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/otuemre/simplenet

A simple neural network framework built from scratch using Python and NumPy. Designed as a learning tool, SimpleNET includes essential layers, activation functions, and loss functions, enabling users to build and train basic neural networks from the ground up.

backpropagation deep-learning from-scratch machine-learning neural-network numpy python

Last synced: 13 Apr 2026

https://github.com/otivedani/hedge_hog

Histogram of Oriented Gradients, full numpy

feature-extraction histogram-of-oriented-gradients hog-features numpy

Last synced: 13 Apr 2026

https://github.com/zion-dev1/e-commerce-analysis

Short machine learning project which analyses customer behaviour 🔎

analysis clustering ecommerce machine-learning numpy pandas sklearn

Last synced: 05 Jul 2025

https://github.com/tasninanika/k-nearest_neighbors

K-Nearest Neighbors (KNN) is a simple and powerful machine learning algorithm used for classification and regression.

knn matplotlib numpy pandas python3 seaborn

Last synced: 13 Apr 2026

https://github.com/pvlbzn/kot-or-not

Logistic regression (shallow neural network) which predicts whether input image is a cat or not.

classification-algorithm image-classification logistic-regression machine-learning neural-network numpy

Last synced: 01 Mar 2025

https://github.com/petitgrizzlies/metaheuristiques

Travaux pratiques de meta heuristique. Unige 2016-2017

cffi cpp golang heuristic-algorithm matplotlib numpy python35

Last synced: 13 Apr 2026

https://github.com/mgobeaalcoba/matplotlib_y_seaborn

Aquí dejaré trabajos de visualización realizados con ambas librerías de Python.

data-analysis data-science data-visualization dataset matplotlib numpy pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/aminkhavari78/geoai-challenge-estimating-soil-parameters-from-hyperspectral-images-

Can you predict soil parameters from hyperspectral earth observation data?

dee keras matplotlib neural-network numpy pandas seaborn

Last synced: 13 Apr 2026

https://github.com/shivendrra/Seeker

This project will help to write new scripts for YouTube videos from scratch using fine-tuned Llama-7B

ai artificial-intelligence finetuning google-custom-search-api google-custom-search-engine llama2 llm numpy pandas python pytorch react-native reactjs transformers youtube-api

Last synced: 30 Dec 2025

https://github.com/parmeetbhamrah/air-quality-india-analysis

Exploratory data analysis of real-time air quality data from Indian cities using Python, Pandas, Matplotlib, and Seaborn.

air-quality data-analysis eda exploratory-data-analysis government-data india matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/vitroid/tilecycles

Tessellate a graph into cycles.

genice2 graph numpy tiling

Last synced: 27 Feb 2025

https://github.com/jayanthsd2003/dms_sarathi_-driver-monitoring_system-

This is a project which can be seen on TATA Trucks and other premium edition cars based and focussed on the safety and monitoring driver Consciousness state

dlib dlib-face-detection numpy opencv-python pygame python pyttsx3 scipy

Last synced: 13 Apr 2026

https://github.com/akash-rajak/image-noise-remover

Python Script to remove noise from image.

cv2 image-noise-remover numpy os python3 random tkinter

Last synced: 28 Apr 2026

https://github.com/mtgsoftworks/blink-detecion-player

It is a software that has the ability to stop and play the videos watched on youtube and rewind when the eyes of this software are closed and opened.

dlib numpy opencv-python python3 scipy selenium-webdriver

Last synced: 13 Apr 2026

https://github.com/muhammad-fiaz/gpt

A simple implementation based on the "Attention is All You Need" paper, using GPT-2 for text generation.

attention-is-all-you-need gpt gpt-2 gpt-3 gpt-implementation gpt-using-pytorch gpt2 numpy open-source paper-implementations python pytorch pytorch-implementation

Last synced: 13 Apr 2026

https://github.com/iv4n-ga6l/Realtime-Car-Traffic-Tracking

Realtime car traffic tracking using yolov8 model

cartracking numpy opencv python ultralytics yolov8 yolov8n

Last synced: 28 Apr 2025

https://github.com/iv4n-ga6l/OpenPose-Prediction

Person's body parts or joint position detection using openCV

detection numpy opencv prediction prediction-model python

Last synced: 28 Apr 2025

https://github.com/ngirimana/decision-trees-and-random-forest-

For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).

artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn

Last synced: 11 Apr 2026

https://github.com/leabrodyheine/water-pump-status-prediction

This project implements machine learning models to predict the status of water pumps in Tanzania using data from DrivenData's competition. The project includes preprocessing steps, model evaluation using cross-validation, and hyperparameter optimization with Optuna.

argparse cross-validation gradient-boosting-classifier logistic-regression machine-learning multilayer-perceptron numpy optuna pandas random-forest-classifier scikit-learn

Last synced: 11 Apr 2026

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: 13 Apr 2026

https://github.com/anvesham/machinelearning_models_using_matlab

Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers

bagging-ensemble bayesian-optimization decision-trees jupyter-notebook machine-learning matlab multiple-linear-regression-model numpy python random-forest-regression

Last synced: 11 Apr 2026

https://github.com/aarryasutar/credit_eda

This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.

binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 13 Apr 2026

https://github.com/uea-geral/rna-perceptron-exercise

🤖Disciplina de RNA: treinamento de um neurônio Perceptron.

jupyter-notebook neural-network numpy perceptron python scikit-learn

Last synced: 13 Apr 2026

https://github.com/fearless-spider/stooq-dax-seasonal

Parsing seasonality from time series data can often be useful in data analytics. It helps with analyzing seasonality for decision making as well as for more accurate forecasts. Python can be used to separate out these trend and seasonal components.

numpy pandas python statistics

Last synced: 13 Apr 2026

https://github.com/mahnoorsheikh16/Credit-Card-Default-Prediction

This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

chi-square-test encoding hiplot imblearn json knn-imputer matplotlib numpy pandas pca-analysis pillow plotly robust-scalar scipy seaborn sklearn smote streamlit ttest visualization

Last synced: 01 Mar 2025

https://github.com/abhinav330/data-science-projects

The Data Science Projects folder contains various projects related to data analysis, machine learning, and exploratory data analysis (EDA). Each project focuses on a specific dataset and utilizes different techniques and algorithms to extract insights and make predictions.

decision-trees exploratory-data-analysis k-means-clustering k-nearest-neighbours kaggle linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly python random-forest-classifier support-vector-machines

Last synced: 30 May 2026

https://github.com/dpgitaccount/file-handling-data-analytics-toolkits

In this repo File handling, Inventory management system and data toolkits resources are provided these are essential for managing, storing, and manipulating data in various formats, such as JSON files. JSON (JavaScript Object Notation), is widely used for data exchange due to its simplicity and readability. also File Handling included in this repo.

filehandling inventory-management json jupyter-notebook numpy os

Last synced: 13 Apr 2026

https://github.com/dipeshgoyal013/ipl_win_probability

A project which help you to check win probability of batting team in inning 2nd

machine-learning matplotlib numpy pandas python sklearn

Last synced: 05 Feb 2026

https://github.com/nafisalawalidris/tools-for-data-science

It covers popular languages (Python, R, SQL) and libraries (NumPy, Pandas) used in the field. The author shares their objectives of teaching data analysis, web development, and critical thinking skills. The repository also includes code examples, explanations of arithmetic expressions, and contact information for the author.

arithmetic-expressions data-analysis data-science data-visualization languages libraries matplotlib numpy pandas programming python r sql tools web-development

Last synced: 11 Apr 2026

https://github.com/aymen016/image-processing-algorithms

Explore Python-based image processing from scratch with core algorithms like interpolation, convolution, and filtering!

matplotlib numpy pillow python

Last synced: 13 Apr 2026

https://github.com/itancio/realestateprice

This is an application of deep learning to train and predict real estate price dataset in King County, USA.

datat-visualization machine-learning numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/solrikk/optichrom

This repository provides a collection of Python tools and applications for comparing images using various algorithms such as ORB (Oriented FAST and Rotated BRIEF) and SSIM (Structural Similarity Index). The tools include both command-line scripts and graphical user interface (GUI) applications for ease of use

computer-vision cv2 feature-matching image-comparison image-comparison-tool machine-learning numpy object-detection opencv orb python scikit-image ssim tkinter visualization yolo yolov5

Last synced: 18 Jan 2026

https://github.com/fiercex/toynn

Python实现神经网络

mnist-classification neural-network numpy python

Last synced: 15 May 2026

https://github.com/sivatsk26/university-admit-eligibility-predictor

This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information

html-css-javascript ibm-cloud ibm-watson linear-regression machine-learning matplotlib numpy pandas python python-flask random-forest scikit-learn

Last synced: 13 Apr 2026

https://github.com/hansalemaos/permutation_no_repetition

Permutation without repetition - written in Cython - for Numpy

cython data-science no-repetitions numpy pandas permutations

Last synced: 14 Jan 2026

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

🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.

kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model

Last synced: 13 Apr 2026

https://github.com/quentinwidlocher/cours-python-pandas

Jupyter Lab sur le traitement des données en python

jupyter-lab matplotlib numpy pandas python

Last synced: 13 Apr 2026

https://github.com/takkii/pylean

Data analysis ( 🐍 💎 📈 )

analayze matplotlib numpy pandas python scikit-learn

Last synced: 09 Sep 2025

https://github.com/Krisseck/hki-traffic-predict

Keras neural network to predict traffic in Helsinki

avoindata helsinki keras numpy open-data python traffic

Last synced: 13 Jul 2025

https://github.com/programmer-rd-ai/moviedatascraper

Explore the cinematic universe with our IMDb web scraping project! Dive into movie data with ease, uncovering insights from cast to critical reviews. With dynamic visualizations and reliable data, let's journey through the world of movies like never before. Lights, camera, analysis!

beautifulsoup beautifulsoup4 data data-analysis jupyter-notebook matplotlib numpy pandas programming python python3 scraping seaborn software web

Last synced: 01 Mar 2025

https://github.com/programmer-rd-ai/dimensionality-reduction

DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.

analytics data-analysis data-science lightgbm machine-learning matplotlib numpy pandas programming python python3 sklearn university xgboost

Last synced: 01 Mar 2025

https://github.com/21aja/house_price_prediction_revised_project

House price prediction using ML with Decision Tree Regressor achieving 100% accuracy. Preprocessing, EDA, and model evaluation applied using Python, Pandas, NumPy, Scikit-learn, and XGBoost for data-driven insights.

decision-tree-classifier linear-regression numpy pandas xgboost

Last synced: 13 Apr 2026

https://github.com/chaymabghozzi/somnolence

Détection de somnolence

dlib numpy opencv pygame python

Last synced: 13 Apr 2026

https://github.com/codewitheshayoutube/corvit_python_data_analytics_course

I teach Python & Data Analytics at Corvit Systems. This repository contains all course materials, including code, assignments, projects, and resources. ⭐ Stay updated!

matplotlib numpy pandas python python3 scikitlearn-machine-learning seaborn

Last synced: 13 Apr 2026

https://github.com/rara-ch/data-analysis-portfolio

This repository to store my data analytics projects, showcasing my skills in SQL and Python.

data-analysis mathematics matplotlib numpy pandas portfolio probability python seaborn sql statistics

Last synced: 12 Mar 2025

https://github.com/rishraks/color-object-detection

This project enables real-time detection of user-defined color objects using a webcam. Users enter a color name, and the program identifies objects matching that color by converting it to its HSV range, applying a mask, and detecting contours. It's a practical tool for object tracking, sorting, and interactive applications.

computer-vision numpy opencv pillow-library

Last synced: 11 Apr 2026

https://github.com/mansurpro/digitrecognizer

DigitRecognizer is a simple, handcrafted neural network implemented with NumPy to classify handwritten digits from the MNIST dataset. This project demonstrates the foundational principles of neural networks, including forward propagation, backpropagation, and gradient descent, all built from scratch without relying on deep learning frameworks.

backpropagation custom-dataset data-visualization deep-learning from-scratch gradient-descent handwritten-digit-recognition machine-learning minimal-dependencies mnist neural-network numpy python

Last synced: 16 May 2026

https://github.com/martincastroalvarez/python-deep-learning-algorithms

Combinatorics implemented with numpy, matplotlib and scipy.

algebra combinatorics matplotlib numpy python scipy

Last synced: 13 Apr 2026

https://github.com/mchenryspagg/prosper-loan-project

A data analysis project that entails using the data from a fictional loan company known as Prosper to perform exploratory data analysis using univariate, bivariate and multivariate visualizations to produce insights that answers questions asked from the data

datastorytelling exploratory-data-analysis exploratory-data-visualizations jupyter-notebook matplotlib-pyplot numpy pandas python seaborn-plots

Last synced: 13 Apr 2026

https://github.com/moataz-elmesmary/analog-clock-opencv

Computer vision project implemented with OpenCV

computer-vision cv2 numpy opencv

Last synced: 07 May 2026

https://github.com/varun-khorgade/churnshield-customer-retention-predictor

Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.

classification-algorithm datapreprocessing f1-score feature-engineering hyperparameter-tuning logistic-regression matplotlib model-evaluation numpy pandas python ran roc-auc scikit-learn seaborn xgboost

Last synced: 07 May 2026

https://github.com/hossein-cod/deep-learning-for-training

Analysi hear disease data set with deep learning

accuracy chart jupyter keras matplotlib numpy pandas py python sklearn tensorflow

Last synced: 09 Mar 2026

https://github.com/datarohit/date-fruit-classification

This is Date Fruit Data taken from Kaggle. This data severs a classification problem to solved. Using various features of the fruit classify the fruit to its type.

classification logisticregression numpy pandas python3 standard-scaler

Last synced: 13 Apr 2026

https://github.com/mardavsj/numpy-in-python

The fundamentals of Python NumPy Library.

analysis-tool data-manipulation numpy numpy-arrays numpy-matrix python

Last synced: 14 Apr 2026

https://github.com/arjunan-k/netflix_analysis

Exploratory Data Analysis on Netflix Movies & TV Shows.

matplotlib numpy pandas plotly seaborn

Last synced: 09 May 2026

https://github.com/faisal-khann/comprehensive_banking_portfolio

This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.

data-manipulation eda matplotlib numpy pandas powerbi python seaborn

Last synced: 20 Apr 2026

https://github.com/kshitijshrivastava1903/neural_network_analysis_on_lending_club-dataset

Used tensorflow's neural network model to predict whether or not a person pays back a loan on the basis of his historical data and personal details of 3.9 lakh people like interest rate, employment details, address, etc.

deep-learning dropout-keras earlystopping keras-tensorflow matplotlib-pyplot neural-networks numpy pandas seaborn tensorflow-models

Last synced: 18 Feb 2026

https://github.com/peterfication/num-peek

A CLI tool to peek into *.npy files

cli numpy python rust

Last synced: 20 Jan 2026

https://github.com/smusab9152/pokemon_data_analysis

This repo that explores and analyzes a dataset of Pokémon attributes. The analysis includes data cleaning, exploratory data analysis (EDA), and visualizations .

analytics data-analysis data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas pokemon python seaborn statistical-analysis

Last synced: 02 May 2026

https://github.com/ejw-data/proj-nba-eda

NBA exploratory data analysis project with Pandas and Tableau

nba numpy pandas python tableau

Last synced: 14 Apr 2026

https://github.com/ryantusi/ai_ml_fundamentals

Welcome to my GitHub repository showcasing projects completed during the AI/ML Foundation course from Codecademy. This repository contains a collection of projects that demonstrate my skills and knowledge in the field of artificial intelligence and machine learning.

artificial-intelligence data-science data-visualization exploratory-data-analysis foundation machine-learning numpy pandas python

Last synced: 14 Apr 2026

https://github.com/mohd-faizy/learn_numpy

NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.

array-manipulations numpy numpy-arrays numpy-matrix numpy-neural-network numpy-python numpy-tutorial

Last synced: 26 Feb 2026

https://github.com/carrington-115/ppt-generator-from-excel

PPT Generator for Excel file

numpy oop pandas python python-pptx

Last synced: 10 Feb 2026

https://github.com/kimpro82/myinvestmentmodules

Someday these will be an integrated trading system, but not now. So I am sad.

investment monte-carlo-simulation numpy python r vba xing-api

Last synced: 10 Feb 2026

https://github.com/w86763777/numpynet

A simple Deep Learning framework powered by numpy.

backpropagation cnn deeplearning fundamental numpy python

Last synced: 11 Feb 2026

https://github.com/hansalemaos/locate_pixelcolor

Locate RGB values in a picture! 40x faster than PIL, 5x faster than numpy

bot colors locate np numexpr numpy rgb

Last synced: 27 Feb 2026

https://github.com/piyush1927/flightforecast

ML model to predict flight prices based on various features like departure time, arrival time, duration, airline, source, destination, and number of stops.

machine-learning mathplotlib numpy pandas scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/chandadiya2004/mnist-digit-classification

This repository demonstrates MNIST digit classification using deep learning. It includes a neural network model built with frameworks like TensorFlow to classify handwritten digits (0-9) from the MNIST dataset. The project covers data loading, preprocessing, model training, evaluation, and accuracy visualization.

confusion-matrix cv2 google-colab-patches keras matplotlib-pyplot numpy pillow python seaborn tensorflow

Last synced: 12 Feb 2026

https://github.com/sralter/sustainability_insights

A data analysis project that derived insights from an emissions dataset sourced from Climate TRACE.

duckdb eda matplotlib numpy pandas tableau

Last synced: 12 Feb 2026

https://github.com/muhammadabyaz/facial-recognition-based-attendance

Facial Recognition Based Attendance System

numpy open-cv pandas pyqt python3 qml supabase

Last synced: 12 Feb 2026

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: 27 Feb 2026

https://github.com/zceemja/si-base

A basic python package that converts numerical strings with units to base units

conversion jax numpy python scientific scipy

Last synced: 12 Feb 2026

https://github.com/lasithaamarasinghe/face-recognition

This project demonstrates a basic face recognition system using Python, OpenCV, and the face_recognition library.

cmake computer-vision dlib face-recognition numpy opencv python visualstudiocode

Last synced: 16 Apr 2026

https://github.com/simranjeet97/machine-learning

How to Setup Machine Learning Environment in Your PC or Laptop ? How to install Machine Learning Libraries ? How to Build ML Models, Algorithms and Other Stuff ??Your all Questions are answer here !!!!

algorithm deep-learning environment-configuration keras libraries machine-learning numpy pandas scipy tensorflow

Last synced: 16 Apr 2026

https://github.com/hq969/customer-churn-prediction-with-hyperparameter-optimization-and-model-deployment

A complete end-to-end machine learning project that predicts customer churn using the Telco dataset. It includes data preprocessing, exploratory data analysis (EDA), model training with Random Forest, hyperparameter tuning, evaluation, and deployment via a Flask API.

flask numpy pandas python scikit-learn xgboost

Last synced: 02 Apr 2026

https://github.com/huaxiaz/honor_engineering_analysis

This repository is adapt from the course materials for Honors Engineering Analysis at Northwestern University. The course is designed for Engineering first-year undergraduate students to learn about linear algebra and its applications.

complex-numbers complexity degree-distribution echelon-form erdos-renyi-model fractals iterative-methods jacobi-iteration jupyter-notebook linear-algebra markov-chain networkx networkx-tutorial numpy numpy-matrix pagerank-algorithm python random-graphs randomgraph

Last synced: 14 Feb 2026

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

Practical exercises from the Machine Learning course

graphviz matplotlib numpy pandas python scipy sklearn

Last synced: 15 Feb 2026

https://github.com/ul-mds/gecko-data

Example data sources as a starting point for working with Gecko

data-science numpy pandas python record-linkage

Last synced: 16 Apr 2026

https://github.com/bestmahdi2/uni__dataminningstackoverflowproject

A university project related to data mining lesson on StackOverflow website data with Python language

cart csv data-mining logistic-regression matplotlib mlp naive-bayes nltk numpy pandas python scikit-learn scipy seaborn stackoverflow svc textblob tqdm xgboost

Last synced: 16 Feb 2026

https://github.com/rishraks/handsign-ai

HandSign AI is a gesture recognition project using Mediapipe to detect custom hand signs like fist, palm, and V-sign. It automates tasks such as starting/stopping video recording and capturing screenshots, showcasing intuitive, touch-free interactions for various applications like smart devices and accessibility.

mediapipe ml numpy opencv python

Last synced: 16 Apr 2026

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

This repository contains the machine learning models that I have worked on during learning "Machine Learning".

numpy pandas python3 sklearn

Last synced: 16 Apr 2026

https://github.com/khaymanii/diabetes_prediction_model

This is a Machine learning model built using Python

matplotlib numpy pandas python scikit-learn

Last synced: 19 Apr 2026

https://github.com/aryansk/human-counting-system

HumanVision-Detector is a real-time human detection system built with OpenCV and HOG (Histogram of Oriented Gradients) descriptor. The system can detect and count people in both images and video streams, making it suitable for various applications including surveillance, crowd monitoring, and foot traffic analysis.

argparse imutils machine-learning machine-learning-algorithms numpy opencv python

Last synced: 19 Apr 2026

https://github.com/dwarkadhish2005/weather-predictor

Built a model based on collected data which takes various parameters and predicts the weather

classifier matplotlib numpy pandas sklearn xgboost

Last synced: 20 Apr 2026

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: 20 Apr 2026

https://github.com/lostvikx/data-analysis-py

Notes & Code following Python for Data Analysis textbook

data-analytics matplotlib notes numpy pandas

Last synced: 20 Apr 2026

https://github.com/gunjangyl/rainfall_prediction_system

The Rainfall Prediction System is a machine learning-based web application that forecasts rainfall based on weather parameters like precipitation, temperature, and wind speed.

bootstrap css django html javascript jupyter-notebook numpy pandas python

Last synced: 20 Apr 2026