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/dilipgjadhav/cs_encryption_decryption_project

🔐 Secure Data Hiding in Images using Steganography | AICTE & IBM SkillsBuild Internship Project. This Python-based tool hides secret messages in images using OpenCV & PyQt6, with password-protected decryption. Secure, user-friendly & efficient for cybersecurity. Future scope: multi-format support, AES encryption & web/mobile integration.

cyrptography data-hiding image-encryption image-processing numpy opencv pyqt5-gui python-project python-security secure-communication steganography

Last synced: 06 May 2026

https://github.com/lintangwisesa/flask_sklearn_californiahouse

Simple Flask App with Linear Regression model to predict California house pricing 🏠

california-house-pricing flask linear-regression machine-learning numpy pandas sklearn

Last synced: 12 Apr 2026

https://github.com/dmarks84/coursework_project_boston-data-project

Project for IBM Data Science course on Statistics -- Read in a large data set and performed several statistical analyses and hypothesis testing

communication data-modeling data-reporting dataframes eda hypothesis-testing matplotlib numpy pandas probability python scipy seaborn statistics visualization

Last synced: 08 Apr 2026

https://github.com/seymencanates/pythonn

Here is my all personal educations , notes , basic apps I did. Here will be my backside for all supportive information about python I am gonna need.

django flask numpy pandas python3 scikitlearn-machine-learning tensorflow tkinter

Last synced: 08 Apr 2026

https://github.com/shreyavats23/sign_language_recognition

Sign Language Recognition using Deep Learning : ~ Built a model to recognize American Sign Language (ASL) for letters A–Z and digits 1–9 ~ Achieved ~89% validation accuracy using a Convolutional Neural Network (CNN) ~ Used data augmentation techniques to improve generalization ~ Visualized predictions to test the model on real samples

artificial-intelligence keras machine-learning matplotlib numpy python pytorch seaborn sklearn tensorflow

Last synced: 08 Apr 2026

https://github.com/satyacoder29/crm-analytics

CRM Analytics Dashboard – An interactive dashboard using Tableau, SQL, and Salesforce CRM Analytics (CRMA) to analyze sales performance, customer segmentation, and churn prediction. Features automated ETL pipelines, predictive analytics, and real-time insights for data-driven decision-making. 🚀📊

advanced-excel data-analysis data-cleaning data-collection data-transformation data-visualization matplotlib numpy pandas powerbi python seaborn sql tableau

Last synced: 03 Mar 2025

https://github.com/vuanhtuan1012/data-scientist-with-python

Notes on career track "Data Scientist with Python" at DataCamp

importing-data matlab numpy pandas python3 sqlalchemy

Last synced: 09 Apr 2026

https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding

Course assignment for Algorithm and Massive Datasets comparing SAD and SSD for motion estimation. Includes analysis of accuracy, speed (Python/NumPy), and error sensitivity. Highlights trade-offs for speed-critical vs. precision-focused applications.

l1-normalization l2-norm numpy pytho video-cod

Last synced: 04 Apr 2025

https://github.com/heyitsjoealongi/fantasy-football-qbwr-model

Fantasy Football: Quarterback / Wide Receiver - Gaussian Process Regression (GPR) Machine Learning Model

machine-learning matplotlib model numpy python scikit-learn

Last synced: 01 Apr 2025

https://github.com/sarthakm402/rabbi

A Ml library that can be used ot clean,and use models to predict on data

numpy optuna pandas pypi-package python sklearn

Last synced: 20 Apr 2026

https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023

Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.

binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap

Last synced: 08 Apr 2026

https://github.com/nour-zayed/face-recogntion

This project implements a real-time face recognition system using Computer Vision and Deep Learning. The system is capable of detecting and recognizing faces in real-time using a webcam, as well as from images and video files. The project leverages OpenCV, dlib, and the face_recognition library to accurately detect, encode, and identify faces.

database dlib face-recognition numpy opencv python

Last synced: 05 May 2026

https://github.com/matheusotenio/catdog_imageclassifier

Classificar imagens de gatos e cães, utilizando um conjunto de dados misto.

deep-learning freecodecamp-project ipynb machine-learning matplotlib numpy tensorflow

Last synced: 29 Nov 2025

https://github.com/priyanshulathi/cancer-diagnosis-prediction-model

A Machine Learning project to predict cancer malignancy using K-Nearest Neighbor, Support Vector Machine, and Decision Tree algorithms.

machine-learning numpy pandas python scikit-learn

Last synced: 03 Jan 2026

https://github.com/barraharrison/seoul-bike-sharing

Performing EDA on a kaggle dataset to look at the distribution of Seoul's bike-sharing system

jupyterlab matplotlib numpy pandas python scikit-learn seaborn

Last synced: 23 Jul 2025

https://github.com/itskoushik/eyecue-intellisense

A project related to Smart Intellisense mouse controller which can be controlled by Eye tracking and hand gestures

cv2 machine-learning mediapipe numpy pynput

Last synced: 15 Apr 2026

https://github.com/alphacrypto246/insurance-charges-prediction

The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and R².

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 03 May 2026

https://github.com/adamouization/superconductors-critical-temperature-predictions-regression

:chart_with_upwards_trend: Machine Learning & Data Visualisation/Processing techniques for predicting the critical temperatures required for different superconductors to conduct electrical current with no resistance.

jupyter jupyter-lab jupyter-notebook machine-learning matplotlib matplotlib-pyplot numpy pandas prediction python python-3 regression regression-algorithms scikit-learn scikitlearn-machine-learning scipy

Last synced: 12 Apr 2026

https://github.com/laurobmb/data_analise

Analise quantitativo de números de processos judiciais existentes no Nordeste brasileiro

data-science matplot numpy python python3

Last synced: 15 May 2026

https://github.com/elijah-1994/modelling-airbnbs-property-listing-dataset

Training and Evaluating classification and regression model use cases on the Airbnb dataset.

data-science machine-learning numpy pandas plotly python pytorch sklearn

Last synced: 10 Apr 2026

https://github.com/harinisri012/plant-leaf-disease-detection-system

A deep learning project to detect and classify plant leaf diseases using CNN and VGG16 models. This system aids in early disease identification to support agricultural sustainability by helping farmers protect crops.

cnn cv keras keras-tensorflow neural-networks numpy vgg16

Last synced: 20 Jan 2026

https://github.com/yashpandey1405/numpy-assignment-solution

This repository contains solutions to all questions from the NumPy Assignment, organized for clarity and easy navigation. 🚀

jupyter-notebook numpy python

Last synced: 29 Apr 2026

https://github.com/ronakbediya310/campus-placement-project

This Flask web application leverages machine learning models to predict campus placements based on user-provided input. It provides an intuitive and user-friendly interface for users to input relevant features, such as academic performance, gender, work experience, and more. The application then processes these inputs through a trained algorithms

flask machine-learning numpy pandas python3 sklearn webapp

Last synced: 10 Apr 2026

https://github.com/ashkarin/rawimage

Read and write RAW images (or data arrays) without a headache.

image-processing imagej ndarray numpy raw-data raw-image readers writers

Last synced: 28 Apr 2026

https://github.com/hrolive/deep-learning-nanodegree

As one of the top 3% students from the first phase, "PyTorch Scholarship Challenge" by Facebook AI, I have earned a full scholarship to Udacity’s Deep Learning Nanodegree program

api-gateway aws aws-lambda aws-sagemaker computer-vision convolutional-neural-networks deep-learning deployment machine-learning natural-language-processing numpy pandas python pytorch scikit-learn

Last synced: 12 Apr 2026

https://github.com/nas-research/knowledge-model

Our knowledge system systematically ingests, processes, and indexes open-access life science publications. It supports internal research by providing precise question-answering and efficient retrieval from a continuously updated repository of scientific literature

accelerate aws boto3 dataingestion keras lifesciences llama llama3 llm numpy pymupdf pytorch researchsupport sqlalchemy tensorflow textextraction

Last synced: 10 Apr 2026

https://github.com/aniket2021448/fakenewspredictionapp

The web app uses logistic regression on a dataset of 20,000 news articles, achieving 96% accuracy. It employs NLTK for text preprocessing and TF-IDF for feature extraction.

huggingface ml news nltk-python numpy pandas-python streamlit-webapp transformers-models

Last synced: 24 Jun 2026

https://github.com/dmarks84/ind_project_superstore-sales-time-series-analysis--kaggle

Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2.

chloropleth data-modeling data-visualization eda linear-regression matplotlib numpy pandas python seaborn sklearn statistics statsmodels supervised-ml time-series-analysis

Last synced: 09 Apr 2026

https://github.com/rusenaite/frame-quality-clustering

Python application that processes video files to extract frames and analyze their quality using blur detection and clustering techniques.

numpy opencv python sklearn

Last synced: 11 Apr 2026

https://github.com/ramanpreet6262/ml_internity

Repository of code implimentations of various machine learning algorithms in my Internity Internship.

matplotlib numpy pandas python scikit-learn

Last synced: 06 Apr 2026

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

Repository on private project concerning Deep Learning through multilevel neural networks

keras numpy pillow python python-3-5 scikit-image scikit-learn scipy tensorflow tensorflow-examples tkinter tkinter-graphic-interface

Last synced: 02 Apr 2026

https://github.com/bassemhalim/webrtc-demo

webrtc demo using aiortc library

numpy opencv python3 webrtc

Last synced: 09 Apr 2026

https://github.com/harsha-yuvaraj/data-compression-and-decompression-tool

A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.

data-structures huffman-compression-algorithm lossless-compression-algorithm numpy python tkinter

Last synced: 15 Apr 2026

https://github.com/eljandoubi/disasterresponsepipeline

Project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.

flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy

Last synced: 09 Apr 2026

https://github.com/armahdavi/analytics_statistics_ML_plotting_dust_extraction_hvac_filters_ph2

PhD Technical Paper 1 - Phase 2 - 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

data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics

Last synced: 17 Sep 2025

https://github.com/armahdavi/data_pipeline_analytics_statistics_ML_PM_PSD_residential_QFF

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 17 Sep 2025

https://github.com/azaz9026/house_price_prediction_with_machine_learning

🏡 House Price Prediction with Machine Learning Project 🤖💰 Seeking to revolutionize the real estate industry with cutting-edge technology? Explore my latest project, where I leveraged machine learning algorithms to predict house prices accurately.

linear-regression machine-learning-algorithms metaploit numpy pandas pickle python seaborn visualization

Last synced: 12 Apr 2026

https://github.com/hariprasath-v/av_job-a-thon-june-2022

Machine learning model to predict if the user would buy the product in the next 3 months or not.

matplotlib numpy pandas pycaret python seaborn sklearn

Last synced: 20 Apr 2026

https://github.com/abeertechcamus/documentdata

The dataset was cleaned and queried using Python inside Jupyter Notebook and visualizes using PowerBI Document Data Analysis Projects

dax jupyter-notebook numpy pandas powerbi python

Last synced: 04 May 2026

https://github.com/hariprasath-v/hackerearth_get-a-room-ml-hackathon

Build a Machine Learning model to identify the habitability score of the property based on the property's basic information and location-based information.

exploratory-data-analysis machine-learning numpy pandas pycaret python randomforestregressor regression scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_02

Модуль 2. Знайомство з Pandas, Аналіз файлів, Аналіз датасет c Kaggle.com.  Python Data Science. Homework.

datascience google-colab homework jupyter-nootebook matplotlib numpy numpy-arrays pandas python seaborn seaborn-plots

Last synced: 17 Apr 2026

https://github.com/dakshsammi/arkaid

Arkaid is a game performance analytics platform developed for the Information Integration Architecture Course - CSE656 (IIIT Delhi). It uses a data warehouse approach to analyze gaming data from multiple sources and provides insights via an AI-driven interface.

ai airflow aws database-management datawarehouse docker etl flask information-integration numpy openai postgresql python togetherai

Last synced: 09 Apr 2026

https://github.com/harmanveer-2546/campus-placement-prediction

Student Campus-Placement Prediction ML Project using Python

decision-trees machine-learning matplotlib numpy python random-forest scipy seaborn

Last synced: 08 Mar 2026

https://github.com/roluochke/real-estate-price-prediction-app

This is a data science project for a real estate price prediction website.

flask html-css-javascript jupyter-notebook matplotlib numpy python sklearn

Last synced: 09 Apr 2026

https://github.com/hariprasath-v/zindi_umojahack-india-income-prediction-challenge

Create a machine learning model to predict whether an individual earns above 50,000 in a specific currency or not.

catboost-classifier classification exploratory-data-analysis f1-score matplotlib numpy pandas python scikit-learn seaborn shap zindi

Last synced: 13 Apr 2026

https://github.com/dsowles/miniproject1davidsowles2025

INF601 Mini Project 1

numpy yfinance

Last synced: 16 May 2026

https://github.com/riyajain255/customer-segmentation-for-e-commerce

This project analyzes online retail data to segment customers using K-Means clustering and build classification models to predict those segments based on purchasing behavior.

customer-segmentation data-analysis kmeans-clustering logistic-regression machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn-plots

Last synced: 02 Apr 2026

https://github.com/abyshergill/ultralytics_yolo_object_detection_testing_gui

This is a desktop application for real-time object detection using the YOLO (You Only Look Once) model build with ultralytics libarary. It's built with PyQt5 for the graphical user interface and OpenCV for video and image processing. The application allows users to load a YOLO model, adjust detection settings, and perform object detection on media.

numpy opencv-python pytorch qt5-gui threading ultralytics yolo

Last synced: 08 May 2026

https://github.com/prachi005748/website-performance-data-analysis-project

Briefly describe the objective of the project—e.g., analyzing website performance metrics over time, uncovering trends in user engagement, or evaluating channel-wise traffic quality.

data-analyst data-cleaning data-preprocessing data-visualization data-visualization-python exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn storytelling

Last synced: 01 May 2026

https://github.com/samiksha29-patil/e-commerce-sales-insights-dashboard

This project focuses on analyzing e-commerce sales data through data visualization. It highlights customer behavior, popular sales channels, product category trends, and city-wise performance to provide actionable business insights.

analytics customer-insights data-visualization ecommerce matplotlib numpy pandas python sales-analysis seaborn

Last synced: 03 May 2026

https://github.com/princeoncada/quant-pca-risk

Applies Principal Component Analysis (PCA) to daily returns of 20 US equities (2015–2025) to uncover hidden risk factors. Explores variance explained, scree, loadings, factor returns, covariance reconstruction, and Varimax rotation. Results show 3–5 PCs capture ~75% of portfolio risk.

correlation-analysis covariance-matrix dimensionality-reduction factor-models matplotlib numpy pandas pca portfolio-risk principal-component-analysis python quantitative-finance time-series-analysis variance varimax

Last synced: 06 May 2026

https://github.com/kushalagarwalla/netflix-movie-data-analysis

🚀 Netflix Data Analytics Project 🎬📊 | Analyzed 9K+ movies to uncover insights on genres, popularity, votes & release trends. Includes EDA, KPIs & visualizations using Python (Pandas, NumPy, Matplotlib, Seaborn). Supports data-driven content & engagement strategy.

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

Last synced: 06 May 2026

https://github.com/samiksha29-patil/flipkart-mobiles-data-analysis-visualization-in-python

This project analyzes Flipkart Mobiles Dataset to extract useful insights about mobile phones, their pricing, ratings, discounts, and customer reviews. The analysis and visualization are done using Python to understand market trends and customer preferences.

data-analysis data-visualization matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/makcoder-2004/exploratory-data-analysis-projects

This repository features Exploratory Data Analysis (EDA) projects using Python, Pandas, NumPy, Matplotlib, and Seaborn to clean, explore, and visualize data. The goal is to uncover patterns, trends, and insights through statistical analysis and clear visualizations, preparing datasets for deeper analysis or modeling.

csv-files dataframes jyputer-notebook matplotlib numpy pandas seaborn

Last synced: 07 May 2026

https://github.com/kandil2001/lid-cavity-evolution

Lid Cavity Evolution is an open-source CFD suite for the lid-driven cavity problem, featuring MATLAB, Python, and parallel solvers with benchmark comparisons.

benchmarking cfd cfd-simulation lid-driven-cavity matlab mpi numpy open-source openfoam openmp parallel-computing python scientific-computing simple-algorithm star-ccm

Last synced: 06 May 2026

https://github.com/4ngelojr/ai-ml-cheatsheets

🗂️ Access essential AI and ML concepts with quick-reference cheatsheets for effective learning and project implementation.

bigdata cheatsheet computer-science convolutional-neural-networks data-science deep-learning dl excel hadoop keras linux neural-networks numpy pig plotly probability sql statistics

Last synced: 01 May 2026

https://github.com/labex-labs/numpy-for-beginners

This comprehensive course covers the fundamental concepts and practical techniques of NumPy, the essential library for numerical computing in Python. Learn to create, manipulate, and analyze arrays efficiently.

array-manipulation array-slicing beginner-friendly course data-analysis data-science data-structures fast-computation hands-on labex labs linear-algebra matrix-operations numerical-computing numpy programming python python-programming scientific-computing vectorized-operations

Last synced: 20 Jun 2026

https://github.com/vitor-ace/sunspots-data-analysis

This is a Jupyter Notebook which works with Data Analysis logic and libraries implementation with Python.

data-analysis data-visualization debbuging error-handling file-handling matplotlib-pyplot numpy pandas python

Last synced: 06 May 2026

https://github.com/jaketherealone/machinelearningtoolset

Collection of primary tools used in the field of machine learning - Written for numpy projects

machine-learning numpy python toolset

Last synced: 19 Jun 2026

https://github.com/rohanbanerjee1234567-cell/prediction-of-expected-salary-using-machine-learning

Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.

exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization

Last synced: 27 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/radithsandeepa/robot-path-visualizer

Welcome to Robot Path Visualizer! This tiny project uses Python, Pygame, and NumPy to replay a precomputed trajectory (x, y, θ). It rotates a robot sprite frame-by-frame and draws a trail, making it handy for diff-drive path playback, simulation demos, and quick visual debugging of robotics experiments.

animation numpy pygame python robot-simulation robotics trajectory-visualization

Last synced: 18 Sep 2025

https://github.com/shotadft/vecposlib

This is a library that enables vector calculations in Python.

math math-library numpy python python-lib python-library python3

Last synced: 18 Sep 2025

https://github.com/eoastafurov/numpy-neural-net

Simple and extendable library for deep learning in numpy

deep-learning mlp-classifier numpy

Last synced: 02 Mar 2025

https://github.com/amnydv17/audio-analysis-and-classification

This project demonstrates how to analyse the audio datasets and apply the existing Machine learning/Deep Learning techniques to the classify various environmental sounds...

jupyter-notebook matplotlib numpy pandas

Last synced: 08 May 2026

https://github.com/abhishek-patidar066/synthetic-datasets

Synthetic datasets are artificially generated data used for training machine learning models, simulating real-world data while ensuring privacy.

clustering datasets jupyter-notebook libraries matplotlib-pyplot numpy pandas-dataframe python random sklearn

Last synced: 15 Apr 2026

https://github.com/ferdos-coder/instacartmarketbasketanalysisportflio

a repository for statistical and visual analyses utilizing tools like Pandas, NumPy, SQL, and Power BI using InstaCart Market Basket Data

jupyter-notebook machine-learning numpy pandas python statistics

Last synced: 01 May 2026

https://github.com/crvargasm/metnumun2021i

Universidad Nacional de Colombia - Métodos Numéricos ~ Grupo 1 2021-I

matplotlib numerical-analysis numpy pandas python quantopian

Last synced: 12 Apr 2026

https://github.com/anushkapal28/maatri-care

MaatriCare is an AI-based healthcare application designed to provide personalized nutrition advice and maternal care recommendations for pregnant women, lactating mothers, and women in general.

gemini-api jupyter-notebook labelencoder numpy pandas python3 random-forest streamlit svm-training

Last synced: 18 Sep 2025

https://github.com/akash-207/ecommerce-monetization-analysis

“Revenue and monetization analysis of Brazilian e-commerce data (Olist dataset). Includes KPIs, trends, and business insights.”

business-analytics matplotlib mysql numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/noxs1d/cv-emotion-classification

This project is a deep learning-based system for detecting human emotions from facial images using TensorFlow, OpenCV, and NumPy.

cnn cnn-classification dockerfile keras numpy opencv tensorflow transfer-learning

Last synced: 09 Apr 2026

https://github.com/kylehperez/mushroomnet

This API is for research purposes ONLY and is NOT to be used for food-safety or medical advice. Mushroomnet is a machine learning neural network for classifying mushrooms as poisonous or edible. The model was trained on data from uni.edu: over 5,000 instances of mushrooms, with 22 qualitative features and a determination of poisonous or edible.

artificial-intelligence botany flask-api machine-learning mycology neural-network numpy python3 pytorch scikit-learn

Last synced: 09 Apr 2026

https://github.com/spacebakery/crunchie-munchies-project

Analyze Data with Pyhton

numpy python statistics

Last synced: 27 Jul 2025

https://github.com/abhinav330/credit-score-classification-problem

This project aims to analyze credit card customer data, clean the dataset using libraries such as Pandas and NumPy then create a machine learning model using sklearn

credit-card credit-card-fraud credit-card-fraud-detection credit-risk credit-scoring data-science machinelearning numpy pandas python sklearn

Last synced: 08 Sep 2025

https://github.com/kelvynamaral/rolling-stones-spotify-eda

Análise Exploratória de Dados dos Rolling Stones no Spotify Projeto de EDA focado nas músicas e álbuns dos Rolling Stones no Spotify. Explora características musicais, popularidade e evolução da banda ao longo do tempo. Utiliza técnicas de análise de dados e visualizações para revelar insights sobre a discografia da icônica banda de rock.

matplotlib numpy pandas seaborn

Last synced: 15 May 2026

https://github.com/fandreuz/python-serialization-benchmark

Low-effort benchmark of several serialization libraries for scientific applications

avro json numpy protobuf python serialization

Last synced: 12 Apr 2026

https://github.com/elam-parithi/singapore_flatprice_predicting

Flat price prediction with Machine learning tools and python.

matplotlib numpy pandas scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/abdelrahman-amen/face_recognition

This project implements a real-time face recognition system using Python, OpenCV, and the face_recognition library. It identifies individuals by comparing facial features from live video streams with pre-stored encodings, enabling fast and accurate recognition.

cmake cv2 dlib-face-detection face-recognition numpy opencv os python

Last synced: 10 May 2026

https://github.com/jovicdev97/Financial-Loan-DataScience-Notebook

using numpy and pandas to analyze a synthetic loan dataset with python

data-analysis matlabplot numpy pandas plotting python seaborn

Last synced: 12 Mar 2025

https://github.com/jain1shh/solar-flare-prediction

This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.

data-visualization machine-learning numpy pandas python scikit-learn solar-flare-prediction

Last synced: 09 Apr 2026

https://github.com/dhavltharkaaar/portfolioprojects

This Repository contains the project related to my portfolio

css flask flask-api html5 idle jupyter-notebook matplotlib numpy pandas python python3 sklearn spyder

Last synced: 06 Apr 2026

https://github.com/mayankmittal29/tensortinker_statistical_methods_in_ai

This repository contains implementations of various machine learning algorithms from scratch, including Multi-Layer Perceptron (MLP), Gaussian Mixture Models (GMM), Principal Component Analysis (PCA), Autoencoders, and Variational Autoencoders.

autoencoder-mnist cupy gmm-clustering image-segmentation matplotlib-pyplot mlp-classifier mlp-regressor mnist-dataset numpy pandas pca python3 pytorch roc-auc seaborn torch variational-autoencoder

Last synced: 09 Apr 2026