Data

Tools

Indexes

Applications

Experiments

Awesome

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/nmsby/pca-machine-learning-lab

Principal Component Analysis (PCA) implementation and analysis lab for Machine Learning. Features manual PCA implementation, scikit-learn applications, data compression, and feature extraction with detailed visualizations.

data-analysis dimensionality-reduction jupyter-notebook machine-learning numpy pca python scikit-learn visualization

Last synced: 01 May 2026

https://github.com/parneet-sandhu/virtual-try-on

This project uses OpenCV, Mediapipe, and NumPy to create an interactive virtual try-on experience. The application overlays a virtual accessory (e.g., glasses) onto the user's face using webcam input and allows users to control the brightness of the camera feed and capture screenshots using hand gestures.

computer-vision mediapipe numpy opencv python tkinter

Last synced: 19 Jan 2026

https://github.com/anarya22/heart-disease-classification

Predicting heart disease using machine learning. This notebook looks into various python base ML and DS libraries in an attempt to build a machine learning model capable of predicting whether or not someone has heart disease based on their medical attributes.

data-cleaning data-visualization machine-learning matplotlib numpy pandas scikit-learn

Last synced: 01 May 2026

https://github.com/billgewrgoulas/hypothesis-testing-on-37-seasons-of-nba

First assignment for the course Data Mining @CSE.UOI

data-analysis data-science numpy scipy seaborn statistics

Last synced: 01 May 2026

https://github.com/nirmalyabag20/crop-yield-prediction-using-machine-learning

This project uses machine learning to predict crop yields based on factors like region, crop type, rainfall, temperature, and pesticide use. By analyzing a dataset of over 28,000 records, the models provide accurate yield forecasts, helping optimize farming decisions and resource management, ultimately contributing to sustainable agriculture.

jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 06 Feb 2026

https://github.com/g0r0kh/forecast

layouts statistical analys for forecasting

matplotlib numpy pandas

Last synced: 30 Jan 2026

https://github.com/aarryasutar/pipe_leak_estimation_predictor_model

The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference

bayesian-networks cpd csv dag data-frames inference model-verification numpy pandas pgmpy pressure-sensors probabilistic-graphical-models probability python variable-elimination-algorithm

Last synced: 15 Apr 2026

https://github.com/kavayk29/quora-duplicate-question-pair

This project improves information retrieval by detecting duplicate question pairs in the Quora dataset using data exploration, text preprocessing, feature engineering, and models like Random Forest and LSTM, aiming to streamline question-answering.

beautifulsoup4 bilstm gensim keras lstm matplotlib numpy pandas pytorch random-forest seaborn sklearn tensorflow xgboost

Last synced: 21 Jan 2026

https://github.com/3rd-son/knn-breast-cancer-prediction-model-

A breast cancer prediction model using KNN with an accuracy of 96%

jupyter-notebook knn-classifier matplotlib numpy pandas python scikit-learn scipy search

Last synced: 11 Apr 2026

https://github.com/chriszethird/image-recognition-without-neural-network

After working on a end year project for University, showcasing the better energetic efficiency of Neuromorphic comparing two programs, I've decided to improve my second algorithm. You'll find 3 files of codes : the main programm, the calculation of its accuracy and the test on the MNIST data-base.

numpy python recognizing-handwritten-digits

Last synced: 06 Feb 2026

https://github.com/ejw-data/proj-nba-eda

NBA exploratory data analysis project with Pandas and Tableau

nba numpy pandas python tableau

Last synced: 14 Apr 2026

https://github.com/chuvalniy/torchy

Built from scratch neural network library using only NumPy

backpropogation from-scratch gradient math neural-net numpy pytorch-like

Last synced: 01 May 2026

https://github.com/geson-anko/numpy_ndarray_msgs

A ROS2 package for transmitting NumPy ndarrays between ROS2 nodes.

messaging numpy python ros2

Last synced: 23 Feb 2026

https://github.com/cosama/vasapy

Vectorized Associative Arrays for Python

associative-array associative-map dictionary numpy python vectorized

Last synced: 16 Mar 2026

https://github.com/ryantusi/ai_ml_fundamentals

Welcome to my GitHub repository showcasing projects completed during the AI/ML Foundation course from Codecademy. This repository contains a collection of projects that demonstrate my skills and knowledge in the field of artificial intelligence and machine learning.

artificial-intelligence data-science data-visualization exploratory-data-analysis foundation machine-learning numpy pandas python

Last synced: 14 Apr 2026

https://github.com/athari22/house_sales_in_king_count_usa

The idea of the project is to do a Data analysis in a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate.

analysis data data-science data-visualization ibm ibm-watson linearregression machine-learning matplotlib numpy pandas sklearn-library

Last synced: 01 May 2026

https://github.com/cploutarchou/covid-19-tracker-django-app

COVID-19 Tracker Dashboard for Cyprus.

django numpy pandas plotly redis

Last synced: 11 Apr 2026

https://github.com/prashver/stock-price-prediction-lstm

Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM), this project predicts Nestle India stock prices. The dataset spans from May 18, 2018 to May 20, 2022, and results are visualized using matplotlib.

keras lstm-model matplotlib numpy pandas recurrent-neural-network

Last synced: 12 Apr 2026

https://github.com/dimatura/imgutils

Miscellaneous Numpy and PIL utilities for images.

image numpy pil pillow python

Last synced: 19 Jan 2026

https://github.com/joshi-jyoti/heart-disease-prediction

This repository contains a Python-based project for predicting the likelihood of heart disease using a Logistic Regression machine learning model. It leverages a dataset of patient medical information to train and evaluate the model, providing insights into potential diagnoses.🩺

heart-disease-prediction heart-disease-predictor kaggle-dataset machine-learning numpy pandas python scikit-learn

Last synced: 01 May 2026

https://github.com/matx64/rs-netbot

Old School Runescape bot with CNN for object identification

cuda numpy python pytorch

Last synced: 04 May 2026

https://github.com/datarohit/end-to-end-machine-learning-projects

This repo contains multiple simple and complex End to End DataScience Projects crated using Python and Streamlit and hosted on Heroku and Streamlit.

heroku heroku-deployment machine-learning matplotlib numpy pandas python seaborn sklearn streamlit streamlit-webapp

Last synced: 14 Apr 2026

https://github.com/cchandre/rg

Renormalization for the break-up of invariant tori in Hamiltonian flows

expm hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 renormalization-group scipy

Last synced: 01 May 2026

https://github.com/kunalrrathod/placement-predictor

A web application that is using machine learning technology to deliver results ensuring the students are getting placed in campus placements

bootstrap4 flask-application jquery knearest-neighbor-algorithm machine-learning numpy pandas-dataframe python3 sklearn

Last synced: 15 Apr 2026

https://github.com/musfiquejim/enacp-a-hybrid-machine-learning-framework-for-detecting-anticancer-peptides

EnACP: একটি Ensemble Learning মডেল যা অ্যান্টিক্যান্সার পেপটাইড সনাক্তকরণের জন্য ব্যবহৃত হয়।

adamoptimizer ai cnn-classification data-visualization deep-learning densenet inceptionv3 machine-learning matplotlib-pyplot numpy pandas randomforestclassifier randomforestregressor restnet sklearn u-net-pytorch vgg16 vgg19

Last synced: 04 May 2026

https://github.com/scorleos773/three-body-problem-simulator

Three-Body Problem Simulation - A Python-based simulation of the Three-Body Problem with both 2D and 3D visualizations. Uses `matplotlib` and `scipy` to model gravitational interactions and animate orbital trajectories. 🚀🔭

differential-equations matplotlib mplot3d newtonian-mechanics numerical-integration numpy orbital-mechanics python runge-kutta-methods scipy-integrate three-body-problem three-body-simulation

Last synced: 02 May 2026

https://github.com/back2matching/turboquant-vectors

Compress embeddings 6x instantly with TurboQuant. First pip package using Google's TurboQuant (ICLR 2026) for vector search. 71.9% recall vs FAISS PQ 13.3%.

compression embeddings faiss machine-learning numpy quantization rag turboquant vector-search

Last synced: 08 Jun 2026

https://github.com/anish202020/weather_prediction_model_21int68_internship

Predicts weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.

keras-neural-networks keras-tensorflow matplotlib numpy pandas sklearn

Last synced: 12 Apr 2026

https://github.com/harmanveer2546/credit-card-fraud-detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

ann catboost eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xgboost

Last synced: 11 Apr 2026

https://github.com/y-india/project-smart-attendance-system-opencv

AI-powered Smart Attendance System using Face, Eye, and Mask detection — automates daily attendance with real-time computer vision and CSV logging. | see README below , please.

attendance-system automation cctv-cameras cctv-detection numpy opencv opencv-python pandas project projects python python3 real-world-problem-solving real-world-project webcam

Last synced: 02 May 2026

https://github.com/kwanit1142/sars-cov-2-detection-radiology-based-multi-modal-multi-task-framework

Keras-based Implementation for "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework" (Accepted in 45th IEEE EMBC 2k23)

gans keras matplotlib numpy opencv os pandas pillow scipy sklearn tensorflow transfer-learning wasserstein-distance

Last synced: 14 Apr 2026

https://github.com/shahinuralambhuiyan/learning-ml

Start learning Machine Learning basic from CodeBasics Channel

anaconda jupyter-notebook kaggle-dataset matplotlib numpy pandas pip python

Last synced: 12 Apr 2026

https://github.com/socaity/media-toolkit

Web-ready standardized file processing and serialization. Read, write, convert and send files. Including image, audio, video and any other file. Easily convert between numpy, base64, bytes and more.

base64 bytesio fast-task-api httpx image-processing json numpy serialization video

Last synced: 27 Oct 2025

https://github.com/esvs2202/credit-card-fraud-detection-system

This fraud detection system is powered by a Machine Learning model, which accurately identifies whether an initiated transaction is fraudulent.

azurewebapp flask gunicorn-web-server html-css machine-learning matplotlib-pyplot numpy pandas powerbi python3 randomforestclassifier seaborn

Last synced: 12 Apr 2026

https://github.com/linggarm/smart-caloriemax

A web app that utilizes Genetic Algorithms to generate a list of foods offering maximum calorie content within a specified budget.

artificial-intelligence css evolutionary-algorithms flask genetic-algorithms html javascript knapsack-problem machine-learning numpy python

Last synced: 12 Apr 2026

https://github.com/hokagem/byakuganvisualizer

The ByakuganVisualizer repository hosts a Python tool designed to compare images and highlight their differences. It simplifies the process of identifying disparities between images, making it ideal for tasks like testing and quality assurance. Moreover, it offers a color filter that can be used to correct images for color-blind users.

color-blind color-correction colorblind image-manipulation numpy pillow

Last synced: 21 Jan 2026

https://github.com/kaikymoura/backcourt-api

Repository for the Basketball Advanced Stats API

fastapi nba-api nba-stats numpy pandas python swagger uvicorn

Last synced: 03 May 2026

https://github.com/nemeslaszlo/financial-crisis-effects-on-some-stocks

Focusing on bank stocks to see how they progressed throughout the 2008-09 financial crisis all the way to early 2016.

cufflinks jupyter-notebook matplotlib numpy pandas pandas-datareader plotly seaborn

Last synced: 03 May 2026

https://github.com/ola-kaznowska/ai-digit-recognition

AI digit recognition. Artificial neural network for digit recognition

ai artificial-intelligence machine-learning neural-network numpy tensorflow

Last synced: 14 Apr 2026

https://github.com/code-taweezy/thermos-ai

An AI-powered thermal optimization and anomaly detection system for energy-efficient data centers. Note: this is a MVP

ai case-study data-visualization lovable-ai machine-learning matpplotlib mvp numpy pandas project python sckiit-learn seaborn solution tensorflow

Last synced: 02 May 2026

https://github.com/fatma-moanes/deep-learning-labs

My implementation for the labs of the Neural Networks and Deep Learning course that I studied at my university, Zewail City.

classification cnn data-science deep-learning gan keras matplotlib neural-network-architectures neural-networks numpy pandas preprocessing python regression-models regularization seaborn tensorflow time-series-analysis

Last synced: 14 Apr 2026

https://github.com/prashver/titanic-survival-prediction

This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.

classification-algorithm machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn

Last synced: 02 May 2026

https://github.com/jilliennelapid/finalproject_group53

Final Project for COP2080. Audio Graphical software that works with mono-channel .wav files and plots them in various ways.

matplotlib numpy pydub python scipy tkinter

Last synced: 14 Apr 2026

https://github.com/hamdaniqhmqd/sistem-cerdas

I use this repository for my storage, especially in the intelligent systems course in semester 3

matplotlib numpy pandas python streamlit

Last synced: 20 Apr 2026

https://github.com/mikediessner/benchfuncs

Benchmark functions to test optimisation algorithms.

benchmark-functions numpy optimization test-functions

Last synced: 17 May 2026

https://github.com/iv4n-ga6l/realtime-car-traffic-tracking

Realtime car traffic tracking using yolov8 model

cartracking numpy opencv python ultralytics yolov8 yolov8n

Last synced: 02 May 2026

https://github.com/Zion-Dev1/E-commerce-Analysis

Short machine learning project which analyses customer behaviour 🔎

analysis clustering ecommerce machine-learning numpy pandas sklearn

Last synced: 24 Oct 2025

https://github.com/zazi2002/machine-learning-project

Introduction to Machine Learning project with the goal of improving the classification performance on a dataset by optimizing the number of features and weak learners.

dimentionality-reduction ensemble-learning numpy pca random-forest scikit-learn

Last synced: 02 May 2026

https://github.com/madhuresh2011/telco-customer-churn-analysis-using-python

The analysis primarily investigates factors influencing customer churn, particularly focusing on payment methods and contract types.

csv data-analysis matplotlib numpy pandas pyhton seaborn vizualisation

Last synced: 02 May 2026

https://github.com/italoseara/cet083

Medidas de Posição (ou separatrizes) - CET083

data-science matplotlib numpy pandas portuguese python statistics university

Last synced: 03 May 2026

https://github.com/garcane/Income-Prediction-ML

This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.

data data-science machine-learning ml numpy pandas python random-forest scikit-learn

Last synced: 24 Oct 2025

https://github.com/danhenriquex/data-science-project

The main goal of this project was to apply the concepts of data visualization and analysis.

data-analysis data-science numpy pandas python

Last synced: 12 Apr 2026

https://github.com/octcarp-courses/SUSTech_CS303-AI_F23_Works

(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.

numpy pytorch sustech

Last synced: 24 Oct 2025

https://github.com/hansalemaos/numba_aot_compiler

A function to facilitate the Ahead-of-time compilation with Numba

aheadoftime aot compile numba numpy pyd

Last synced: 23 Jan 2026

https://github.com/gaurangdave/house_price_predictions

Machine Learning Application to predict House Prices

hands-on learning-by-doing machine-learning numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/cs-joy/numpyv1.25.2

@numpy

numpy

Last synced: 03 May 2026

https://github.com/pratishtha-abrol/principlecomponentanalysis

Principle Component Analysis with Numpy and Python

numpy principal-component-analysis python

Last synced: 03 May 2026

https://github.com/gauravsakure02/pubg_win_prediction

Predicting PUBG game wins using a dataset involves analyzing various in-game features such as player kills, distance traveled, and weapons acquired to build a model that forecasts the likelihood of winning a match based on player performance, helping in winning game

matplotlib numpy pandas sklearn

Last synced: 29 Apr 2026

https://github.com/ladityagogoi/shadowguard

The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices

css flask html javascript joblib numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/harikrishnan669/python

Basic Python programs and Try outs..

matplotlib numpy pandas python tkinter tkinter-gui

Last synced: 27 Jan 2026

https://github.com/iv4n-ga6l/Realtime-Car-Traffic-Tracking

Realtime car traffic tracking using yolov8 model

cartracking numpy opencv python ultralytics yolov8 yolov8n

Last synced: 28 Apr 2025

https://github.com/realtristan/micronet

Neural network library from scratch

neural-networks numpy python pytorch

Last synced: 03 May 2026

https://github.com/smolodtsova13/website

Веб-сайт для стоматологии

bootstrap django numpy pandas python

Last synced: 11 Apr 2026

https://github.com/miroslav-reiter/kurz_ako_sa_stat_datovym_analytikom_python

🐍 Ako sa stať Dátovým ANALYTIKom v Pythone - Materiály, zdroje, skripty k večernému online školeniu Ako sa stať Dátovým Analytikom v Pythone pre Robime.it (Mentor Partners)

analysts analytics data-science math matplotlib numpy pandas python reiter scipy vizualisation

Last synced: 04 Apr 2026

https://github.com/ngirimana/decision-trees-and-random-forest-

For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).

artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn

Last synced: 11 Apr 2026

https://github.com/elazzouzihassan/si-fraud-detection-prototype

Système de Détection des Fraudes avec Python (Prototype).

googlecolab matplotlib numpy pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/adityashinde716/liam-the-healthcare-chatbot

Made a healthcare chatbot Liam which will help you to detect your health problem and gives precautions.

csv numpy pandas python python3 random random-forest random-forest-classifier requests sklearn sklearn-library sklearn-model

Last synced: 05 May 2026

https://github.com/avijit-jana/used-car-price-prediction

A Streamlit-based application utilizing machine learning to predict used car prices based on features like make, model, year, fuel type, and transmission, enhancing customer experience and streamlining the pricing process.

carpriceprediction data-science jupyter-notebooks machine-learning numpy pandas pickle pricing-data-science python3 streamlit streamlit-webapp webapplication

Last synced: 11 Apr 2026

https://github.com/djleamen/music-mood-matcher-demo

An intelligent music recommendation system that analyzes your mood through natural language and suggests personalized playlists using advanced AI and machine learning techniques.

demo machine-learning matplotlib ml natural-language-processing nlp nltk nltk-python numpy openai pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/shibam120302/plant_deseases_prediction

Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control.

keras numpy opencv python

Last synced: 13 Apr 2026

https://github.com/aymen016/data-visualization

A collection of data analysis projects using Python, covering various datasets and domains. Includes EDA, preprocessing, data visualization (Matplotlib/Seaborn), and Power BI dashboards.

dashboard eda jupyter-notebook matplotlib-pyplot matplotlib-python numpy pandas pandas-dataframe powerbi python seaborn seaborn-python visualization

Last synced: 15 Jun 2026

https://github.com/403errors/offset-to-hydrostatic-curve

Group project for making hydrostatic curves from the given ship offset table using python libraries

data-visualization matplotlib-pyplot numpy python3 sklearn

Last synced: 10 May 2026

https://github.com/dhruvv1402/ai-based-realtime-hand-detection-using-opencv-and-mediapipe

A real-time AI system for detecting and tracking hands using Python, OpenCV, and Mediapipe. This project demonstrates how to identify hand landmarks and extract gesture data for further applications like gesture control, sign language interpretation, and more.

mediapipe numpy opencv os python python3 time

Last synced: 12 Apr 2026

https://github.com/ayaanjawaid/google_playstore_data_analysis

This project provides an in-depth analysis of Google Play Store apps and user reviews, focusing on understanding app performance, user sentiment, and key trends in app categories. Using Python, I performed data cleaning, feature engineering, and exploratory data analysis (EDA) on app data and reviews.

data-analysis eda html numpy pandas-dataframe plotly python vizualisation

Last synced: 24 Feb 2026

https://github.com/palak-463/tablataalrecognitionsystem

Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument. 🎛️

cnn deep-learning flask fnn librosa numpy os pickle python scikit-learn

Last synced: 11 Apr 2026

https://github.com/hansalemaos/cythonunique

Fast implementation of unique elements in an array - up to 30x faster than NumPy

faster numpy unique

Last synced: 28 May 2026

https://github.com/otaboyevsardorbek1/math_web

MATEMATIK FUNQSIYLARNING O`ZARO YAQINLASHISHNI TESHKIRISh

css fast-work flask js numpy python web3

Last synced: 12 Apr 2026

https://github.com/kaleharshavardhan07/spam_mail-_detector_ai_model

This project implements a spam detection system for SMS messages using machine learning techniques.

mathplotlib nltk numpy panda python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/anvesham/machinelearning_models_using_matlab

Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers

bagging-ensemble bayesian-optimization decision-trees jupyter-notebook machine-learning matlab multiple-linear-regression-model numpy python random-forest-regression

Last synced: 11 Apr 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
NumPy Categories
Blogs 404 Libraries 239 ⚡ Productivity 101 🧠 AI Applications & Platforms 96 🐍 Python 91 Exercises 87 Models and Projects 74 📚 Skill Development & Career 67 🗃️ SQL & Databases 53 Tutorials and Blog Posts 53 🤖 Machine Learning & AI 52 📦 Additional Python Libraries 51 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 36 Videos 34 🎲 Statistics & Probability 34 Web 33