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/medyessinkhlif/medclaimml

An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.

healthcare jest-tests mern-stack mongodb nodejs nosql numpy pytorch react scikit-learn tailwindcss

Last synced: 13 May 2025

https://github.com/briankopp/fewerbytes

compress numpy arrays. binary and numeric techniques for numpy compression

compress compression numpy python python3 storage

Last synced: 10 Oct 2025

https://github.com/aahad91/idv

Interactive Data Visualization - Master Course

matplotlib numpy pandas plotly python3

Last synced: 03 Mar 2025

https://github.com/achuth-0908/hemoguard-anemia-predictor

A Web App incorporated with a Gradient Boosting Classifier Model, to predict Anemia with given data.

css flask html matplotlib numpy pandas python scikit-learn

Last synced: 22 Jun 2025

https://github.com/theanujsinha01/rainfall-prediction-using-machine-learning

This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.

classification data-analysis eda machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn supervised-learning

Last synced: 28 Jun 2025

https://github.com/gauravsakure02/python_libraries

Data Analysis using Python libraries

matplotlib numpy pandas-library streamlit

Last synced: 10 Oct 2025

https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books

Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots

apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning

Last synced: 10 Oct 2025

https://github.com/shriram-vibhute/realestateforecast-price-prediction-system

This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.

exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn

Last synced: 07 Apr 2025

https://github.com/shemanto27/python_flask_colour_palette_generator

A colour palette generator from images tool, built using Python Flask

flask numpy pillow python

Last synced: 06 Apr 2025

https://github.com/cskhomo/scientific-python

Scientific Computation, Data Analysis using Python, Bash, SQL for FreeCodeCamp Courses.

numpy postresql shell-scripting

Last synced: 14 May 2025

https://github.com/rixiiz/using-knn-to-predict-the-obp-of-mlb-players

Using KNN to predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season

artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning

Last synced: 30 Dec 2025

https://github.com/reddyprasade/bicycle-sharing-system-in-us

A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.

dataanalysis jupyter maplotlib numpy pandas python r

Last synced: 29 Aug 2025

https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing

Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts

colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn

Last synced: 31 Dec 2025

https://github.com/nomadsdev/financial-trend-analyzer

FinancialTrendAnalyzer helps analyze and visualize sales data to uncover financial trends. It uses Python to calculate total sales, track changes, and generate insightful charts for better decision-making.

business-intelligence data-analysis data-visualization financial-analysis matplotlib numpy pandas python revenue-trends sales-data seaborn time-series-analysis

Last synced: 19 Jan 2026

https://github.com/gavineshwar/assignment_plagarism_checker

Assignment Plagiarism Checker

fitz flask html-css numpy python

Last synced: 19 Jun 2025

https://github.com/javierkaiser9/rgb-d_dual_input_machine_learning_model

This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO

efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow

Last synced: 12 Oct 2025

https://github.com/kr1shnasomani/greendetect

Detection of plant diseases using CNN (ResNet50 architecture)

computer-vision deep-learning keras neural-network numpy opencv pandas scikit-learn tensorflow

Last synced: 18 Jul 2025

https://github.com/pradeepkumaryenni/my-projects

Data, Visualized - Unlocking the power of data through stunning visualizations. Check out my Power BI projects. Your Data, Your Story - Let's tell compelling stories with data. Explore my Power BI projects.

azure chatgpt dax-languague exce matplotlib-python numpy powerbi-visuals powerqu sql

Last synced: 07 Apr 2025

https://github.com/yukti-09/linear-regression

A small code for understanding linear regression.

linear-regression matplotlib mean-squared-error numpy

Last synced: 13 Oct 2025

https://github.com/zolabar/interactive-calculus

Interactive Calculus with SymPy and Jupyter Widgets

ipywidgets jupyter-notebook numpy plotly python sympy voila-dashboard

Last synced: 13 Oct 2025

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: 13 Oct 2025

https://github.com/kiritoind/neural-network-for-cat-image-classification

This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction

classification computer-vision deep-learning deep-neural-networks jupyter-notebook numpy python

Last synced: 17 Nov 2025

https://github.com/g-eoj/cv-tl-keras

Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.

cross-validation keras numpy scikit-learn transfer-learning

Last synced: 15 Mar 2025

https://github.com/oguzhansarigol/expected-goals-xg-data-analysis

We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.

data-analysis-python expected-goals numpy pandas-python python

Last synced: 06 Apr 2025

https://github.com/jayanthpotluri5513/ml-project-on-iris-dataset-

In this machine learning project, we explore and analyze the famous Iris dataset. The goal of the project is to apply various machine learning techniques to classify the Iris flowers based on their measured features.

machine-learning matplotlib numpy pandas python streamlit

Last synced: 30 Dec 2025

https://github.com/shsiena/Evolutionary-Dots

A simple pygame genetic-algorithm project simulating evolution of dots to find a path around obstacles to a goal.

evolutionary-algorithm genetic-algorithm machine-learning mutation numpy pathfinding pygame python3

Last synced: 14 Oct 2025

https://github.com/bielstela/connect-four

Numpy implementation of the game connect four (AKA four in a row)

game-2d numpy numpy-exercises python

Last synced: 14 Oct 2025

https://github.com/sultanazhari/credit-scoring

A bank Company Wants to Analize their customer borrower defaults. as a Analyst we're giving the report of category and classification that have a big probability as a customer borrower default.

lending-bank numpy pandas phyton3 probability reporting

Last synced: 15 Oct 2025

https://github.com/gracysapra/pandas-numpy-data-visualisation

This repository contains essential Python scripts and notebooks for data analysis and visualization. It includes: pandas: Data manipulation and analysis, including operations on series and dataframes. NumPy: Efficient numerical computations and array processing. Data Visualization: Creating insightful visualizations using Matplotlib and Seaborn.

data-science data-visualization matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-series seaborn

Last synced: 15 Oct 2025

https://github.com/jesussantana/ibm-python-for-data-science-py0101en

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.

data-science numpy pandas python

Last synced: 15 Oct 2025

https://github.com/varshan1123/football-analysis

Designed a soccer analytics system using YOLOv11 for player and ball tracking, with team classification and real-world movement analysis, enabling precise speed and distance assessments. Integrated automated reporting to enhance data-driven decisions for coaches and analysts.

gemini-api kmeans-clustering numpy opencv ultralytics yolov11

Last synced: 15 Oct 2025

https://github.com/sirinemaaroufi/arabic-sentiment-analysis

This project focuses on developing a sentiment analysis model for Arabic text, leveraging hybrid transformer-based models (AraBERT) and LSTM approaches.

arabert arabic-nlp bert-model feature-extraction lstm machine-learning nlp numpy pandas pretrained-models python pytorch sentiment-analysis transformers

Last synced: 28 Mar 2025

https://github.com/sun-data/ndfilters

Numba-accelerated, n-dimensional image filters.

filters image-processing n-dimensional numba numpy scientific-computing scipy

Last synced: 27 Oct 2025

https://github.com/achalesh27022003/python-assignments-iwt

This repository is objected to have all the assignments and project related to IWT (Semester - 3).

cosinewave frame grid image imagetk labels matplotlib-pyplot numpy numpy-arrays numpy-library photoimage pil python3 sinewave spyder tkinter tkinter-gui window

Last synced: 29 Jun 2025

https://github.com/simran2911/restaurant_rating_pridiction

This github repository have restaurant rating analysis and understand what contributes to high or low ratings on the platform and how these insights can be leveraged for business decision-making.

jupyter-notebook machine-learning numpy pandas powerbi python sklearn statistics tableau

Last synced: 12 Oct 2025

https://github.com/kwanit1142/machine-learning-models-on-different-scenarios

Pattern Recognition and Machine Learning based Assignments and Labs, under Prof. Richa Singh in Course CSL2050.

deep-learning diabetes iris machine-learning matplotlib mlxtend mnist nltk numpy pandas pytorch regex seaborn sklearn

Last synced: 16 Oct 2025

https://github.com/simran2911/flight-price-pridiction

This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.

accuracy-score catboostregressor machine-learning matplotlib numpy pandas r2-score random-forest-regression seaborn xgboost-regression

Last synced: 26 Feb 2025

https://github.com/toby-sanders-101/mydigits

Everything needed to create a AI bot that can read images

deep-neural-networks image-classification matplotlib numpy opencv pyautogui python

Last synced: 04 Mar 2025

https://github.com/khaymanii/medical_insurance_cost_prediction-_model

This Model was built using Python and Linear Regression algorithm

matplotlib numpy pandas python sckit-learn seaborn

Last synced: 17 Oct 2025

https://github.com/akash-rajak/large-image-preview

Python Script to view large image using scroll bars.

cv2 large-image large-image-preview numpy python3 tkinter

Last synced: 17 Oct 2025

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: 18 Oct 2025

https://github.com/sehgalnaval/olympics-data-analysis

I will be building an Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries. The project will also be deployed to Heroku.

heroku jupyter-notebook matplotlib numpy pandas pycharm python seaborn

Last synced: 30 Dec 2025

https://github.com/KernFerm/PresFutImpactSim

This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.

economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model

Last synced: 16 Oct 2025

https://github.com/lioccoumd/news-sentiment-analysis

This scrapes a variety of news stations websites for article titles and evaluates them using distilBERT pretrained model for sentiment analysis.

beautiful datasets distilbert news nltk numpy python pytorch reques scraping-websites sentiment-analysis transformers

Last synced: 13 Apr 2025

https://github.com/prahaladhchandrahasan/decision_tree_internship_tsf

Decssion tree algorithm was applied on the Iris Dataset . One of my submissions for the TSF's GRIP internship, October 2020.

decision-tree-classifier matplotlib-pyplot numpy pandas python3

Last synced: 30 Mar 2025

https://github.com/drewstone/katz-centrality

Katz centrality of a wheelgraph

centrality graphs networks numpy

Last synced: 06 Mar 2025

https://github.com/m-faizan-mahmood/detailed-exploratory-data-analysis-eda-marketing-recomendations.

This project focuses on cleaning, preprocessing, and analyzing data using Pandas and NumPy. Key steps include handling missing values, removing outliers, feature engineering, and exploratory data analysis (EDA). Visualizations with Matplotlib and Seaborn highlight trends in customer spending, campaign performance, and product sales.

big-data data-analysis data-processing data-science eda exploratory-data-analysis numpy pandas python

Last synced: 30 Dec 2025

https://github.com/serhatderya/fall_detection

This project implements a computer vision-based fall detection system using deep learning techniques. The system can detect whether a person has fallen in images or video frames.

ai artificial-intelligence artificial-neural-networks computer-vision deep-learning deep-neural-networks deeplearning falldetection matplo neural-network numpy opencv pil pillow pytorch tensorflow yolo yolov5 yolov8

Last synced: 30 Dec 2025

https://github.com/khaymanii/wine-quality-prediction-model

This is a model built using Python and Random Forest Classifier which is an ensemble algorithm and also a supervised learning algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 31 Dec 2025

https://github.com/rushikeshbihade/django_bsased_dataanalyzer_webapp

Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.

backend-development bootstrap css3 dataanalysis dataprocessing django-application django-framework djangotemplates html5 javascript numpy pandas plotly-express python3 seaborn-plots webapp

Last synced: 24 Feb 2025

https://github.com/rhazra-003/indiebot

A basic chatbot which answers questions based on history of India

chatbot jupyter-notebook nlp nltk numpy python3 sckit-learn

Last synced: 20 Mar 2025

https://github.com/zainashrafofficial/ml_project_2024

A machine learning semester project of university, implementing classification and regression models to predict house prices & number of rooms using a dataset with over 160,000 entries.

ai ann artificial-neural-networks classification decision-trees jupyter-notebook linear-regression logistic-regression matplotlib ml numpy pandas python random-forest regression-models svm tensorflow

Last synced: 24 Oct 2025

https://github.com/shibam120302/plant_deseases_prediction

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

keras numpy opencv python

Last synced: 15 Mar 2025

https://github.com/stephenhky/npdict

Python Package for Dictionary Wrappers for Numpy Arrays

dict numpy

Last synced: 20 Jan 2026

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

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

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

Last synced: 31 Dec 2025

https://github.com/bhavyemathur/redstone-ml

High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust

autograd-engine linear-algebra machine-learning numpy pytorch tensor

Last synced: 29 Jun 2025

https://github.com/tejasvi541/machine-learning

My Machine and Deep Learning Practice and Projects Notebooks

matplotlib numpy python3 pytorch sklearn tensorflow

Last synced: 01 Sep 2025

https://github.com/yantonov/ml-docker

Playground for common python ml libraries

anaconda catboost docker docker-image jupiter numpy pyplot python scipy sklearn

Last synced: 16 Nov 2025

https://github.com/bl0nder/regressify

A multi-task neural network coded from scratch that performs simultaneous regression and classification.

classification deep-learning multitask-learning neural-networks numpy regression

Last synced: 25 Oct 2025

https://github.com/zacheddy/imageclassifier

A convolutional neural network from scratch to classify images (demo available)

image-classifier machine-learning neural-network numpy

Last synced: 05 Aug 2025

https://github.com/prakhar-002/pandas-numpy

This repo covers NumPy & Pandas basics! ⚡ NumPy 🧮 for arrays & math operations, 🐼 Pandas 📊 for data handling with DataFrames & Series. 🚀 Includes practical examples 📝 for efficient data processing! 🔥

basics-of-python numpy pandas pandas-dataframe python-library python3

Last synced: 29 Mar 2025

https://github.com/zionc27/computational-art-with-genetic-algorithm

Genetic algorithm to iteratively generate an image resembling an original image

genetic-algorithm numpy photography pillow-library python

Last synced: 13 Mar 2025

https://github.com/sizzlins/kalkulator-ai

A Simple Command Line Input Symbolic Regression Engine and Computer Algebra System (CAS) capable of discovering the laws of the universe, solving calculus, algebra, and trigonometrics.

calculator calculus cli computer-algebra-system curve-fitting machine-learning mathematics numpy physics python scientific-computing scikit-learn sparse-regression symbolic-regression sympy

Last synced: 13 Jan 2026

https://github.com/guifernandess7/megasena-estatisticas-e-analises

Análises e Estatísticas dos jogos da megasena com base em todos os jogos que já ocorreram.

megasena numpy python

Last synced: 14 Jun 2025

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

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

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

Last synced: 29 Mar 2025

https://github.com/lintangwisesa/python_recommendation_system

Basic recommendation system using Python & Sklearn

numpy pandas python recommendation-system sklearn

Last synced: 26 Feb 2025

https://github.com/biantris/graph-python

Graph sin vs cos using matplotlib and numpy

matplotlib numpy python python3

Last synced: 21 Mar 2025

https://github.com/santiagoenriquega/custom_ensemble_learning

This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.

numpy python python3 random-forest random-forest-classifier random-forest-regressor

Last synced: 20 Sep 2025

https://github.com/akashash01/logistic-regresion

This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.

auc-roc-curve classification confusion-matrix data-science kolmogorov-smirnov machine-learning nonlinear-regression numpy pandas python supervised-learning vif woe-and-iv

Last synced: 01 Apr 2025

https://github.com/prashver/salary-prediction-on-scraped-data

This tool predicts data science salaries by scraping Glassdoor job descriptions. Features quantify company valuation of key skills. Regression models include Multiple Linear Regression, Lasso Regression, and Random Forest. Random Forest outperformed others. Technologies/libraries used: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.

data-scraping machine-learning-algorithms matplotlib numpy pandas regression-models salary-estimator seaborn selenium selenium-webdriver

Last synced: 31 Dec 2025

https://github.com/pr38/cox_ph_estimation_notebooks

Personal discovery work on estimating Cox Proportional hazards coefficients for for both breslow and efron ties, using both autograd and directly calculating the gradient and hessian

cox-regression dask data-science machine-learning numpy pytensor statistics survival-analysis

Last synced: 29 Jul 2025

https://github.com/gandhasiri-rahul-mohan/association-rules-2-my-movies

Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots

apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-learning

Last synced: 31 Dec 2025