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.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/pandeyankit123/books-recommender-system-using-machine-learning
This is a streamlit web application that can recommend various kinds of similar books based on an user interest.
jupyter-notebook machine-learning numpy pandas pickle python streamlit
Last synced: 12 Apr 2026
https://github.com/nemeslaszlo/lending-club-analysis
Lending Club analysis, with a model that can predict whether or nor a borrower will pay back their loan.
binary-classification classification data-visualization keras matplotlib numpy pandas seaborn tensorflow
Last synced: 12 Apr 2026
https://github.com/m-faizan-mahmood/house-price-prediction-machine-learning-model
Implemented a Multiple Linear Regression model to predict house prices based on square footage, number of bedrooms, and age of the house.
artificial-intelligence data-analysis data-science data-visualization machine-learning machine-learning-algorithms matplotlib neural-network numpy pandas predictive-modeling python regression-models seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/codehass/facial-emotional-detection
Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.
cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow
Last synced: 12 Apr 2026
https://github.com/satvikpraveen/fashionmnist-analysis
A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.
computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg
Last synced: 22 Apr 2025
https://github.com/osx-rsplug-a/py_studies
Python studies
math matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/nikita-data/unit_economics_projects
unit economics & cohort analysis projects
cac churn-rate conversion create-function data-analysis data-visualization eda hypothesis-testing ltv math matplotlib numpy python retention-rate roi scipy seaborn segmentation statistics unit-economics
Last synced: 06 Jan 2026
https://github.com/nikita-data/eda_projects
Exploratory data analysis projects
cac data-analysis data-visualization eda folium-maps hypothesis-testing ltv math matplotlib numpy plotly python regular roi scipy seaborn segmentation statistics unit-economics
Last synced: 06 Jan 2026
https://github.com/moinak-majumdar/fake-currency-detection
Indian fake currency detecting mobile application.
cnn deep-learning flutter getx keras machine-learning mobile-app neural-network numpy random-forest scikit-learn support-vector-machines tensorflow
Last synced: 12 Apr 2026
https://github.com/serratotech/python3-for-finance
Investment fundamentals & data analytics exercises
anaconda conda data-analytics finance ipynb jupyter-notebook numpy pandas python python3 python35
Last synced: 12 Apr 2026
https://github.com/ayuhamaro/py_weight_estimation
體重變化預估
matplotlib numpy pandas python3 scikit-learn scipy
Last synced: 12 Apr 2026
https://github.com/lasithaamarasinghe/movie-recommender-system
This ML model recommends movies that may align with the user's preferences based on TF-IDF matrix.
jupyter-notebook machine-learning movie-recommendation movielens-dataset numpy pandas python regex scikit-learn tf-idf-vectorizer
Last synced: 12 Apr 2026
https://github.com/en10/bostonhousing
Boston Housing Dataset Example
boston-housing-dataset boston-housing-price-prediction matplotlib numpy pandas pandas-dataframe python python3 sklearn
Last synced: 12 Apr 2026
https://github.com/aahnik/gdsc-ml-ds-bootcamp-2023
This repo contains files given by my seniors as well as assignments and final project done by me during the bootcamp.
data-science machine-learning ml numpy pandas python3 scikit-learn
Last synced: 28 Oct 2025
https://github.com/hansalemaos/cythonfastsort
C++ parallel sorting algorithms through Cython - up to 8 times faster than NumPy
c cpp cython numpy parallel-computing parallel-programming python sorting
Last synced: 04 Feb 2026
https://github.com/parawanderer/quantumcircuitdesigner
Interactive quantum circuit simulator
diagrams-as-code mathematics numpy quantum-computing tkinter-gui
Last synced: 29 May 2026
https://github.com/mgobeaalcoba/linear_algebra_for_machine_learning
Explore fundamental linear algebra concepts essential for machine learning in this repository, with code examples and explanations. Get a solid foundation for ML!
machine-learning matplotlib numpy pandas python3 scikit-learn scipy seaborn
Last synced: 12 Apr 2026
https://github.com/Willie-Conway/Data-Science-Tools-and-Ecosystem
🧠 Explore essential Data Science 🧪 tools, 🧰 libraries, and 🐍 Python arithmetic basics — perfect for beginners!
data-science jupyter keras notebooks numpy pandas python pytorch
Last synced: 12 Jun 2025
https://github.com/hansalemaos/cythonnestednumpy
performs sorting and grouping operations on multidimensional NumPy arrays using Cython and hash-based algorithms.
Last synced: 07 Jan 2026
https://github.com/antonio-f/building_a_recurrent_neural_network_step_by_step
Building a Recurrent Neural Network Step by Step
coursera deep-learning long-short-term-memory lstm numpy recurrent-neural-networks rnn step-by-step tutorial
Last synced: 30 Mar 2025
https://github.com/anish202020/real-time-emotion-face-detection
The primary purpose of this website is to detect emotions in real-time using facial expressions captured via a camera.
fer keras numpy opencv python streamlit tensorflow
Last synced: 12 Apr 2026
https://github.com/yas-sim/python-dpcpp-extension-sample-code
Python extension sample code using Intel oneAPI DPC++. The extension does a simple image processing using DPC++ kernel.
box-filter convolution-filter dpcpp gpu-acceleration gpu-programming heterogeneous heterogeneous-parallel-programming image-processing numpy numpy-capi oneapi opencl python python-extension sample-code sycl
Last synced: 13 Apr 2026
https://github.com/danhenriquex/data-science-project
The main goal of this project was to apply the concepts of data visualization and analysis.
data-analysis data-science numpy pandas python
Last synced: 12 Apr 2026
https://github.com/esvs2202/credit-card-fraud-detection-system
This fraud detection system is powered by a Machine Learning model, which accurately identifies whether an initiated transaction is fraudulent.
azurewebapp flask gunicorn-web-server html-css machine-learning matplotlib-pyplot numpy pandas powerbi python3 randomforestclassifier seaborn
Last synced: 12 Apr 2026
https://github.com/bunu23/image-classification-resnet50-streamlit
This project demonstrates an image classification system using ResNet50, fine-tuned on a custom dataset. It includes a Streamlit application for user interaction, allowing image uploads and classification results. It integrates Google's generative AI models for enhanced analysis.
cnn deep-learning generative-ai keras matplotlib numpy pillow python resnet-50 streamlit tensorflow
Last synced: 07 Apr 2026
https://github.com/shahinuralambhuiyan/learning-ml
Start learning Machine Learning basic from CodeBasics Channel
anaconda jupyter-notebook kaggle-dataset matplotlib numpy pandas pip python
Last synced: 12 Apr 2026
https://github.com/anish202020/weather_prediction_model_21int68_internship
Predicts weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.
keras-neural-networks keras-tensorflow matplotlib numpy pandas sklearn
Last synced: 12 Apr 2026
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: 07 May 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: 12 Apr 2026
https://github.com/kavayk29/quora-duplicate-question-pair
This project improves information retrieval by detecting duplicate question pairs in the Quora dataset using data exploration, text preprocessing, feature engineering, and models like Random Forest and LSTM, aiming to streamline question-answering.
beautifulsoup4 bilstm gensim keras lstm matplotlib numpy pandas pytorch random-forest seaborn sklearn tensorflow xgboost
Last synced: 21 Jan 2026
https://github.com/dhruvsrikanth/pynn
Purely NumPy based API for building deep neural networks.
deep-learning deep-learning-framework machine-learning numpy python pytorch
Last synced: 09 May 2026
https://github.com/datarohit/imdb-reviews-sentiment-analysis
This is a NLP - Sentiment Analysis Project built using Bernoulli-Naive-Bayes Algorithm to Predict is the IMDB Movie Review is Positive or Negative.
bernoulli-naive-bayes classification count-vectorizer multinomial-naive-bayes nltk numpy pandas porter-stemmer regex sentiment-analysis sklearn
Last synced: 29 Apr 2026
https://github.com/felixsoderstrom/perceptron-for-ocr
Training an AI model to recognize handwritten digits
ai backpropagation machine-learning neural-network numpy pytorch
Last synced: 23 Apr 2025
https://github.com/nomadsdev/pulse-detect
PulseDetect is a Python tool that detects audio frequencies in real-time. It captures sound from the microphone and identifies the dominant frequency using pyaudio and numpy
numpy pulse-detect pyaudio python scipy
Last synced: 07 Jan 2026
https://github.com/mohidex/analyze-movie-rating
Analyzing the distributions of IMDB and Metacritic movie ratings to see if we find anything interesting. To do this, first scrape data for over 2000 movies from imdb website.
beautifulsoup4 jupyter-notebook matplotlib numpy pandas python3 requests webscraping
Last synced: 20 Apr 2026
https://github.com/pranav-bot/ml-dl-models-from-scratch
This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations
deep-learning descion-tree from-scratch linear-regression logistic-regression machine-learning naive-bayes neural-networks numpy perceptron pytorch qlearning random-forest regression reinforcement-learning support-vector-machines svm
Last synced: 15 Apr 2026
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: 13 Apr 2026
https://github.com/iBz-04/DiabetesCL
Predicting instances of diabetic & non-diabetic patients with Support vector machine classifier
data-science diabetes-prediction google-colab-notebook machine-learning machine-learning-projects medical-informatics numpy pandas-python python3 sckiit-learn svm-classifier
Last synced: 21 Oct 2025
https://github.com/nazli-d/binary-classification-using-cnn
This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.
binary-classification cat-and-dog-classifier cnn convolutional-neural-networks flatten keras max-pooling numpy opencv python relu-activation sigmoid-function tensorflow
Last synced: 13 Apr 2026
https://github.com/manjillama/machine-learning-101
Introduction to machine learning, conda environment, Jupyter Notebook, Pandas, NumPy and Matplotlib.
conda-environment jupyter-notebook machine-learning matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/vvipjain/stock-trend-analysis
Stock Trend Analysis
matplotlib numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library pandas-python pyhton3 python seaborn
Last synced: 13 Apr 2026
https://github.com/nemeslaszlo/dog_breed_identification
Dog breed identification model to identify and label 120 different dog breeds.
matplotlib numpy pandas tensorflow tensorflow-hub
Last synced: 13 Apr 2026
https://github.com/lironmiz/machine-learning-specialization-course
Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
artificial-neural-networks clustering coursera decision-trees deep-reinforcement-learning gradient-descent linear-regression logistic-regression logistic-regression-classifier machine-learning ml-models numpy project recommender-system regularization-methods scikitlearn-machine-learning supervised-learning tensorflow tree-ensembles xgboost
Last synced: 03 May 2026
https://github.com/gitfrandu4/40982-p1
Repositorio de la Práctica 1 en Visión por Computador, explorando el uso de OpenCV para crear imágenes artísticas, manipular píxeles y capturar video. Incluye ejercicios como diseño de un tablero de ajedrez, estilo Mondrian, y un efecto “Pop Art” con la cámara web.
computer-vision image-processing mondrian-style numpy opencv pop-art python visual-art webcam-capture
Last synced: 09 Apr 2026
https://github.com/dantasl/probabilidade-analise
Análise sobre o desempenho dos discentes na disciplina Resolução de Problemas Matemáticos Para Tecnologia da Informação (RPMTI) nos semestres de 2015.2, 2016.1 e 2016.2
data-science numpy pandas probability
Last synced: 13 Apr 2026
https://github.com/jigyasag18/gold-price-prediction-project-using-machine-learning
This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics
data dataset jupyter-notebook jupyter-notebooks machine-learning machinelearing machinelearningalgorithms machinelearningmodel machinelearningprojects matplotlib mlproject numpy pandas randomforestregressor seaborn
Last synced: 23 Jul 2025
https://github.com/aryansingla45/image-classification-project
A Deep Learning Model which classifies Cats and Dogs.
artificial-neural-networks convolutional-neural-networks deep-learning keras machine-learning numpy pandas python tensorflow
Last synced: 13 Apr 2026
https://github.com/anandarauf/wifu-detection
Machine Learning Wifu Detection from Dataset Anime and Manga
anime data-science dicoding dicoding-submission machine-learning machinelearning manga numpy object-detection pandas pandas-python python3 sklearn tensorflow waifu waifu-detection
Last synced: 13 Apr 2026
https://github.com/amorehead/ml-fundamentals
A self-educational series of Python scripts made to explore the vast library of machine learning knowledge.
machine-learning numpy pandas python scipy sentdex tensorflow tflearn
Last synced: 13 Apr 2026
https://github.com/epsoft/text-generation-stopword
text generation stopword
datasets generation nltk nltk-library nltk-python numpy re stopword text wordnet wordnet-library
Last synced: 15 May 2026
https://github.com/epsoft/transfer-learning
Transfer Learning
numpy seaborn tensorflow transfer-learning
Last synced: 06 May 2026
https://github.com/sebsikora/curve_fitting
A short guide to using Python tools to perform arbitrary curve-fitting of research data via constrained minimisation.
curve-fitting minimisation numpy optimisation python scipy
Last synced: 13 Apr 2026
https://github.com/guptaachin/titanic-data-analysis
This is analysis and modelling of the famous Titanic Data Set from Kaggle.
dataanalytics datamining datascience machinelearning numpy pandas python scikit-learn structuredpyramidanalysisplan tableau tableau-desktop
Last synced: 13 Apr 2026
https://github.com/bobzheng00/medscan-mentor
MediScan Mentor is an innovative application designed to assist medical students in interpreting CT scans.
artificial-intelligence brain-diseases colab-notebook ct-scans deep-learning education machine-learning medical-ai-project medical-imaging mongodb numpy object-detection openai pandas pubmed python pytorch rag streamlit yolov5
Last synced: 17 Jul 2025
https://github.com/urme-b/multimodal-multisensor
Longitudinal neurophysiological study of adult psychometric testing.
keras matplotlib numpy pandas python pytorch scikit-learn seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/moeeinaali/ce282-la
Solutions to Dr. Rabiee's CE282: Linear Algebra Course (Sharif University of Technology - Spring 2024)
linear-algebra matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/harmanveer-2546/dust-detection-on-solar-panel-using
The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.
classification dirty inceptionv3-model keras numpy pandas plotly python regularizer sequential solar-panels tensorflow visualization
Last synced: 13 Apr 2026
https://github.com/aymen016/emotion-recognition-using-face-detection
A deep learning-based project that detects human faces and predicts their emotions in real-time using OpenCV and a trained neural network model.
gpu-acceleration haar-cascade-classifier keras-tensorflow matplotlib numpy opencv python
Last synced: 13 Apr 2026
https://github.com/jaypanchal9/spotless-data
Spotless Data: A Python-based workflow using Jupyter Notebooks for efficient data cleaning, preprocessing, handling missing values, correcting outliers, and integrating external datasets ideal for quick, reliable, and clean data preparation.
data-cleaning data-preprocessing data-wrangling matplotlib numpy pandas python3
Last synced: 13 Apr 2026
https://github.com/vidhi1290/hr_employee_prediction
"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.
data-exploration data-science data-visualization docker hr-employee-prediction hyperparameter-tuning machine-learning matplot model-building numpy pandas scikit-learn seaborn streamlit streamlit-webapp
Last synced: 13 Apr 2026
https://github.com/gauranshgoel123/predictive-demand-analysis
Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend
chartjs data-analysis data-science data-visualization dataset deployment full-stack machine-learning numpy pandas predictive-analysis prophet-model python reactjs render
Last synced: 13 Apr 2026
https://github.com/screamman-ssh/facemousecontrol
This project is about using your nose tip for the mouse's cursor and open your mouth for the left click.
autopy computer-vision face-detection mediapipe-facemesh mouse numpy opencv python python-3-7 ui
Last synced: 13 Apr 2026
https://github.com/harmanveer-2546/supply-chain
Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.
customer-segmentation-analysis data data-analysis data-cleaning data-insights ggplot2 numpy pandas performance-evaluation predictive-analytics-for-business python risk-assessment sales-analysis statistical-analysis supply-chain tidyverse trend-analysis
Last synced: 10 Apr 2026
https://github.com/aahad91/idv
Interactive Data Visualization - Master Course
matplotlib numpy pandas plotly python3
Last synced: 08 May 2026
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/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/moindalvs/simple_linear_regression_1
Predicting Delivery Time Using Sorting Time
aic bic data-transformation f-statistics likelihood log-transformation matplotlib numpy ols-regression ordinary-least-squares pandas-dataframe pandas-library prediction predictive-modeling residuals rmse-score simple-linear-regression sklearn sklearn-library
Last synced: 17 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/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/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/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.
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/sorna-fast/car-price-prediction-exercise-with-regression-model
Car price forecasting with one-variable, two-variable, three-variable, lasso, ridge, and elastic regression models
elastic-net grid-search-hyperparameters jupyter-notebook lasso-regression matplotlib numpy pandas pandas-dataframe pandas-python plotly regression regression-models ridge-regression
Last synced: 16 Mar 2025
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/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/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/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
