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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/armahdavi/analytics-data-pipelines-statistics-plotting---dust-extraction-hvac-filters---phase-1

PhD Technical Paper 1 - Phase 1 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available

matplotlib numpy pandas pandas-dataframe pyplot python scipy-stats sklearn

Last synced: 13 Apr 2026

https://github.com/udacity-machinelearning-internship/support-vector-machine

Implementing SVM's using pandas and sklearn in python

numpy pandas sklearn support-vector-machines svm

Last synced: 13 Apr 2026

https://github.com/ahmed-maher77/diabetes-prediction-app-using-machine-learning

Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.

ai css data-science gradientboostinclassifier javascript logisticregression machine-learning matplotlib numpy pandas python randomforestclassifier seaborn streamlit supportvectormachine webdevelopment

Last synced: 11 Apr 2026

https://github.com/1adityakadam/uber_data_analytics

End to end Google Bigquery + Looker Studio Data Analytics Project Transforming NYC Taxi Data into Actionable Intelligence

bigquery looker-studio mage-ai-pipeline numpy pandas sql

Last synced: 13 Apr 2026

https://github.com/sadegh15khedry/housing-prices-prediction-using-randomforest

This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.

csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn

Last synced: 27 Feb 2025

https://github.com/yahiazakaria445/image-classification-using-vgg-16

computer vision model for 10 classes classification

matplotlib numpy opencv pandas sklearn tensorflow

Last synced: 12 Apr 2026

https://github.com/claby2/ascii-generator

Python program to convert images into ASCII art.

ascii numpy optparse pillow python

Last synced: 13 May 2026

https://github.com/hariprasath-v/av-job-a-thon-november-2022

Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.

exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting

Last synced: 12 Apr 2026

https://github.com/mstrlc/iss-project

FIT VUT – ISS – signal processing - synthesizing and resynthesizing of a MIDI keyboard

fit iss matplotlib numpy python scipy signal-processing vut

Last synced: 11 Mar 2025

https://github.com/thinker84/real-time-stock-price-prediction-and-market-analysis-using-machine-learning

Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.

data-science django lstm machine-learning numpy pandas pandas-datareader scikit-learn stock-market stock-price-prediction stooq streamlit yahoo-finance yahoo-finance-api

Last synced: 13 Jul 2025

https://github.com/anushkundu/crime-pattern-analysis

Analyzing Crime Patterns in Montgomery County, USA: An Inclusive Study Based on NIBRS Data (2016-2022)

data-analysis data-visualization descriptive-statistics matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/jcm-ai/robust-mlops-elevating-machine-learning-to-production-scale

This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.

aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml

Last synced: 09 Apr 2026

https://github.com/vasulab/knightshock

Shock tube experiment planning and data analysis package.

cantera data-analysis matplotlib numpy shock-tube

Last synced: 18 Jul 2025

https://github.com/djdhairya/crop-recommendation

Crop Recommendation System is a powerful tool for enhancing agricultural decision-making. By leveraging data-driven insights, it empowers farmers to maximize yield and ensure sustainable practices.

adaboostclassifier bagging-classifier csv decision-trees gaussian html knn-classification logistic-regression machine-learning machine-learning-algorithms matplotlib model numpy pandas random-forest random-forest-classifier scikit-learn seaborn svc

Last synced: 11 Apr 2026

https://github.com/abideen-olawuwo/gender-detection

Gender Detection app

cv cv2 numpy

Last synced: 14 May 2026

https://github.com/fabriziomusacchio/ann_with_numpy

A how-to for building an artificial neural network from scratch using NumPy

ann artificial-neural-networks neural-network numpy

Last synced: 08 May 2026

https://github.com/zuhairzia/titanic-survival-project

This is a Titanic Survival Prediction Model developed using Python, Pandas, Scikit-learn, and Jupyter Notebook. The model predicts whether a passenger survived the Titanic disaster based on features such as age, gender, and passenger class.

csv-dataset flask jupyter-notebook matplotlib numpy pandas pandas-library python scikit-learn seaborn streamlit

Last synced: 11 Apr 2026

https://github.com/marianoviola/reim

🕸️ A Computational Framework for Inferring System Truth from Distributed Noisy Observations

fastapi numpy pandas python3 scipy

Last synced: 11 Jun 2026

https://github.com/theadeelahmed/mall-customers-segmention

This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn

matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering

Last synced: 05 May 2026

https://github.com/hilalozdemirbuyukasik/deep-learning

A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.

bilstm cnn keras matplotlib nn numpy rnn scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/akashkg03/facial-expression-image-classification

This notebook involves to build a facial expression image classifier which categorizes facial expressions into one of seven emotions: anger, disgust, fear, happiness, sadness, surprise, and neutral.

jupiter-notebook numpy pandas python

Last synced: 28 Apr 2026

https://github.com/railab/nxscli-np

Nxscli extention with Numpy operations

numpy nxscli

Last synced: 21 Apr 2026

https://github.com/constraintautomaton/client_pgu1

The client part of the PgU1 project it. It command the robot and do the video processing

numpy opencv paramiko pyqt5 python3 raspberry-pi-3

Last synced: 12 Apr 2026

https://github.com/vedikasnehil/daily-leetcode-

Daily LeetCode Using Python is a project dedicated to solving coding challenges consistently using Python. It focuses on improving problem-solving skills, mastering Python techniques, and building a collection of clean, well-documented solutions. Perfect for interview preparation, learning algorithms, or daily coding practice!

matplotlib numpy pandas python python3 seaborn

Last synced: 13 Apr 2026

https://github.com/pramodyasahan/cifar-10-object-recognition

This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.

convolutional-neural-networks numpy python tensorflow

Last synced: 05 May 2026

https://github.com/aathira2001/python-basics

Basic Python concepts with examples

functions numpy pandas python variables

Last synced: 05 May 2026

https://github.com/muthupillai1204/diwali_sales_analysis

The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.

data datacleaning eda excel jupyter-notebook matlplotlib numpy pandas python seaborn visualization

Last synced: 05 May 2026

https://github.com/alisonmitchell/countries-of-the-world

Exploratory Data Analysis of US Government data from the World Factbook to investigate GDP ($ per capita), Literacy (%) and Phones (per 1000).

data-science machine-learning matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/legalaspro/rnn_gru_lstm_experiments

RNN, GRU, LSTM implementation using PyTorch and Numpy

gru ltsm numpy pytorch rnn

Last synced: 21 Apr 2026

https://github.com/tkc/node-neural-network

Built with only pure typescript, neural network iris sample.

javascript machine-learning neural-network node numpy typescript

Last synced: 09 Apr 2026

https://github.com/sahaninilesh/future_ds_01_social-media-sentiments-analysis

The Social Media Sentiments Analysis Dataset captures a vibrant tapestry of emotions, trends, and interactions across various social media platforms. This dataset provides a snapshot of user-generated content, encompassing text, timestamps, hashtags, countries, likes, and retweets. Each entry unveils unique stories—moments of surprise, excitement,

jupyter matplotlib numpy pandas python

Last synced: 05 May 2026

https://github.com/ayushdutta-ai/face-recognition-model

A custom face recognition model built from scratch using Python, OpenCV, Pillow, and Face libraries, utilizing LBPH for efficient facial feature extraction and accurate identification.

face haar-cascade lbph-face-recognizer numpy opencv pillow

Last synced: 05 May 2026

https://github.com/hansalemaos/a_pandas_ex_split_on_common_char

Splits the elements in a Series using a common separator character and returns a DataFrame.

numexpr numpy pandas separator split string

Last synced: 14 Jan 2026

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

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

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

Last synced: 05 May 2026

https://github.com/pardhuu66/college-id-validator

FastAPI-based offline College ID Validator with Docker support

base64 dnn docker easyocr fastapi mobilenetv2 numpy onnx onnxruntime opencv pillow pydantic python tensorflow uvicorn

Last synced: 11 Apr 2026

https://github.com/hansalemaos/hexarray2decimal

Converts a numpy string array with hex values to int

convert hex int numpy python

Last synced: 05 May 2026

https://github.com/fimbres/matplotlib-start

A crash project with the most important matplotlib functions and methods, used in data science, AI and machine learning.

data-science matplotlib matplotlib-pyplot numpy pandas python python-script

Last synced: 13 Apr 2026

https://github.com/akashash01/support_vector_machine

It's an linear model for classification and regression problems. It can solve non-linear problems by creating a hyperplane which separates the data into classes using KERNAL .

data-science datavisualization machine-learning numpy pandas python sklearn svm-classifier

Last synced: 13 Apr 2026

https://github.com/vishnu-vamshii/heart-disease-prediction-using-ml

This project presents an end-to-end data analysis and machine learning pipeline for predicting heart disease using a publicly available dataset. The project includes data exploration, visualization, and implementation of various machine learning models to predict the likelihood of heart disease based on a set of clinical attributes.

machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/farhad-here/height-distribution-analysis

Statistical comparison of height distributions in two groups using mean, standard deviation, and boxplots.

coefficient-of-variation data-analysis interquartile-ranges matplotlib mean numpy python scipy standard-deviation variance

Last synced: 13 Apr 2026

https://github.com/minhtungonep/android-traffic-analysis

Android malware detection project analyzing network traffic patterns in a telecommunications context. Uses statistical hypothesis testing and data visualization to evaluate traffic features like DNS query times, TCP packets, and volume bytes for distinguishing between benign and malicious Android applications.

android-library bachelor-project bachelor-thesis cybersecurity cyface data-visualization hypothesis-testing malware-detection matplotlib network-traffic numpy pandas python scipy sdk statistical-analysis telecommunications voip-security

Last synced: 09 May 2026

https://github.com/swatisinghit/treadmill-customer-profiling-for-aerofit

Create comprehensive customer profiles for each AeroFit treadmill product through descriptive analytics. Develop two-way contingency tables and analyze conditional and marginal probabilities to discern customer characteristics, facilitating improved product recommendations and informed business decisions.

analytics conditional-probability data-analysis data-science data-visualization eda numpy pandas probability statistics

Last synced: 08 May 2026

https://github.com/sducournau/ign_lidar_hd_dataset

🏗️ Comprehensive Python library for processing IGN LiDAR HD data into machine learning-ready datasets for Building Level of Detail (LOD) classification. Features GPU/CPU processing, smart data management, and complete ML pipeline integration.

building-classification data-processing dataset france geospatial gis ign lidar lidar-hd numpy point-cloud scikit-learn

Last synced: 20 Jan 2026

https://github.com/ashishgoswami13/handgesture_recognition

Real-time hand gesture recognition using computer vision and deep learning. Collect gesture images, train a model with Google Teachable Machine, and classify gestures live for applications like drone control or human-computer interaction.

computer-vision cvzone handgesture-recognition keras numpy python teachable-machine

Last synced: 18 Apr 2026

https://github.com/lilivalgo/ml_time_series

This project uses time series data to predict corn crop yield in Colombia

matplotlib numpy pandas scipy seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/christabelsakyi/product_purchase_prediction

As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.

machine-learning matplotlib-pyplot numpy python seaborn sklearn

Last synced: 08 May 2026

https://github.com/umer-farooq-cs/california-housing-regression

Linear Regression experiments on the California Housing dataset across five phases, using NumPy and scikit-learn only (no pandas). Includes EDA, polynomial features, SGD with scaling, residuals, 5-fold CV, and an LNCS-style report with figures.

california-housing cross-validation deep-learning-for-perception linear-regression numpy polynomial-features reproducible-research residual-analysis sgd sklearn

Last synced: 09 May 2026

https://github.com/ricardorobledo/malicious_server_hack_detection

Predictive model to detect malicious hacking patterns in banking servers. Utilizes advanced Machine Learning techniques such as SMOTE, Gradient Boosting, and probability calibration to predict attacks befor

anaconda cibersecurity imbalanced-data imbalanced-learning imblearn kaggle matplotlib numpy pandas pandas-library python3 sklearn

Last synced: 14 Apr 2026

https://github.com/audy21/datacamp

Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.

data-analysis data-science machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/pnguyen215/pycelize

Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.

excel lib numpy openpyxl pandas py-app pycelize python-service python3

Last synced: 17 Jun 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/germanocastanho/python-notes

Personal collection of Python Notes, tips, and code snippets 🐍

data-science numpy pandas programming python

Last synced: 01 Sep 2025

https://github.com/jsnevt/regressao_logistica

Cálculos de probabilidades sobre uma eleição

matplotlib numpy pandas-dataframe python

Last synced: 11 May 2026

https://github.com/armahdavi/mlops

Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.

apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost

Last synced: 12 Apr 2026

https://github.com/tigureis/aula_deployment

This project not only demonstrates a machine learning pipeline but also serves as a template for deploying models into production. By leveraging the project's structure and code, you can streamline the process of deploying your own machine learning models.

numpy pandas pickle sklearn

Last synced: 11 Apr 2026

https://github.com/davityak03/object-detection-in-images-using-yolo

This project demonstrates object detection using the YOLO (You Only Look Once) model, providing a solution for detecting and labeling multiple objects within images or video streams. This implementation covers image preprocessing, model inference, and visualization of detected objects.

computer-vision matplotlib-pyplot numpy object-detection opencv-python pandas python yolo

Last synced: 18 Jan 2026

https://github.com/harshavardh8n/machine-learning-projects

Machine Learning Projects: A collection of machine learning projects developed as part of the curriculum, utilizing libraries such as NumPy, Pandas, Seaborn, and Matplotlib. These projects demonstrate various algorithms, including Apriori and Decision Trees, showcasing practical applications and data analysis techniques.

apriori-algorithm decision-trees jupyter-notebook machine-learning numpy pandas python

Last synced: 18 Jan 2026

https://github.com/emhash/machine-learning-and-ai

Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.

ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow

Last synced: 05 Jan 2026

https://github.com/isk-daniar/signal-filter-plt

Signal filter PLT

numpy pillow python

Last synced: 18 Apr 2026

https://github.com/eshansugeesh/fico-score-loan-default-modeling-project

Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.

bucketing classification credit-risk customer-segmentation data-science discretization fico-score financial-analytics loan-analysis loan-default log-likelihood machine-learning numpy pandas predictive-modeling risk-modeling scikit-learn segmentation statistical-modelling

Last synced: 06 May 2026

https://github.com/nikhleshshukla123/web-scraping-using-python

scrapes multiple pages of Amazon search results using python.

beautifulsoup4 numpy pandas python

Last synced: 03 May 2026

https://github.com/yappy2000d/pps-ndarray

Multi-dimensional array implementation

cpp numpy

Last synced: 18 Jan 2026

https://github.com/mani-prakash-n-r/book_recommendation_system_using_hybrid_technique

The Book Recommendation System uses collaborative and content filtering techniques to suggest books based on user preferences and content similarity.

csv html numpy pandas python sckiit-learn

Last synced: 09 Apr 2026

https://github.com/anselmoo/useful-math-functions

useful-math-functions for Optimization, Benchmarking, Visualizing, and more ...

basic functions math mathematics numpy

Last synced: 17 Mar 2025

https://github.com/mogankumar/covid-19-classification

A deep learning-based project that classifies chest X-ray images into Normal, COVID-19, and Viral Pneumonia using a two-layer CNN architecture. Achieves high accuracy and demonstrates potential for aiding in early diagnosis and treatment of COVID-19.

keras-tensorflow matplotlib numpy python3

Last synced: 11 May 2026

https://github.com/themysterysolver/python_basics

"This repo includes simple Python programs for beginners, covering various concepts, object-oriented programming, and different module usages, to help with understanding and learning Python."

basic-python-syntax collections dsa matplotlib numpy oops-in-python pandas python re scipy

Last synced: 05 Apr 2026

https://github.com/amardeepsingh-06/smart_attendance_system

The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.

asgiref django mysql numpy opencv pillow-library python sqlparse

Last synced: 05 Apr 2026

https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression

Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.

deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 05 Apr 2026

https://github.com/prajakta1321/authencheck

Amdocs Gen AI Graduate Hackathon 2024-25- A comprehensive fact-checking and misinformation detection system that leverages cutting-edge AI models and multiple news sources to verify information circulating on social media

api bert-fine-tuning flask-application matplotlib ngrok-server nlp nlp-machine-learning numpy pandas python3 scikit-learn seaborn wandb

Last synced: 05 Apr 2026

https://github.com/offthetab/statistics_homework

Практические работы по статистике МИРЭА 3 курс.

numpy pandas python statsmodels

Last synced: 05 Apr 2026

https://github.com/abolfazl-younesi/levy-walk

This repository contains a Python implementation of the Lévy Walk simulation, a random walk model with a power-law step length distribution. The code simulates multiple walkers with boundary conditions and visualizes their trajectories for different values of the power-law exponent.

levy-walks matplotlib numpy python random-walk

Last synced: 02 May 2026

https://github.com/tigureis/data-preparation-from-kickstarter-campaigns

Kickstarter Data Prep: A hands-on guide to basic data cleaning and transformation.

data-cleaning data-construction data-integration data-science data-selection numpy pandas

Last synced: 19 Apr 2026

https://github.com/ondiekelijah/data-analysis-udacity

Udacity Data Analysis Nano Degree course resources

jupyter-notebook matplotlib numpy pandas python

Last synced: 17 Mar 2025

https://github.com/clchinkc/zombie

Personal project, Python, NumPy, Matplotlib, Pygame, Scikit-learn, TensorFlow, Docker

algorithms data-analysis docker machine-learning matplotlib numpy pygame python sklearn tensorflow zombie-simulation

Last synced: 05 Apr 2026

https://github.com/iv4n-ga6l/simple-image-segmentation

Simple implementation of image segmentation using the Watershed algorithm

imagesegmentation matplotlib numpy opencv python watershed-algorithm

Last synced: 13 May 2026

NumPy Awesome Lists
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