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/animesh-ghosh/summer-training
Work done during Summer Training with OSAHub.
anaconda jupyter-notebook machine-learning numpy pandas python3 scikit-learn
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Group project for making hydrostatic curves from the given ship offset table using python libraries
data-visualization matplotlib-pyplot numpy python3 sklearn
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https://github.com/dhruvv1402/ai-based-realtime-hand-detection-using-opencv-and-mediapipe
A real-time AI system for detecting and tracking hands using Python, OpenCV, and Mediapipe. This project demonstrates how to identify hand landmarks and extract gesture data for further applications like gesture control, sign language interpretation, and more.
mediapipe numpy opencv os python python3 time
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https://github.com/rekha0suthar/e-commerce-shopper-s-behaviour-understanding
Understand the online shopper purchasing pattern through Machine learning
data-analysis data-preprocessing data-visualization logistic-regression machine-learning numpy pandas python3 scikit-learn seaborn-plots
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https://github.com/alibowndyn/flickerforge
A customizable image and GIF generator mimicking old television static, offering control over colors, blur, dimensions, pixel size, and many more.
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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
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anaconda git jupyter-notebook matplotlib numpy pandas python saas-data sales-data sales-data-analysis-project seaborn
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https://github.com/gandhasiri-rahul-mohan/random-forests-q2-company_data
About the data: Let’s consider a Company dataset with around 10 variables and 400 records.
data-science machine-learning numpy pandas python random-forest seaborn-plots
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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
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https://github.com/uhstray-io/pyrizon
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api data-engineering etl numpy pandas plotly python pytorch raw-data scikit-learn seaborne sql sqlite tensorflow
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exploratory-data-analysis machine-learning matplotlib numpy pandas python seaborn streamlit
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https://github.com/lolosoares/dataanalises
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acces data-science dax excel mysql numpy pandas powerbi powerquery python r seaborn sql vba
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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
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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
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knn logistic-regression matplotlib numpy pandas python3 random-forest scikit-learn seaborn
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https://github.com/hansalemaos/cythonfastsort
C++ parallel sorting algorithms through Cython - up to 8 times faster than NumPy
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https://github.com/KernFerm/PresFutImpactSim
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https://github.com/nirmalyabag20/diabetes-prediction-using-machine-learning
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This repository is objected to have all the assignments and project related to IWT (Semester - 3).
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Explore fundamental linear algebra concepts essential for machine learning in this repository, with code examples and explanations. Get a solid foundation for ML!
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Experience a state-of-the-art Django web application designed to predict product backorders with exceptional accuracy. This platform leverages advanced machine learning techniques, incorporating pre-trained Random Forest Classifier, Decision Tree, and LGBM models.
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The main goal of this project was to apply the concepts of data visualization and analysis.
data-analysis data-science numpy pandas python
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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.
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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.
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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
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https://github.com/indhra/helloworld
1.Numpy tutorial
numpy numpy-arrays numpy-tutorial python3
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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
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https://github.com/datarohit/nlp-course-files
The files in this Repo are files for the online NLP-Course from Udemy.com which I completed.
nlp nlp-machine-learning nltk numpy panda python sklearn spacy
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cnn-classification cnn-keras inceptionv3 keras-tensorflow matplotlib numpy
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https://github.com/nomadsdev/pulse-detect
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numpy pulse-detect pyaudio python scipy
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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/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
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https://github.com/abtaaahi/smartxi
SmartXI — A Streamlit app to recommend football teams based on budget, formation, and style, plus predict player market values using machine learning models. Easy setup and interactive visualizations included.
machine-learning machine-learning-algorithms numpy pandas plotly python random-forest streamlit
Last synced: 13 Apr 2026
https://github.com/manjillama/machine-learning-101
Introduction to machine learning, conda environment, Jupyter Notebook, Pandas, NumPy and Matplotlib.
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https://github.com/elhariri78/case-study-a-better-smoker-detector
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a repository for collaborative development and version control using Git that houses Python code files, documentation, tests, and other project-related files.
algorithms data-structures django fastapi flask machine-learning numpy pandas python
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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
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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/nitsc/spell-from-threebodytrilogy
Implemented the process of extrapolating from Gaia stellar data, to 3D visualizations, to three-views, to three-view signals, to three-view audio of signals, and even their inversions. This project proves the feasibility of the Logic (Luoji)'s “spell” from “The Three Body Problem” trilogy.
3d 3d-graphics astronomy astronomy-astrophysics audio audio-processing data data-science data-visualization gaia graph information-technology information-visualization numpy python python-3 python3 signal signal-processing visiualization
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https://github.com/raduldev/gromacs
Molecular Dynamics Simulation using GROMACS in Jupyter notebook
bash gromacs matplotlib molecular-dynamics-simulation numpy pandas python3 shell
Last synced: 09 Apr 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
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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
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https://github.com/rahulvictor12/the-movie-database-data-scrapper
A Python web scraper that collects movie data from The Movie Database (TMDB). It uses `requests`, `BeautifulSoup`, and `pandas` to extract titles, ratings, genres, and cast details from multiple pages. The data is structured into DataFrames and saved as a CSV, perfect for analysis or integration into projects.
beautifulsoup colab-notebook dataframes numpy pandas python requests testing webscraping
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https://github.com/tasninanika/mammographic-masses-analysis-dt
This project uses a Decision Tree Classifier to predict whether a detected mammographic mass is benign (0) or malignant (1) based on input features.
decision-tree-classifier numpy pandas pyhton3 scikit-learn
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https://github.com/savitar-hub/image-classification
Notebooks on how image classification can help businesses make better decisions and improve the customer experience.
image-classification image-processing jupyter-notebook numpy opencv pandas pytorch tensorflow
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https://github.com/coqui123/tradegpt
TradeGPT is a full-stack cryptocurrency trading application that combines a modern Fresh (Deno) frontend with a Python (FASTAPI) backend for Coinbase integration and Azure AI Services for intelligent trading analysis. 💹
analytics automation cryptocurrency data deno fastapi fresh numpy python trading-algorithms trading-strategies tradingbot typescript
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text generation stopword
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curve-fitting minimisation numpy optimisation python scipy
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https://github.com/shanmukhsrisaivedullapalli/smsspamclassification
SMSSpamClassification is a machine learning project aimed at accurately classifying SMS messages as either spam or ham (non-spam). It employs natural language processing techniques to extract relevant features from the text data and utilizes various classification algorithms to build a robust spam detection model.
jupyter-notebook numpy pandas pickle python3 sklearn spam-classification spam-detection
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https://github.com/guptaachin/titanic-data-analysis
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https://github.com/urme-b/multimodal-multisensor
Longitudinal neurophysiological study of adult psychometric testing.
keras matplotlib numpy pandas python pytorch scikit-learn seaborn tensorflow
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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/faisal-khann/diwali-sales-analysis
The "Diwali Sales Analysis" project aims to analyze the sales data during the Diwali festival period to uncover insights and trends that can help improve marketing strategies and sales performance in the future
csv data-analysis eda jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/kientech/calories-burnt-prediction-with-machine-learning
The Calories Burnt Prediction with Machine Learning project aims to predict the number of calories burned during physical activities based on various factors such as duration, activity type, age, weight, and more.
fastapi heroku machine-learning matplotlib-pyplot modeling numpy pandas python reactjs tailwindcss
Last synced: 02 Aug 2025
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/narenkhatwani/arkouda-projects
This repository contains the source codes of the projects done using Arkouda (a software package that allows a user to interactively issue massive parallel computations on distributed data using functions and syntax that mimic NumPy, the underlying computational library used in most Python data science workflows.)
arkouda data-analysis data-analytics data-science high-performance high-performance-computing highperformancecomputing numpy pandas parallel-computing parallel-processing parallelization python
Last synced: 17 Apr 2026
https://github.com/zion-dev1/e-commerce-analysis
Short machine learning project which analyses customer behaviour 🔎
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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/vortexv7/engagevision-yt
Thumbnail Engager is a Streamlit-based web app that uses AI to analyze YouTube thumbnails, providing actionable feedback to improve engagement. Upload a thumbnail to get insights on its strengths, weaknesses, and tips for maximizing views. Perfect for creators looking to optimize their visuals!
gcp numpy pandas python3 streamlit streamlit-cloud tensorflow youtubeapiv3
Last synced: 09 Apr 2026
https://github.com/docsallover/spam-detection
Building a Spam Filter with Python: Using Machine Learning to Combat Spam
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Last synced: 09 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/shivendrra/Seeker
This project will help to write new scripts for YouTube videos from scratch using fine-tuned Llama-7B
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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/m-rishab/housing-price-prediction
The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.
gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn
Last synced: 11 Apr 2026
https://github.com/rkarahul/machinelearning
This is for my all machine learning code
analysis computer-vision matplotlib mysql nlp numpy pandas python
Last synced: 11 Apr 2026
https://github.com/willprice/arsenal
Personal arsenal of python utilities
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Last synced: 09 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/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/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: 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/paulo-santos-ds/rotatividade_de_clientes
A operadora de comunicações InternetGO está interessada em prever a rotatividade de seus clientes (churn). Se for identificado que um usuário está planejando trocar de operadora, a empresa poderá oferecer códigos promocionais e opções de planos especiais para evitar a perda desse cliente.
catboost numpy pandas pyplot python seaborn sklearn
Last synced: 09 Apr 2026
https://github.com/gaurangdave/house_price_predictions
Machine Learning Application to predict House Prices
hands-on learning-by-doing machine-learning numpy pandas python scikit-learn
Last synced: 11 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/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/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
