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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/pyladiesams/python-oss-sprints-mar2024
Sprints to contribute to the most popular data and AI Python OSS libraries
conda dask geopandas jupyter matplotlib numpy pandas pymc sklearn
Last synced: 05 May 2026
https://github.com/pramodyasahan/cifar-10-object-recognition
This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.
convolutional-neural-networks numpy python tensorflow
Last synced: 05 May 2026
https://github.com/nomissbowling/nomissbowling.github.io
nomissbowling.github.io
c cplusplus matplotlib numpy pyob python python-cpp-wrapper wrapper wx wxpython
Last synced: 05 May 2026
https://github.com/abdelrahman-amen/neural_style_transfer
This project applies neural style transfer to create new images by merging the content of one image with the artistic style of another.
neuralstyletransfer numpy os python streamlit tensorflow
Last synced: 05 May 2026
https://github.com/dulajkavinda/fashion-classification
👗 classify fashion items using machine learning
added machinelearning matplotlib numpy pandas python scikit
Last synced: 05 May 2026
https://github.com/vi-ssh-al/diamond-price-prediction
matplotlib ml numpy panda seaborn
Last synced: 05 May 2026
https://github.com/debangshu9183/spam-mail-detection
To detect spam mail
logistic-regression machine-learning numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/nxhawk/mln
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
decision-tree-classifier genetic-algorithm jupyter-notebook machine-learning-algorithms numpy pandas sklearn-library
Last synced: 06 May 2026
https://github.com/vikkiezdev/ai-global-index-analysis
This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.
cleaning-data correlation-analysis eda matplotlib numpy pandas python3 seaborn statistical-analysis
Last synced: 06 May 2026
https://github.com/leavers/npblob
Transfer numpy array between Python and JavaScript losslessly
array javascript matrix numpy python streaming typescript
Last synced: 06 May 2026
https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies
This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.
activelearning cuda entropy kldivergence margin numpy python pyto uncertainty
Last synced: 06 May 2026
https://github.com/iama02/vet-medicine-analysis
Analysis of 50,000+ veterinary medicine records with Pandas and NumPy, highlighting dosage forms, manufacturers, indications, and shelf life trends.
Last synced: 06 May 2026
https://github.com/toxe/python-plotting
Python Plotting
matplotlib numpy pandas plotting python
Last synced: 06 May 2026
https://github.com/billgewrgoulas/recommendation-systems
Algorithms for joke rating prediction using the joke data-set from Kaggle.
algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi
Last synced: 06 May 2026
https://github.com/mat-kubiak/manual-ml
DIY ML framework (using only NumPy!) + various demos
artificial-intelligence examples machine-learning ml ml-framework neural-networks numpy
Last synced: 06 May 2026
https://github.com/erick957/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression
🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.
data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python
Last synced: 06 May 2026
https://github.com/abhinav330/customer-behavior-analysis-linear-regression
This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.
data-analysis data-science data-visualization eda exploratory-data-analysis jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms machinelearning-python numpy pandas python regression-analysis
Last synced: 06 May 2026
https://github.com/kunalpisolkar24/gradientdescent
A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.
cost-function gradient-descent numpy visualization
Last synced: 06 May 2026
https://github.com/dm-zhuk/goit-math-python-tests
Mathematics
matplotlib-python numpy pandas scipy
Last synced: 06 May 2026
https://github.com/paulo-santos-ds/llm
Um aplicativo web simples de tradução que converte texto do português para o inglês, construído com Streamlit e Google Translator
deeptranslate googletranslate numpy pyngrok python streamlit
Last synced: 06 May 2026
https://github.com/cycle-sync-ai/student-score-analysis
A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.
clustering clustering-algorithm decision-trees feature-engineering learning-management-system linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas pca pickle prediction prediction-algorithm scikit-learn score seaborn student
Last synced: 06 May 2026
https://github.com/swapnilvishwakarma/twitter_sentiment_dashboard
Using Streamlit and Python, I created interactive data dashboards and used Pandas to manipulate data in data science workflows. I also used Plotly to create interactive graphs.
dashboard machine-learning matplotlib numpy pandas plotly sentiment-analysis streamlit-webapp webapp wordcloud
Last synced: 06 May 2026
https://github.com/dhruwsunita/iphones-eda-analysis
EDA analysis on apple products.
data-analysis data-visualization eda matplotlib numpy pandas plotly python seaborn
Last synced: 06 May 2026
https://github.com/redinfinitypro/python-finance
Rating: (8/10) The code performs a linear regression analysis on stock data using the yfinance library, importing necessary libraries, selecting stock symbols, downloading data, fitting a model, making predictions, and visualizing results.
datetime matplotlib numpy pandas random sklearn yfinance
Last synced: 06 May 2026
https://github.com/jcbritobr/iris-python
Simple data analysis using iris dataset, pandas, numpy, matplotlib and seaborn.
data-science matplotlib numpy pandas python seaborn
Last synced: 06 May 2026
https://github.com/voorhs/ml-practice
ML algorithms implementation
aimasters lomonosov-msu machine-learning numpy python
Last synced: 07 May 2026
https://github.com/thearnavrustagi/cepstral_analysis
audio feature extraction
cepstral-analysis feature-extraction numpy python3 scipy
Last synced: 07 May 2026
https://github.com/amruta33/bike_sharing
Building ML model for Bike sharing
linear-regression matplotlib numpy pandas python3 seaborn
Last synced: 07 May 2026
https://github.com/miss-mhv/retail_strategy_and_analytics
The purpose of this work is to analyze data from a supermarket to better understand the types of customers who buy chips and their buying behavior in the area.
jupyter-notebook numpy pandas python3
Last synced: 07 May 2026
https://github.com/shantanudhanawade/mini-projects
Price prediction with linear regression
matplotlib-python numpy pandas scikit-learn-python
Last synced: 07 May 2026
https://github.com/ayushmankumar7/siamese-network-with-one-shot-learning
Implementation of this paper - https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf
Last synced: 07 May 2026
https://github.com/krishbharadwaj5678/gestureninja
Play Fruit Ninja using just your index finger with real time gesture tracking. No mouse, no keyboard — just your webcam and smooth slicing.
automation computer-vision cvzone finger-tracking fruit-ninja game-development gamedev gesture-recognition hand-tracking mediapipe mouse mouse-control numpy opencv pyautogui python realtime virtualmouse webcam
Last synced: 07 May 2026
https://github.com/ayushpatel2026/stock_predictor
Neural Networks to Predict Stock Prices
data-science flask-api machine-learning neural-network numpy python pytorch
Last synced: 07 May 2026
https://github.com/jimmymugendi/luxdev-week-2-boot-camp
correlation-analysis eda matplotlib numpy pandas seaborn-plots visualizations
Last synced: 07 May 2026
https://github.com/ifimust/room_generator
Room generator service for 2D game levels
flask google-app-engine microservice numpy procedural-generation python
Last synced: 07 May 2026
https://github.com/pocketfullofdata/electric-vehicles-market-size-analysis
This project analyzes the growth, adoption trends, and future projections of the electric vehicle (EV) market. Using data analysis and visualization techniques, it examines key factors like sales trends, and consumer adoption to understand the evolving landscape of the EV industry.
analysis data jupyter-notebook matplotlib numpy python seaborn vscode
Last synced: 07 May 2026
https://github.com/maxencebonamy/ascii-webcam
You can see yourself in real time through characters in a terminal. This project is an enhancement of another project which consists in converting an image to ASCII format, which allows, in a way, to compress it.
ascii numpy opencv python webcam
Last synced: 07 May 2026
https://github.com/christabelsakyi/sentiment_analysis
This project involves analyzing customer reviews to classify them as positive or negative using Logistic Regression. The workflow includes text preprocessing, feature extraction, training a model, making predictions, and evaluating its performance. Dataset
imblearn machine-learning nltk numpy python sklearn
Last synced: 07 May 2026
https://github.com/arnie1x/massive-dataset-lab
This project involves basic data manipulation with JSON files, focusing on tasks related to data processing of the MASSive dataset and file management.
data-science numpy pandas pandas-dataframe python3
Last synced: 07 May 2026
https://github.com/ragnarok540/sympy-tutorial
matplotlib numba numpy scipy simpy
Last synced: 07 May 2026
https://github.com/louisblankemeier/numpytex
Latex script generator that generates an aesthetically appealing table using a numpy array.
latex numpy script-generator table
Last synced: 07 May 2026
https://github.com/manishkr1754/loan_eligibility_prediction_python
Predict Loan Eligibility for a Finance company
bivariate-analysis data-visualization decision-trees evaluation-metrics exploratory-data-analysis feature-engineering hypothesis-generation logistic-regression matplotlib model-building numpy pandas random-forest seaborn sklearn univariate-analysis xgboost
Last synced: 08 May 2026
https://github.com/tinaland101/carcinoma-regression-project
The goal of this project is to analyze and visualize the results of a clinical study involving the treatment of squamous cell carcinoma (SCC) in mice. As a senior data analyst, you are tasked with preparing a technical report for Pymaceuticals, Inc.
linear-regression mathplotlib numpy pandas pyhton
Last synced: 08 May 2026
https://github.com/khushi130404/k_means
This repository showcases 2D, 3D, and custom K-Means clustering models with visualizations. It includes both Jupyter notebooks and Python scripts for ease of reproducibility.
clustering-algorithm k-means-clustering numpy plotly sklearn
Last synced: 08 May 2026
https://github.com/mttgdd/openfabmap-python3
Pybind11 and numpy array bindings to openFABMAP
cpp numpy openfabmap pybind11 python robotics vision
Last synced: 08 May 2026
https://github.com/dhruvil-26/python-projects
This repository contains Python projects showcasing data analysis and visualization. 1. IMDB Movie Analysis: Analyzing movie trends, genres, and ratings. 2. Loan Default Analysis EDA: Exploring factors contributing to loan defaults.
eda imdb-dataset loan-default-analysis matplotlib numpy pandas python seaborn visualization
Last synced: 08 May 2026
https://github.com/prakashjha1/stock-investment-analysis
Stock Investment Analysis Project can help investor to select the better performing stocks.
data-analysis data-science numpy pandas pandas-datareader parallel-programming python
Last synced: 08 May 2026
https://github.com/octavioduarte/datascience
A repository with study notes on Data Science concepts, NumPy, pandas, and an introduction to statistics.
data-science jupyter-notebook numpy pandas
Last synced: 08 May 2026
https://github.com/amiegirl/ford_gobike-tripdata
This data set includes information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 08 May 2026
https://github.com/rohansoni45/ipl-win-predictor
A machine learning model that predicts the outcome of IPL matches based on historical data and player performance. Built using Python and libraries like Pandas, NumPy, and scikit-learn. This project demonstrates the use of classification algorithms to predict match outcomes.
classification data-science ipl machine-learning model-evaluation numpy pandas python sklearn sports-analytics
Last synced: 08 May 2026
https://github.com/hanzopgp/transformerneuralnetwork
Building a transformer with Keras and TensorFlow following tutorial.
artificial-intelligence deep-learning jupyter-notebook machine-learning natural-language-processing numpy personal transformer
Last synced: 08 May 2026
https://github.com/moustafamohamed01/data-analysis-ecommerce-purchases
Data Analysis : Analyzing (Ecommerce Purchases) dataset from Kaggle
jupiter-notebook numpy pandas python
Last synced: 08 May 2026
https://github.com/deepcloudlabs/dcl702-2020-sep-16
DCL-702: Data Analytics using Python
data-analytics numpy pandas python python-3
Last synced: 08 May 2026
https://github.com/sahil210695/numpy-basics
A brief overview of NumPy basics
data-science numpy numpy-tutorial python
Last synced: 08 May 2026
https://github.com/omogbolahan94/movies-budget-revenue-analysis
Data exploration, data cleaning, data analysis and predictive analysis
dataframe linear-regression matplotlib numpy pandas seaborn statistical-analysis
Last synced: 08 May 2026
https://github.com/chdl17/credit-eda-casestudy
Credit EDA is a GitHub repository designed to provide educational materials and tools for exploring credit risk data. The repository contains notebooks, datasets, and code samples to help users learn and apply these concepts to credit data.
exploratory-data-analysis numpy pandas
Last synced: 08 May 2026
https://github.com/mzayles/analise-descritiva.py
Curso Programação em Python para Data Science | Análise descritiva e mensuramento de dados de um report consolidado utilizando matplotlib.
matplotlib numpy pandas python
Last synced: 08 May 2026
https://github.com/icejan/predicton-systems
Various systems that train on data and generate a prediction
lightfm machine-learning numpy python scikit-learn
Last synced: 08 May 2026
https://github.com/ditikrushna/identify-customer-segments
In this project, Bertelsmann partners AZ Direct and Arvato Financial Solutions have provided two datasets one with demographic information about the people of Germany, and one with that same information for customers of a mail-order sales company. I have looked at relationships between demographics features, organized the population into clusters, and saw how prevalent customers are in each of the segments obtained.
clustering clustering-algorithm numpy pca
Last synced: 08 May 2026
https://github.com/shingiraibhengesa/house-price-predictor
A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.
machine-learning-models matplotlib numpy python scikit-learn seaborn
Last synced: 09 May 2026
https://github.com/aliakbar-omidi/ten-most-populous-cities-of-iran
This project is to show the densely populated cities of Iran on the map
basemap matplotlib numpy pandas python
Last synced: 09 May 2026
https://github.com/omogbolahan94/lego-analysis
Analysis of LEGO data from 1949 to 2021.
Last synced: 09 May 2026
https://github.com/dhruvv1402/x-twitter-bot-python
A Python-powered Twitter bot for content generation, analytics, and automation using Twitter API v2.
huggingface-transformers matplotlib nltk numpy pandas pillow python requests schedule textblob threading tweepy twitter-api wordcloud
Last synced: 09 May 2026
https://github.com/tonoy30/emotion-mask
A pytorch model for add face mask based on detected emotion.
emotion-detection numpy opencv-python python pytorch
Last synced: 09 May 2026
https://github.com/omogbolahan94/nobel-prize-winner-analysis
Data exploration, cleaning, visualization and presentation
markdown matplotlib numpy pandas plotly seaborn
Last synced: 09 May 2026
https://github.com/flexthink/matricize
A convenience library to convert between pure Python objects and their vectorized representations
data machine-learning numpy python
Last synced: 09 May 2026
https://github.com/moonshallow5/food_vision_mini
A program which can detect if an image contains either a pizza, sushi or steak: Has now been deployed on Flutter :)
huggingface matplotlib numpy pytorch
Last synced: 09 May 2026
https://github.com/venkat-0706/titanic-survival-prediction
A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.
classification-report confusion-matrix gridsearchcv matplotlib numpy onehot-encoder pandas sckit-learn seaborn train-test-split xgboost
Last synced: 09 May 2026
https://github.com/shaikats/python-assignment
Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.
jupyter-notebook matplotlib numpy python simulation-modeling
Last synced: 09 May 2026
https://github.com/khaymanii/credit-card-fraud-detection-model
This model was built using python and Logistic Regression Machine Learning algorithm
matplotlib numpy pandas python sckit-learn
Last synced: 09 May 2026
https://github.com/abdullah2020/hamoye_stageb
This is my Hamoye Stage B project. The project focuses on Predicting Energy Efficiency of Buildings. It implemented different Machine Learning algorithm technique that are not limited to Linear Regression, LASSO, Ridge etc.
eda lasso-regression linear-regression numpy pandas predictive-modeling regression-models ridge-regression rmse rsquare-values
Last synced: 09 May 2026
https://github.com/sanjurajveer/market_basket_analysis
Finding pattern of bought objects through market basket analysis
apriori-algorithm association-rules numpy pandas python seaborn
Last synced: 09 May 2026
https://github.com/dulajkavinda/numpy-ml
🔢 Calculations with NumPy library.
calculations jupyter-notebook machine-learning matrices numpy numpy-arrays python
Last synced: 09 May 2026
https://github.com/dmalexx/lab1_computervision
Computer Vision Intro
matplotlib matplotlib-python numpy opencv rgb
Last synced: 09 May 2026
https://github.com/vadimkantorov/fasttsv
TSV parser for Python in pure vectorized NumPy code
numpy parsing simd tsv vectorized-code
Last synced: 09 May 2026
https://github.com/alexgustafsson/word-frequencies
Data and tools to compile word frequencies, trigrams and more for use with NLP, spelling correction etc.
language nlp nltk numpy python python3 sklearn spelling-correction trigram
Last synced: 10 May 2026
https://github.com/1adityakadam/computer-vision-approach-for-quality-inspection-of-steel-sheets
Machine Learning and Computer Vision project improves steel defect inspection using computer vision. A segmentation technique partitions steel sheet images into regions, enabling better defect analysis. U-Net is used for segmentation, and MobileNetV2 for classification. Performance is evaluated with the Dice Coefficient.
computer-vision machine-learning numpy pandas unet-image-segmentation
Last synced: 10 May 2026
https://github.com/sahaavi/color-detection
Colour detection is the process of detecting the name of any color. Well, for humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy to detect color names.
color-detection color-detector numpy opencv-python pandas
Last synced: 10 May 2026
https://github.com/jupfu/beck-view-movie
Assemble mp4 video from list of images
multithreading numpy opencv python3 threadpool tqdm
Last synced: 10 May 2026
https://github.com/mahmood-anaam/grid-world-value-iteration
An implementation of the Value Iteration algorithm for solving the Grid World problem. This project provides a function to compute the optimal value function for a grid-based environment where a robot navigates to maximize rewards while avoiding penalties.
dynamic-programming grid-world numpy optimization-problem python value-iteration-algorithm
Last synced: 10 May 2026
https://github.com/florasteve/ml-foundations-day2
Day-2 ML foundations: probability/stats refresh and NumPy logistic regression; notebooks with visuals.
data-science jupyter-notebook logistic-regression machine-learning matplotlib numpy statistics
Last synced: 10 May 2026
https://github.com/shubhansu-kr/int213-python-programming
Python Programming | Semester 3 | Python | OOPS | Tkinter | Pandas | Numpy
lpu numpy oops-in-python pandas python sem3 tkinter-gui
Last synced: 10 May 2026
https://github.com/jatin-s16/neuron_from_scratch
Hey! I am learning to build neural networks from scratch without the use of built-in Python libraries.
deep-learning neural-networks nnfs numpy python
Last synced: 10 May 2026
https://github.com/susanketsarkar/nn-from-scratch
A pure NumPy implementation of a deep neural network, built for educational purposes and deep learning understanding. This project implements a multi-layer neural network with various features commonly found in modern deep learning frameworks.
deep-learning implementation-of-algorithms neural-network numpy python
Last synced: 10 May 2026
https://github.com/shriansh2002/stock-prediction
This project predicts Apple stock prices using linear regression. It's based on historical stock price data and uses Python and popular data science libraries like Pandas, NumPy, Matplotlib, and scikit-learn.
apple datascience finance linearregression machinelearning matplotlib ml numpy pandas prediction python scikitlearn stock-prediction stockmarket
Last synced: 10 May 2026
https://github.com/iamfarrokhnejad/neural-network
A simple neural network without reliance on any NN library.
classification matplotlib mnist mnist-classification mnist-dataset mnist-handwriting-recognition neural-network neural-networks neuralnetwork neuralnetworks numpy pandas python
Last synced: 11 May 2026
https://github.com/baschin1103/machine-learning-linear-regression-tsi
The model is the multiple linear regression loaded from scikit-learn. The aim is to create a model to forecast the so called Total-Skill-Index (TSI) of a player from hattrick.org. More information on: https://wiki.hattrick.org/wiki/Total_Skill_Index. In this repository is the programm and necessary data.
csv linear-regression machine-learning numpy pandas python statistics
Last synced: 11 May 2026
https://github.com/omogbolahan94/google-play-store-app-analysis
Data exploration, data cleaning, interactive data visualisation and insight presentation
matplotlib numpy pandas plotly
Last synced: 11 May 2026
https://github.com/diogoribeiro7/vortex2d
2D vortex particle method (Gaussian-core) with RK4, viscosity, plots, animations
cfd matplotlib numpy python simulation vortex-method
Last synced: 12 May 2026
https://github.com/asuquoaa/big_4_sports_teams_and_city_population_analysis-2018-
Analysis of sports teams' win/loss ratios vs. metro area populations across NFL, NBA, MLB, and NHL.
data-cleaning-and-preprocessing numpy pandas
Last synced: 13 May 2026
https://github.com/goessl/complex-random
A package for the most basic complex random sampling.
complex complex-numbers complex-plane normal-distribution numpy pip python random random-number-generator uniform-distribution unit-circle
Last synced: 15 Jun 2026
https://github.com/pnguyen215/pycelize
Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.
excel lib numpy openpyxl pandas py-app pycelize python-service python3
Last synced: 17 Jun 2026
https://github.com/dino-kupinic/pocolocosolver
algorithmic solution with 3D visualization
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Last synced: 19 Jun 2026
https://github.com/jayemscript/lab-to-code
A complete Python learning roadmap for scientists and researchers — covering data science, biology, chemistry, physics, and mathematics with curated libraries, tools, and resources.
bioinformatics chemistry data-science jupyter-notebook machine-learning mathematics numpy pandas physics python research roadmap scientific-computing scikit-learn
Last synced: 19 Jun 2026
https://github.com/harshavardhanbommalata/knn_tutorial
K-Nearest Neighbors (KNN) is a simple yet powerful machine learning algorithm. Unlike models that learn parameters during training, KNN uses lazy learning—it stores the dataset and predicts by finding the closest neighbors, making decisions through majority voting.
machine-learning-algorithms mathematical-modelling matplotlib numpy pandas
Last synced: 20 Jun 2026
https://github.com/thanhloc81/rfm-model-project
✨ Build a flow to deploy Segmentation evaluation through Python programming.
customer-segmentation numpy pandas python rfm-analysis
Last synced: 03 May 2026
https://github.com/somenath203/loan-status-prediction-backend
Click below to visit the swagger docs of the website
fastapi jupyter-notebook loan-prediction-analysis numpy pandas randomforestclassifier render scikit-learn
Last synced: 10 Apr 2026