicts wine quality scores based on chemical properties and determines the most influential features affecting quality.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/killervardhan8/gesturedecode

The Sign Language Interpretation project focuses on recognizing and interpreting hand gestures to facilitate communication for individuals who use sign language. This project leverages computer vision and machine learning techniques to accurately identify and translate hand signs into text

csv mediapipe numpy python tensorflow

Last synced: 28 Feb 2026

https://github.com/ben854719/trade-transfer-workflow-optimizer

This AI portfolio tools securely analyzes asset allocation, sector exposure, and performance. Its graph compares real and predicted close prices, enhanced with sentiment indicators such as “Confident” and “Surprised.” An avatar assistant provides user guidance combining technical accuracy with intuitive explanations.

agentic-ai avatar cryptography emotion-analysis encryption gemini json langgraph langraph machine-learning-algorithms matplotlib mcp-server numpy opencv-python pandas python pytorch rs256 seaborn

Last synced: 15 Feb 2026

https://github.com/nagar2nd/ml-regressionmodel---cardekho-price-prediction

This repository features a machine learning model for predicting used car prices using data from CarDekho.com. The project leverages exploratory data analysis and regression techniques to empower sellers and buyers with actionable insights in the Indian used car market.

analytics cleaning-data data linear-regression machine-learning matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/jessicahora/studies-on-linear-algebra

Repositorio com Estudos sobre Algebra Linear.

linalg linear-algebra matplotlib-pyplot matrix numpy python scipy

Last synced: 01 Mar 2026

https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3

This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.

imbalanced-learning numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

https://github.com/sasanka14/water_quality_predictions

Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀

anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

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

Machine Learning python bootcamp: logistic regression on advertising dataset

ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/williyam-m/movie_booking_app

A Django-based movie booking app featuring an admin dashboard with CRUD functionality for movies, theatres, screens, shows, and bookings. Includes an ML-powered movie recommendation system.

django machine-learning numpy orm pandas python sckiit-learn sqlite3

Last synced: 16 Apr 2026

https://github.com/urvee1810/air-quality-prediction-using-arima

Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.

arima-model dickey-fuller-test matplotlib numpy pandas python seaborn statistical-analysis time-series-analysis

Last synced: 16 Apr 2026

https://github.com/thiti-dev/attendance-management-system

A quick casual project just only for a demonstration in the discrete mathematics course

numpy opencv pandas pillow tkinter

Last synced: 16 Apr 2026

https://github.com/ashwin331133/liver_disease_detection

This dataset consists of 416 liver patient records and 167 non-liver patient records collected from North East of Andhra Pradesh, India. And The main objective of this project is to use classification algorithms to detect liver patients from healthy individuals.

data-visualization machine-learning numpy pandas python

Last synced: 16 Apr 2026

https://github.com/macktb/tetris

Tetris game

list-comprehension numpy

Last synced: 16 Apr 2026

https://github.com/abhishekpsonawane07/loan-repayment-prediction-ml

Loan Approval Prediction uses machine learning to analyze factors like income and credit history, automating and improving the loan approval process. The project ensures accurate, efficient, and user-friendly predictions with a Gradio interface.

artificial-neural-networks confusion-matrix decision-trees gradio-interface k-nearest-neighbours loan-dataset loan-prediction-analysis loan-repayment logistic-regression numpy pandas python random-forest sckiit-learn seaborn support-vector-machines

Last synced: 16 Apr 2026

https://github.com/shiqilu77/machinlearning-lol_gaming

a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc

league-of-legends machine-learning numpy supervised-learning

Last synced: 16 Apr 2026

https://github.com/archish27/pythontutorial

Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications

matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup

Last synced: 01 Apr 2026

https://github.com/sahiltiwariiii/dssp

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit

Last synced: 27 Mar 2026

https://github.com/rahulchouhan1/spotify-most-popular-songs-data-analysis

🎵 Spotify Songs Analysis using Pandas

matplotlib numpy pandas

Last synced: 16 Apr 2026

https://github.com/laurencewarne/eratosthenes

Random implementations of the sieve of Eratosthenes

algorithm eratosthenes numpy python3

Last synced: 16 Apr 2026

https://github.com/littie28/hazy-frames

Hierarchical coordinate frames - crystal clear transforms

3d coordinate-systems geometry numpy python reference-frames scipy transformations

Last synced: 18 Apr 2026

https://github.com/bishopce16/school_district_analysis

The school board requested an analysis on the various performance metrics for the school district.

data-analysis jupyter-notebook numpy pandas python visual-studio-code

Last synced: 16 Apr 2026

https://github.com/basith-ahmed/mtrp-butcher

A Machine Learning model, utilizing a range of technical indicators to accurately forecast forthcoming trend reversals with a high degree of confidence. This model is also complemented by an interactive web interface.

exponential-moving-average ipynb logistic-regression macd machine-learning matplotlib numpy pandas python rsi stochastic-rsi streamlit technical-analysis yfinance

Last synced: 04 Mar 2026

https://github.com/kunalkumar2001/data-analyst-python-and-its-library

Python (Basics to Advance) and Its Library for Data Analyst

dataanalyst matplotlib numpy pandas python seaborn

Last synced: 17 Apr 2026

https://github.com/priyanshul28/ml_eda_regression_energyconsumptionforecasting

An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.

forcasting machine-learning numpy pandas scikit-learn time-series-analysis

Last synced: 17 Apr 2026

https://github.com/hansalemaos/npchessimage

Creates a chessboard pattern as an image.

chessboard cv2 image numpy

Last synced: 05 Mar 2026

https://github.com/gautam-cs/data_science

In this project, I was trying to get most of the relevent information of the data using library like numpy, pandas. I have worked on data like aadhar data, Olympics data

aadhar-data csv data-science json numpy olympics-data pandas python35

Last synced: 17 Apr 2026

https://github.com/syedzaheerabbas/risk-analytics-with-python

This project focuses on developing a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.

eda hypothesis-testing numpy pandas python risk-analysis seaborn

Last synced: 17 Apr 2026

https://github.com/shashwat9kumar/us-accidents-data-analysis

Analysis of the US accidents using the US-Accidents dataset (4.2 million entries) from Kaggle

accidents accidents-analysis data-analysis data-analytics data-visualisation data-visualization matplotlib numpy pandas python

Last synced: 17 Apr 2026

https://github.com/ricobuilds/ml-roadmap

Opinionated roadmap to machine learning in 2023

conda huggingface machine-learning matplotlib numpy pandas python pytorch

Last synced: 06 Mar 2026

https://github.com/gauravtrivedi967/lane_detection

Lane detection and tracking are the advanced key features of the advanced driver assistance system. Lane detection is the process of detecting white lines on the roads. In this we I have used prebuild models for the development of the code

ipython-notebook numpy python thresholding

Last synced: 06 Mar 2026

https://github.com/kheriberto/knn_project

This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.

data-analysis knn-classifier numpy python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/esraamhmd/intelligent-skin-cancer-image-based-detection-models

This project combines traditional machine learning approaches with advanced deep learning techniques to assist healthcare professionals in early diagnosis and improve patient outcomes.

ai deep-learning ham10000 isic kaggle machine-learning matplotlib numpy pandas python3 pytorch seaborn skin-cancer skin-detection sklearn time torchvision tqdm

Last synced: 02 Apr 2026

https://github.com/iamwatchdogs/cardiovascular-risk-prediction

This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.

jupyter-notebook machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/broodhoney/blue-book-for-bulldozers

This repository holds the project which solves a regression problem on predicting the futures sales of bulldozers. This is from a kaggle competition.

matplotlib numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/satyas567/weatherdataanalysis

Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/offthetab/ml_homework

Практические работы по анализу данных МИРЭА 3 курс.

ml numpy pandas python shap sklearn xgboost

Last synced: 02 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/niteshchawla/clustering-ml

Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.

cluster-analysis clustering hierarchical-clustering k-means-clustering machine-learning numpy pca-analysis visualisation

Last synced: 17 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/ledsouza/curso_de_estatistica_parte_4

Projeto de estatística para estudo de correlação e regressão

data-science data-visualization numpy pandas seaborn statsmodels vitrinedev

Last synced: 17 Apr 2026

https://github.com/renan-siqueira/reinforcement-learning-cart-pole

This repository provides implementations of a Q-learning agent to balance a pole on a cart.

artificial-intelligence gym-environment machine-learning numpy openai-gym pygame python qlearning-algorithm reinforcement-learning

Last synced: 17 Apr 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/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/cosmicsid004/air_draw

Digital drawing....

handtracking mediapipe numpy opencv

Last synced: 30 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/nikhilsree5/aerofitcasestudy

Customer Profiling and Market Segmentation for AeroFit Treadmills: A Data-Driven Approach

customerprofile eda numpy pandas python visualization

Last synced: 17 Apr 2026

https://github.com/theakashshukla/diabetes-prediction

Diabetes Prediction using futuristic tool

ai jupiter-notebook ml numpy pandas sklearn

Last synced: 17 Apr 2026

https://github.com/khushi130404/binning-binarization

This project demonstrates binning and binarization on the Titanic dataset, comparing results with and without numeric encoding. Visualizations highlight the transformations and their impact on survival analysis.

binarization binarizer binning columntransformer decision-trees matplotlib numpy pandas

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/prahaladhchandrahasan/object-localization

this is a blue colour detector in keras and tensorflow

computer-vision keras numpy pkl tensorflow

Last synced: 17 Apr 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/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/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/rosieoh/emergency_dataanalysis

오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석

ipython matplotlib numpy pandas python scikit-learn scipy

Last synced: 04 Apr 2026

https://github.com/varakanthamsaihruthikreddy975/champo_carpets_case_analysis_python

the champo carpets case study Analysis in python, this is still under development this will be a more comprehensive analysis than previous one in R. I have the complete version of code in R refer to this link - ( https://github.com/VarakanthamSaiHruthikReddy975/Champo_Carpets_Case_Study_Analysis)

case-analysis jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python3 seaborn

Last synced: 17 Apr 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/lexxai/goit_python_ds_hw_01

GoIT, Python Data Science, Homework number 1.

data-science google-colab jupyter-nootebook numpy numpy-arrays python

Last synced: 18 Apr 2026

https://github.com/27ahmad/movie-recommendation-system

Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.

movie-recommendation numpy pandas python scikit-learn

Last synced: 04 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/thoughtscript/python_api_2023

Some fun with Flask, Python, and Machine Learning

angular docker docker-compose flask machine-learning mysql numpy

Last synced: 04 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/kasraskari/python-for-data-science

Foundational concepts and libraries for data science with Python.

data-science jupyter-notebook matplotlib numpy pandas python scipy

Last synced: 04 Apr 2026