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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/abdullah2020/hamoye_stageb

This is my Hamoye Stage B project. The project focuses on Predicting Energy Efficiency of Buildings. It implemented different Machine Learning algorithm technique that are not limited to Linear Regression, LASSO, Ridge etc.

eda lasso-regression linear-regression numpy pandas predictive-modeling regression-models ridge-regression rmse rsquare-values

Last synced: 09 May 2026

https://github.com/sanjurajveer/market_basket_analysis

Finding pattern of bought objects through market basket analysis

apriori-algorithm association-rules numpy pandas python seaborn

Last synced: 09 May 2026

https://github.com/grachale/convolution_image

The implementation of a function that takes an image (RGB or gray one) and a filter (kernel) and applies a convolution between them.

convolution image-processing numpy python

Last synced: 03 May 2026

https://github.com/kostadinlambov/algorithmic-trading-bot

The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).

lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost

Last synced: 05 Apr 2026

https://github.com/akashparley/ipl-data-analysis

The IPL Data Analysis project focuses on extracting valuable insights from IPL match data using various data analytics techniques. By analyzing historical match outcomes, player performances, team comparisons, and venue statistics, the project visualizes trends and patterns through graphs like bar charts, line graphs, and scatter plots.

analytics data-visualization excel metplotlib numpy pandas python seaborn tableau-dashboards

Last synced: 04 May 2026

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

🌐 Analyze website performance data to gain insights on user engagement, traffic trends, and optimize your digital presence effectively.

analysis analytics dashboard data-analyst data-collection data-preprocessing data-visualization dax funnel-analysis jupyter-notebook matplotlib mysql numpy paid-search power-query project-management python storytelling

Last synced: 04 May 2026

https://github.com/yareva/linear-regression-predictor

Linear Regression Predictor Model

matplotlib numpy pandas python sckit-learn

Last synced: 04 May 2026

https://github.com/dr-rompecabezas/medical-data-visualizer

[freeCodeCamp] Medical Data Viz Jupyter Notebook built with Matplotlib and Seaborn

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/aymanmomin/facebook-ego-network-analysis-for-political-outreach-optimization

Analyzing Facebook ego networks to identify influential users and communities for optimizing political advertising. Leverages network science techniques (Louvain communities, centrality metrics, threshold models) to simulate influence spread.

community-detection course-project facebook-network-analysis louvain-algorithm louvain-community-detection matplotlib network-analysis network-graphs networkx-library numpy pandas python3 pyvisgraph research-paper scipy-stats sklearn-metrics tqdm

Last synced: 04 May 2026

https://github.com/pomxark/smartdictor_0.1_nuitka_cleer

Распознание и озвучивание голосовым движком текста с экрана.

cv2 fuzzywuzzy kivy matplotlib-pyplot nuitka numpy pil pyautogui pyqt5 pytesseract pyttsx3 scipy silero simpleaudio torch

Last synced: 04 May 2026

https://github.com/carol-neto/sprint-4-statistical-data-analysis

In this project I had the opportunity to test my knowledge by analyzing a phone plan and creating graphs to compare the plans and determine which ones generate the most revenue.

matplotlib-pyplot numpy pandas pytho scipy-stats seaborn statistical-analysis

Last synced: 09 May 2026

https://github.com/timothyjan/intro-machine-learning-polynomial-regression

We use NumPy to implement vectorized linear and polynomial regression models and compare their performance using separate training and test sets.

numpy

Last synced: 04 May 2026

https://github.com/dineshdhamodharan24/amazon-reviews-sentiment-analysis

This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.

matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/jakeoeding/rippy

A Python seam carving implementation

numpy python3 seam-carving

Last synced: 04 May 2026

https://github.com/dmdlgg/calculadora_de_indicadores_estatisticos

Uma calculadora que retorna a média, mediana, desvio padrão, quartis e variância dos dados inseridos pelo usuário. Tecnologias utilizadas: Flet, Python e Numpy. (Ainda em andamento)

flet numpy pyhton

Last synced: 04 May 2026

https://github.com/mchenryspagg/investigate_a_dataset

This is a data analysis project that demonstrates the student's ability to use python data analysis libraries such as pandas, numpy and pyplot in matplotlib to investigate a dataset and answer specific questions from the dataset, thus demonstrating skills in data cleaning, data wrangling, and exploratory data analysis.

data-analysis datetime descriptive-analysis descriptive-statistics exploratory-data-analysis numpy pandas pyplot python visualization

Last synced: 04 May 2026

https://github.com/arsalan692/python-telusko-playlist

A collection of beginner Python scripts and practice exercises from my early learning days, inspired by Telusko and other resources.

basic-programming bs4 matplotlib numpy oop pandas python requests selenium tkinter

Last synced: 04 May 2026

https://github.com/liannekiarra/university-dissertation

Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems

artificial-intelligence engineering hypervolume matplot multi-objective-optimization neuralnetwork nsga-ii numpy pareto-front pareto-optimality pymoo python3 sklearn

Last synced: 09 May 2026

https://github.com/cheese23456/ai-based_stock_analysis_and_portfolio_optimisation

📈 Analyze stocks and optimize portfolios with AI-driven insights, technical indicators, and clear investment signals for informed decision-making.

ai asset-allocation financial-analysis huggingface-spaces numpy pandas portfolio-optimisation python scipy-optimize streamlit

Last synced: 04 May 2026

https://github.com/sweta-kaundilya/python_for_data_analysis

Learning Python and all the relevant libraries in python for Data field.

cufflinks data-analysis data-science matplotlib numpy pandas plotly python seaborn

Last synced: 04 May 2026

https://github.com/anker661/autograd-playground

A simple Numpy & Python based auto differentiation system that supports visualization before and after back-propagation.

auto-differentiation autograd computaion-graph jupyter-notebook numpy python3

Last synced: 09 May 2026

https://github.com/jonad/titanic_exploratory_analysis

Exploratory Data Analysis on Titanic Dataset

jupyter-notebook numpy pandas python3

Last synced: 04 May 2026

https://github.com/florasteve/ml-foundations-day1

Day-1 ML foundations focused on linear algebra: vectors, dot products, norms, angles, projections, and basic matrix operations—implemented in a Jupyter notebook with NumPy/Matplotlib, clear 2D visuals, a self-quiz, and a brief reflection. Emphasizes how these math primitives map to core ML/AI ideas (similarity, least squares, geometric transforms).

ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy python3 terminal-mac tutorial visualization vscode

Last synced: 04 May 2026

https://github.com/sugha22/data_analysis

Actively upskilling in data science with hands-on learning during a Green Internship focused on environmental sustainability. Used Pandas and NumPy for data preprocessing and cleaning, and created visual dashboards in Excel and Tableau. Gained experience in interpreting sustainability metrics and communicating insights through data storytelling and

data-cleaning data-collection data-storytelling data-transformation excel numpy pandas preprocessing sustainability-metrics tableau-dashboards visualization

Last synced: 04 May 2026

https://github.com/arjunravi26/selenium

This repository contains code from my learning about Selenium for web scraping and automation.

numpy python selenium time undetected-chrome webdriver

Last synced: 09 May 2026

https://github.com/silbena/gibbssampler

Gibbs Sampler for a simple mortgage model.

gibbs-sampler gibbs-sampling numpy python

Last synced: 04 May 2026

https://github.com/wwwmisla/gerador-mapas-calor

Sistema de visão computacional para gerar mapas de calor com base na movimentação em espaços públicos, auxiliando no planejamento urbano e uso eficiente do espaço.

color computer-vision demo google-colab gradio heatmap marchine-learning matplotlib model numpy opencv people-detection python smart-city ufrn visao-computacional vision-computer yolo yolov8

Last synced: 04 May 2026

https://github.com/abhijeet-bhambere/exploratory_data_analysis

A collection of several projects for conducting EDA on datasets from various sources

exploratory-data-analysis matplotlib numpy pandas python

Last synced: 04 May 2026

https://github.com/ronitjariwala/-prodigy_ds_01

Prodigy InfoTech Data Science Internship Task-1

matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/betiniakarandut/portfolio-project

Sukkar and Cornell Integral Approach to Estimate Static Bottom Hole Pressure(SBHP)

numpy pandas python3

Last synced: 09 May 2026

https://github.com/swarup-ranjan-mondal/chat-analyzer

A streamlit app to analyze whatsapp personal and group chats.

matplotlib numpy pandas python seaborn streamlit

Last synced: 04 May 2026

https://github.com/hasnainroopawalla/sudoku-generator

This algorithm can generate and solve a random Sudoku Puzzle Board using Backtracking

backtracking numpy python sudoku-generator

Last synced: 16 May 2026

https://github.com/adityakumarda/kmeans-web-analytics

Built with Python, Pandas, and Scikit-learn, this machine learning project uses K-Means to cluster website users by behavior. It reveals patterns in engagement and bounce, helping drive data-informed decisions.

cluster-analysis elbow-curves elbow-method elbow-plot jupyter-notebook kmeans-clustering machine-learning matplotlib numpy pandas python python3 relationship scikit-learn seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/manuethomas/credit-default-risk-analysis-eda

This repository contains the detailed EDA analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices

bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis

Last synced: 04 May 2026

https://github.com/alexgustafsson/word-frequencies

Data and tools to compile word frequencies, trigrams and more for use with NLP, spelling correction etc.

language nlp nltk numpy python python3 sklearn spelling-correction trigram

Last synced: 10 May 2026

https://github.com/vviveksharma/barcodescanner

The Bar Code scanning Application built using Computer Vision library such as Opencv in python the main objective of the project is to read the barcode that is being shown in the camera and decoding it and telling if the Database or Text file that is attached to it has that permitted decoded number if yes then it shows "Permitted" is green else "Not-Permitted" in red

numpy opencv python3

Last synced: 10 May 2026

https://github.com/alphacrypto246/air-quality-prediction

The Air Pollution Prediction project forecasts pollution levels using the Air Quality UCI dataset, including variables like CO, NOx, temperature, and humidity. It analyzes temporal and environmental factors to predict air quality trends.

machine-learning numpy pandas scikitlearn-machine-learning sckiit-learn

Last synced: 10 May 2026

https://github.com/hanzopgp/randomkagglesolving

Trying to build models to resolve some interesting Kaggle datasets thanks to deep learning.

artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib numpy personal tensorflow

Last synced: 04 May 2026

https://github.com/abhishekyadav915/e-commerce-sales-analysis

E-Commerce Sales Analysis is a data analysis project that explores sales data from an e-commerce platform to uncover insights and trends. The analysis includes visualizing sales performance, customer behavior, and product trends to help optimize business strategies and improve customer satisfaction.

matplotlib-pyplot numpy pandas-library plotly python3

Last synced: 04 May 2026

https://github.com/rlxchap2/crypto-miner

🔨Crypto Miner is a Python project designed to encrypt and decrypt files, especially images, using the powerful cryptography library

crypto cryptography csv numpy pillow python

Last synced: 08 May 2026

https://github.com/aqueeqazam/machine-learning-using-scikit

This repository contains all of the algorithms used to train the machine learning models using the Scikit library.

numpy scikit-learn

Last synced: 04 May 2026

https://github.com/cartabinaria/calcolo-numerico

Una raccolta di risorse per l'insegnamento di Calcolo numerico (02023) del Corso di Laurea in Informatica.

course maths numerical-methods numpy scipy uni

Last synced: 20 Jan 2026

https://github.com/sarmad426/python

Python mastery. OOP | Numpy | Pandas | Jupyter Notebook & more.

fastapi file-handling-in-python jupyter numpy oop pandas pytest python regex unit-tests

Last synced: 10 Apr 2026

https://github.com/dmkk01/mlp-python

Implementation of a multilayer perceptron using Pytorch and Numpy libraries

mlp numpy pytorch

Last synced: 05 May 2026

https://github.com/22p31a0512/sentimental-analysis

Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.

feature-engineering machine-learning natural-language-processing numpy pandas python supervised-learning text-classification text-processing tokenization

Last synced: 12 Apr 2026

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: 11 Apr 2026

https://github.com/sonatipek/matris_transactions_py

My "Python Programlama-I" lesson's homework. Some matris transactions with numpy library in Python

matrix numpy numpy-arrays python sonatipek

Last synced: 24 Mar 2025

https://github.com/sothulthorn/stock-prediction-portal

The Stock Prediction Portal is a full-stack web application that demonstrates how to use machine learning models to analyze stock market data and forecast future trends.

axios django django-rest-framework javascript keras matplotlib numpy pandas python react tensorflow yfinance

Last synced: 02 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/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/prarthana-singh/potato-disease-classification-using-deep-learning

🌱 Potato Disease Classification using Deep Learning – A deep learning-based model to detect and classify potato plant diseases using image processing and CNNs. Built with TensorFlow/Keras & Python.

agriculture cnn deep-learning image-classification keras machine-learning neural-network numpy pandas plant-disease-detection python3 streaming tensorflow

Last synced: 12 Apr 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/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/rizkyrajitha/ann_101

A really simple neural network for binary classification written from scratch using python

jupyter-notebook numpy pandas

Last synced: 08 May 2026

https://github.com/alejoduarte23/bs6472

Serviceability assessment as per BS 6472 for human exposure to vibration in buildings Vibration sources other than blasting

matplotlib numpy pydantic scipy

Last synced: 07 Jan 2026

https://github.com/fabricioarendtorres/streamauc

Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..

classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic

Last synced: 06 Jan 2026

https://github.com/otuemre/housepricingml

A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.

eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression

Last synced: 13 Apr 2026

https://github.com/reckonsys/datascience-docker

A docker image with numpy, scipy, nltk and pandas pre-installed with pip

docker docker-image dockerfile nltk numpy pandas scipy

Last synced: 10 Mar 2025

https://github.com/the-developer-306/fake-review-detector

This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.

classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis

Last synced: 12 Apr 2026

https://github.com/filip-kustura/python-covid-19-behaviors-analysis

Using Jupyter Notebook, this university project analyzes attitudes and behaviors related to the COVID-19 pandemic using a two-year survey from Imperial College London and YouGov research company. Utilizing Pandas, NumPy and Matplotlib, the data analysis focuses on three countries, exploring trends and insights throughout the pandemic.

covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas python university-project

Last synced: 12 Apr 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/chandkund/sentiment-analysis-using-nlp

This project focuses on Sentiment Analysis using the textual content from product reviews. The goal is to analyze user sentiments based on their written feedback, particularly focusing on the "reviewText" column in the dataset.

lemmatization matplotlib nlp nltk numpy pandas seaborn tokenization

Last synced: 31 Jan 2026

https://github.com/themihirmathur/soiligator

Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.

auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine

Last synced: 12 Apr 2026

https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly

This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.

correlation-analysis flask kmeans-clustering numpy pandas plotly python scikit-learn seaborn standardscaler

Last synced: 12 Apr 2026

https://github.com/soumyapro/heart-disease-prediction

This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.

logistic-regression numpy pandas simpleimputer sklearn

Last synced: 21 Jan 2026

https://github.com/lorenzorottigni/ml-missing-values

Machine Learning course of Piero Savastano 5: ColumnTransformer, SimpleImputer, numpy

column-transformer machine-learning missing-values numpy simple-imputer

Last synced: 05 May 2026

https://github.com/ledsouza/python-powerbi

Desenvolver uma dashboard para análise do mercado financeiro utilizando Python e Power BI

etl matplotlib numpy pandas powerbi python seaborn

Last synced: 12 Apr 2026

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

Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.

exploratory-data-analysis klib machine-learning matplotlib numpy pandas pycaret-library regression seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/abideen-olawuwo/logistic-regression-house-prediction

Using logistic Regression Model to predict house price

logistic-regression matplotlib numpy pandas python seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/linggarm/priority-task-selection-using-evolutionary-programming

A web app that utilizes Evolutionary Programming to determine and prioritize tasks for efficient scheduling.

artificial-intelligence css evolutionary-algorithms evolutionary-programming flask html javascript machine-learning numpy python

Last synced: 12 Apr 2026

https://github.com/raghavendra317/brain-tumor-detection

A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.

cnn-classification keras numpy opencv scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/mostafa-ghorab/global-happiness-analysis

An analysis of global happiness rankings based on various factors like GDP, family support, health, and freedom from the World Happiness Report (2015-2017). This project provides data visualizations and statistical insights into how these factors influence happiness scores in different regions.

business-analysis data-analysis data-visualization matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/jokoum/sentiment-classification

Multi-layer Perceptron classification of product reviews written in Greek language

flask machine-learning multilayer-perceptron-network neural-network numpy python sentiment-classification

Last synced: 05 May 2026

https://github.com/mahmoudnamnam/superstore-analysis

This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance.

clustering data-analysis data-science data-visualization geopandas jupyter-notebook machine-learning numpy pandas plotly regression seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/sandipkushwaha20/brain_tumour_detector

This project utilizes deep learning to detect and classify brain tumors from MRI images. The primary objective is to determine whether a tumor is present and, if so, classify its type with high accuracy.

deeplearning keras numpy pandas python tensorflow

Last synced: 12 Apr 2026

https://github.com/thekartikeyamishra/object-detection-for-retailer

The AI Customer Feedback Summarizer is a Python-based tool that uses extractive summarization techniques to provide concise summaries of customer feedback.

ai computer-vision cv2 numpy pillow python torch torchvision yolov5

Last synced: 05 May 2026

https://github.com/parth-jatav/super-store-analysis-project

The Super Store Analysis project leverages Python libraries such as pandas, matplotlib, and numpy to perform a comprehensive analysis of a retail store's data. This project includes data cleaning, visualization, and statistical analysis to identify key trends, optimize inventory, enhance decision-making processes for improved business performance.

data-analysis matplotlib numpy pandas python super-store

Last synced: 12 Apr 2026

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