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/nekruzash/machine-learning-decision-trees

This is from CS2023 - AI/DS/ML class, trained a machine learning model with heart disease data sets to predict a correlation using numpy and pandas.

jupyter-notebook numpy pandas python

Last synced: 02 May 2026

https://github.com/rakibhhridoy/machinelearning-featureselection

Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.

extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest

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/pratishtha-abrol/principlecomponentanalysis

Principle Component Analysis with Numpy and Python

numpy principal-component-analysis python

Last synced: 03 May 2026

https://github.com/harshitwaldia/stock-price-prediction

An AI-driven stock market analysis dashboard that predicts next-day stock prices using a deep learning LSTM model. The project features: 🔮 AI Predictions for stock movements 🌍 Global market support (US, India, China, Japan, UK) 📊 Interactive React dashboard with charts & recent searches ⚡ Flask backend powered by Tensor/Keras & Yahoo Finance

dashboard flask flask-cors keras-tensorflow lstm-neural-networks machine-learning numpy react-typescript scikit-learn stock-price-prediction

Last synced: 03 May 2026

https://github.com/realtristan/micronet

Neural network library from scratch

neural-networks numpy python pytorch

Last synced: 03 May 2026

https://github.com/itzzmeakhi/investigate-tmdb-dataset

Tmdb dataset is taken to perform analysis. Messy data is cleaned by performing many steps like dropping null values and rising values and analyzing correlation among them using visualization techniques using matplotlib and seaboarn to derive the answers that i imposed during the early stages of analysis.

csv matplotlib numpy pandas python3 seaborn

Last synced: 03 May 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/priyanka7411/customer-churn-prediction

Customer Churn Prediction using machine learning. This project covers the full data science lifecycle—data cleaning, exploratory analysis, feature engineering, model building, and extracting actionable business insights.

jupyter-notebook model numpy pandas python random-forest-classifier scikit-learn-matplotlib-seaborn

Last synced: 04 May 2026

https://github.com/mgobeaalcoba/datacademy

Iré subiendo los distintos desafíos del reto de Platzi llamado Datacademy

anaconda deepnote google-colab jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/quinta0/pycolors

A python program to help people with color blindness recognize color in an image

colorblindness colors image-processing numpy pandas-dataframe python tkinter-gui

Last synced: 05 May 2026

https://github.com/winter000boy/my-project-portfolio

Welcome to My Project Portfolio! This repository is a comprehensive collection of my work in Java programming, Python development, Machine Learning (ML), Artificial Intelligence (AI), and Web Development. Organized for ease of access, this portfolio highlights innovative and practical projects tailored to solve real-world challenges.

ai artificial-intelligence artificial-neural-networks bootstrap data-science deep-learning flask-application java-projects machine-learning numpy pandas-python potfolio-site python-projects python3 spring-boot tkinter-gui web-development

Last synced: 05 May 2026

https://github.com/anupam0202/contextual-rag-chatbot

Contextual RAG Chatbot that processes PDF documents using the Google Gemini API

google-generativeai numpy pypdf2 scikit-learn streamlit

Last synced: 05 May 2026

https://github.com/khaymanii/fake_news_prediction_model

This model was built using python and logistic regression algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 05 May 2026

https://github.com/subh888999/-online-food-ordering-behavior-analysis-projects

This project analyzes online food ordering behavior to uncover key insights on customer preferences, restaurant performance, and factors influencing order volume. Through data-driven analysis, it aims to help optimize pricing, delivery times, and customer experience for food delivery platforms and restaurants.

matplotlib numpy pandas python seaborn statistics

Last synced: 05 May 2026

https://github.com/flazefy2/ds-customer_shopping

https://www.kaggle.com/datasets/bhadramohit/customer-shopping-latest-trends-dataset

data-science data-visualization jupiter-notebook numpy python sales shopping squarify statistics

Last synced: 05 May 2026

https://github.com/lintangwisesa/python_recommendation_system

Basic recommendation system using Python & Sklearn

numpy pandas python recommendation-system sklearn

Last synced: 05 May 2026

https://github.com/sarthak-1408/rain-fall-prediction

This repository represents the End to End Machine Learning Project (Rain Fall Prediction in Australia).

heroku heroku-deployment machine-learning numpy pandas rain-fall rain-fall-prediction scikit-learn xgboost-algorithm

Last synced: 05 May 2026

https://github.com/bredalis/numpy

✨ Library to work with arrays ✨

arrays data matrix numpy numpy-arrays numpy-library python

Last synced: 06 May 2026

https://github.com/darshan12345678910/air-quality-prediction-ml-algorithms

AirPredict AQI prediction using classification algorithm

classification-algorithims gradio-interface numpy pandas

Last synced: 06 May 2026

https://github.com/rudrakshi99/movie-recommendation-system

Movie recommendation system using machine learning and predict user ratings for the movies.

dataframes machine-learning matplotlib numpy pandas seaborn

Last synced: 07 May 2026

https://github.com/thevarunsharma/similar-word-finder

A web application with Python backend which finds words similar to a given word, using pre-trained GloVe word embeddings.

flask-application machine-learning nlp numpy python word-embeddings

Last synced: 07 May 2026

https://github.com/ayaanjawaid/brain_stroke_prediction

project aims to predict the likelihood of a stroke based on various health parameters using machine learning models. The dataset is preprocessed, analyzed, and multiple models are trained to achieve the best prediction accuracy.

decision-trees exploratory-data-analysis matplotlib numpy pandas python regression xgboost

Last synced: 07 May 2026

https://github.com/akashash01/akash_linear-regression

This is an linear approach machine learning model used to predict the values of variable(dependent) based on other variables(independent).

anova-test autocorrelation data-science heteroscedasticity linear-regression machine-learning mape multicollinearity numpy pandas python supervised-learning

Last synced: 07 May 2026

https://github.com/hansalemaos/numpycythonpermutations

Permutations, Combinations and Product for Numpy - written in Cython - 20x faster than itertools

c combinations cython fast itertools numpy permutations product python

Last synced: 08 May 2026

https://github.com/prasadlokhande-880/imagetransformationtool

This script demonstrates image transformations using OpenCV, including shifting, resizing, rotating with scaling, and skewing for various image processing tasks.

ai datamanipulation ml numpy opencv python

Last synced: 08 May 2026

https://github.com/ki-seki/set_determ

Set deterministic modes of `random`, `torch` and `numpy` to ensure reproducibility. Idea is inspired by https://darinabal.medium.com/deep-learning-reproducible-results-using-pytorch-42034da5ad7

deterministic numpy pytorch random-generation reproducibility

Last synced: 08 May 2026

https://github.com/lgeiger/mypy-einsum

MyPy Type Checking for NumPy/Jax/PyTorch Einsum Operations

deep-learning einsum jax mypy mypy-plugins numpy pytorch

Last synced: 09 May 2026

https://github.com/deusares/drawerfunctions

A collection of PIL, Numpy and OpenCV functions to manipulate images

generative graphic image-processing numpy opencv pil pillow python

Last synced: 09 May 2026

https://github.com/huifer/python_doc

python技术相关

numpy pandas python requests

Last synced: 11 May 2026

https://github.com/amir78729/cv2-video-art

Creating an image from an input video's frames

cv2 numpy pil python video

Last synced: 11 May 2026

https://github.com/michaelfeil/lstm-dlnn2020

Character-LSTM implementation in Numpy

lstm nlp-machine-learning numpy

Last synced: 14 May 2026

https://github.com/anishshinde01/machine-learning-exercises

Python implementations of machine learning, statistics, and mathematical foundations.

linear-algebra machine-learning machine-learning-algorithms matplotlib numerical-analysis numpy python scikit-learn scipy statistics

Last synced: 11 Jun 2026

https://github.com/hansalemaos/cythonsequencefinder

Module for finding sequences in arrays using Cython and NumPy.

cython finder locate numpy sequence

Last synced: 17 Jun 2026

https://github.com/duoan/machine-learning-notebook

A notebook repository for tracking learning machine learning notebook.

data-analysis decision-tree ensemble-model gbdt machine-learning numpy pandas xgboost

Last synced: 18 Jun 2026

https://github.com/talapanenivarshithchowdary/asteroid-detection-ml

This project uses Machine Learning to detect and classify asteroids based on trajectory and size, aiding in Near-Earth Object detection and planetary defense.

classification data-science decision-trees jupyter-notebook knn logistic-regression machine-lea matplotlib numpy pandas pillow prediction python3 random-forest scikit-learn

Last synced: 11 Apr 2026

https://github.com/rkarahul/ok.win-big-small-predictor

Predict the next “Big” or “Small” outcome on the OK.Win lottery-style game using OCR + time-series features + ML.

joblib numpy opencv-python paddleocr paddlepaddle paddlepaddle-gpu pandas python sckit-learn

Last synced: 13 Apr 2026

https://github.com/miss-mhv/udacityproject_dataviz

Data analysis of a bicycle rental system. The goal is to understand how trips are made according to age, time of year, day of the week, time of day

jupyter-notebook matplotlib numpy pandas python3 seaborn-plots

Last synced: 13 Apr 2026

https://github.com/rajsinha7/hand-gesture-recognition

This project serves as a foundation for integrating hand gesture controls into interactive applications like games, presentations, or robotic controls. It features: Real-time hand tracking with MediaPipe Hands and Live visualization of hand landmarks and gesture labels

mediapipe numpy opencv python

Last synced: 13 Apr 2026

https://github.com/alinenog/desenvolve_gb_2022

Formação Desenvolve 2022 do Grupo Boticário na área de dados

data-analysis data-science googlesheet machine-learning numpy pandas python

Last synced: 13 Apr 2026

https://github.com/charles-l/rayboi

a raytracer written in futhark/python

futhark numpy pathtracing python3 raytracing

Last synced: 19 Apr 2026

https://github.com/allanotieno254/pinecone-index-creation-vector-store-database-

This project demonstrates how to create an index in Pinecone, a vector database optimized for similarity search and machine learning applications. The notebook covers setting up a Pinecone client, creating an index, and managing vector data efficiently.

index jupyter-notebook numpy pinecone python

Last synced: 13 Apr 2026

https://github.com/vasu7052/recognizing-handwritten-digits

This is a machine learning project created in Python using Neural Networks and Supervised Learning Algorithms.

machine-learning machine-learning-algorithms numpy python scikit-learn

Last synced: 13 Apr 2026

https://github.com/debjyotisaha/web-application-projects

Web Applications developed with the help Python libraries and ML algorithms

algorithms cufflinks machine-learning matplotlib numpy pandas prediction python scikit-learn seaborn sklearn streamlit

Last synced: 13 Apr 2026

https://github.com/ashraf-khabar/bank-marketing-data-analysis

This project is focused on analyzing bank marketing data using PyTorch, pandas, numpy, and scikit-learn. The goal is to build a predictive model that can help identify potential customers who are more likely to subscribe to a bank's term deposit.

data-cleaning data-science data-visualization dataset deep-learning deep-neural-networks feedforward-neural-network learning neural-networks numpy pandas python pytorch sklearn

Last synced: 09 Apr 2026

https://github.com/mattmoony/ann_mnist

Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️

adam ann deep-learning learning-algorithm machine-learning ml mnist mnist-handwritten-digits momentum neural-net neural-network normalization numpy regularization relu sigmoid tanh

Last synced: 09 Apr 2026

https://github.com/cezlul/analyse-ventes-immobilier

Solution ML d'analyse immobilière parisienne : classification automatique appartements vs commerces (K-means, 91%) et prédiction prix (régression, R²=0.98) sur 26K transactions. Valorise portefeuille 169M€ avec recommandations stratégiques data-driven.

data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python sklearn

Last synced: 13 Apr 2026

https://github.com/samestrin/image-manipulation-api-digitalocean

A Python DigitalOcean App Platform based REST image manipulation API using Flask, NumPy, and OpenCV that runs in a Docker container.

api docker flask image image-processing numpy python python3 rest rest-api

Last synced: 13 Apr 2026

https://github.com/oleksiilatypov/titanic_ml

Titanic Survival Prediction using ML and Flask Deployment.

data-science docker flask machine-learning numpy pandas skit-learn

Last synced: 13 Apr 2026

https://github.com/kmkurn/text2array

Python library to convert text dataset into arrays.

deep-learning natural-language-processing neural-networks numpy

Last synced: 14 May 2026

https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure

A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.

eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn

Last synced: 11 Apr 2026

https://github.com/lmizner/grokking_data_science

Coding practice for basic data science interview questions in Python

data-science numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage

Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.

analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations

Last synced: 09 May 2026

https://github.com/eesunmoon/aml_project

[Project] Analyzing Fitness Patterns & Building Predictive Models

matplotlib numpy pandas python3 recommender-system scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/jakubfr4czek/apartment-prices-analysis

This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieństwa i statystyka" (probability and statistics) course i took at AGH University of Science.

agh agh-wi analysis csv jupyter jupyter-notebook krakow numpy pandas price-analysis price-prediction probability probability-statistics python statistics statistics-learning

Last synced: 04 May 2026

https://github.com/danaelshrbiny10/gold-prices

The Egypt Gold Prices project is a data analysis and visualization initiative that focuses on tracking and understanding the daily gold prices in Egyptian pounds per gram.

data-visualization docker docker-compose matplotlib mongodb numpy pandas powerbi python3 webscraping

Last synced: 13 Apr 2026

https://github.com/blairnangle/python3-numpy-ta-lib

Docker image with NumPy and TA-Lib installed. Built and uploaded to Docker Hub using GitHub Actions.

docker numpy python3 ta-lib

Last synced: 13 Apr 2026

https://github.com/venkat-0706/accenture-hackathon

Developing an e-commerce recommendation system involves utilizing technologies such as Python for programming, Pandas for data manipulation, SQL for database management, FastAPI for building APIs, PostgreSQL for data storage, and Docker for containerization.

alembic api docker fastapi machinelearningalgorithms matplotlib numpy postgresql pydantic python3 scipy seaborn sqlmodel

Last synced: 13 Apr 2026

https://github.com/riju18/from-data-production-to-client-handover

The common tedious problem is to build a data app to demonstrate the data analysis & analytics along with Machine Learning to a client. It was an attempt to do it on small scale in the most powerful & simplest way.

machine-learning matplotlib numpy pandas plotly python seaborn streamlit

Last synced: 30 Apr 2026

https://github.com/anujdutt9/language-model-using-rnn

Text Generation using basic RNN from scratch using Python and Numpy.

language-model numpy python rnn text-generation

Last synced: 08 May 2026

https://github.com/somyaaaaaa2004/travelling-sales-man-problem

This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial

genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem

Last synced: 06 May 2026

https://github.com/harmanveer-2546/prediction-of-ticket-cancellation

The objective is to develop a model that accurately predicts whether users will cancel their tickets. Each cancellation incurs a fine for the ticket registration site from the passenger company.

datetime evaluation gridsearchcv labelencoder numpy pandas standardscaler stratified-k-fold train-test-split xgboost-model

Last synced: 04 May 2026

https://github.com/hootbu/cyberpunk-filter-desing

This project aims to design filters with a cyberpunk aesthetic by performing low-level image manipulation in Python.

computer-vision image-manipulation matplotlib numpy python

Last synced: 08 May 2026

https://github.com/mrktsm/spam-email-recognizer

Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.

data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model

Last synced: 09 Apr 2026

https://github.com/anjasfedo/data-analysis

Repo to Explore Data Analysis

data-analysis numpy

Last synced: 13 Apr 2026

https://github.com/abhinav330/911-emergency-calls-analysis

This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.

data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python

Last synced: 09 Jun 2026

https://github.com/lucasgleria/seamese-network-algorithm

Este projeto implementa um sistema de busca por similaridade de imagens usando redes siamesas e Triplet Loss em PyTorch. Ele gera embeddings de imagens (MNIST com EfficientNet-B0) para encontrar visuais semelhantes. O foco está na análise visual e no aprendizado de representações no espaço vetorial.

google-colab matplotlib numpy pandas python pytorch timm

Last synced: 11 Apr 2026

https://github.com/nikhilsree5/netflixcasestudy

Global Content Strategy: Leveraging Data Insights to Optimize Netflix's International Growth

eda numpy pandas python visualization

Last synced: 13 Apr 2026

https://github.com/akansharajput280799/covid19-impact-analysis-usa

Data Analysis and Predictive Modeling to study COVID-19 impact across age groups, regions, and seasons in the USA.

classification-algorithm clustering-algorithm data-preprocessing data-visualization descriptive-statistics exploratory-data-analysis matplotlib numpy pandas seaborn

Last synced: 13 Apr 2026

https://github.com/aroojzahra908/machine-learning

This repository contains helpful guides and materials for easily understanding Pandas, NumPy, and Matplotlib libraries, which are essential tools for creating visual representations of data.

algorithms machine-learning-algorithms matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/nur-alam39/course-lab-experiments

The lab works: Code of academic courses-Digital Image Processing, Microprocessor, OOP, Numerical Analysis

cpp lab lex matplotlib numpy oop opencv python

Last synced: 13 Apr 2026

https://github.com/naveen88112/clustering_customer_invoice_data

Customer Invoice Data Clustering This project uses clustering methods on customer invoice data for segmentation analysis. It preprocesses data, normalizes features, and uses K-Means and DBSCAN to cluster customers according to spending habits and shared locations.

clustering data-preprocessing data-visualization numpy pandas python silhouette-score standardization

Last synced: 13 Apr 2026

https://github.com/mayankmittal29/algovision-statistical_methods_in_ai

Implementation of various machine learning algorithms from scratch, including Linear Regression, K-Nearest Neighbors, Decision Trees, and K-Means clustering. Also done EDA on data, Implemented LSH, IVF, SLIC algorithms also with evaluation metrics

decision-tree-classifier eda gradient-descent image-segmentation ivf knn-classification linear-regression lsh-implementation matplotlib-pyplot numpy pandas python3 seaborn sgd-optimizer sklearn slic-superpixel-algorithm

Last synced: 11 Apr 2026

https://github.com/hari7261/playwithdata-python

This is one of the repository where I have put lot of data science and machine learning related questions on their solutions I hope you will find something better than some other platforms. Thank you Happy exploring

data-analysis data-science data-science-learning machienlearning matplotlib matplotlib-python ml numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library python python-script sklearn

Last synced: 13 Apr 2026

https://github.com/kecnry/nparray

High-Level Wrappers for Building and Manipulating Numpy Arrays

numpy numpy-arrays python

Last synced: 08 Jan 2026

https://github.com/itshyphen/mass-mailing-script

A simple mass mailing script that sends personalized email to multiple emails importing from csv

numpy pandas python smtplib

Last synced: 13 Apr 2026

https://github.com/subhas-pramanik-09/car-detection-and-counting

This project counts the number of cars passing through a designated line in a video file using OpenCV and background subtraction techniques.

machine-learning numpy object-detection opencv

Last synced: 13 Apr 2026