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/bbergerud/tenops
Creating a common interface for numpy, pytorch, tensorflow, etc.
Last synced: 20 Jan 2026
https://github.com/hamishivi/denserflow
A basic numpy neural net library. This achieved high marks in a uni assignment!
deep-learning neural-network numpy
Last synced: 18 May 2026
https://github.com/sanjanahombal/study-on-sentiment-analysis
This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.
bag-of-words confusionmatrix googlecollab gridsearch-crossvalidation matplotlib-pyplot naive-bayes-classifier numpy pandas seaborn sklearn svm-classifier tfidf-vectorizer
Last synced: 07 Jan 2026
https://github.com/yash22222/analysis-of-amcat-aspiring-minds
Analyzing employment outcomes for engineering graduates based on a provided dataset. Specifically, it aims to verify a claim regarding the salary range for fresh graduates in certain engineering roles and investigate potential relationships between gender and specialization preferences.
amcat aspiring-minds charts computer-engineering data-analytics data-vizualisation dataset graph machine-learning matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/kr1shnasomani/facetronix
A toolkit for face detection, annotation, and mask recognition.
computer-vision deep-learning keras neural-network numpy opencv tensorflow
Last synced: 05 Apr 2026
https://github.com/muhkartal/fr-framework
A modular and extensible face recognition framework featuring real-time detection, facial landmark analysis, and recognition with API support.
dlib face-recognition fastapi numpy opencv pillow pydantic python-multipart requests scipy uvicorn
Last synced: 13 Apr 2026
https://github.com/raminbadri/machine-learning-with-python
This where I will upload all my machine learning projects and samples
classification clustering data-science jupyter-notebook machine-learning matplotlib numpy pandas python3 regreession scikit-learn
Last synced: 12 Apr 2026
https://github.com/sudarshanc00/brain-tumor-classification
This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.
matplotlib numpy pytorch resnet scikit-learn streamlit
Last synced: 10 Apr 2026
https://github.com/firewind25/gdp-data-extraction-and-processing
Data Extraction from a web resource using Web-Scraping and request APIs. Processed it using Pandas and NumPy libraries. Finally exporting it to csv file for further analysis
numpy pandas python webscraping
Last synced: 12 Jul 2025
https://github.com/pramodyasahan/custom-image-classification-model
This repository hosts a TensorFlow-based custom image classification model. The model is designed to classify images into binary classes, labeled as 'Happy' and 'Sad'.
computer-vision convolutional-neural-networks cv2 keras matplotlib numpy tensorflow
Last synced: 11 Apr 2026
https://github.com/sagravela/plotground
Plotting Tool with Matplotlib and Tkinter. Video Demo:
matplotlib numpy python tkinter
Last synced: 19 May 2026
https://github.com/ahmedabdalkreem/preprocessing
All you need to be dataset ready to work in model without any Noise.
Last synced: 07 Apr 2026
https://github.com/abideen-olawuwo/loan
A loan prediction modes
adaboostclassifier catboost-classifier gaussian knearest-neighbor-algorithm linear-svc logistic-regression matplotlib naive-bayes-classifier numpy pandas sklearn xgboost
Last synced: 10 Apr 2026
https://github.com/abhijeet107/household-transactions-analysis-report
This project analyzes household financial transactions spanning from 2015 to 2018, focusing on income, expenses, net savings, and spending patterns across categories and modes of payment.
matplotlib numpy pandas powerbi python seborn
Last synced: 11 Apr 2026
https://github.com/yash-rewalia/airline-passeneger-recommendations-classification
The primary objective is to deploy a robust classifier model that accurately predicts user recommendations, empowering airlines to strategize effectively, understand user behavior, optimize services, and align business strategies with financial objectives.
decsion-tree hypothesis-testing knn machine-learning numpy pandas python random-forest-classifier svm-classifier
Last synced: 07 Apr 2026
https://github.com/makiato1999/strokepredict-datascience
McMaster University CSE780 Project
multilayer-perceptron-network numpy pandas random-forest-classifier scikit-learn
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https://github.com/manishbisht/machine-learning
Machine Learning
data-analysis data-mining machine-learning machine-learning-algorithms machinelearning numpy pandas python
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https://github.com/ireneflorez/e_commerce_a_b_test_analysis
website A/B test data analysis
data-analysis jupyter-notebook matplotlib numpy pandas python statsmodels
Last synced: 14 Apr 2026
https://github.com/addleonel/unitrevpy
This contains common conversions such as units convert of length, temperature, area, volume, time, and weight.
common-conversions numpy python3
Last synced: 05 Mar 2026
https://github.com/pkx8326/blackjack-weighted-random-choices-visualization-with-numpy-and-python
This is a small project to test and visualize the result of the weighted probability capability of Python's numpy.random.choice()
blackjack blackjack-game choice jupyter-notebook numpy python random weighted-probability weighted-random
Last synced: 04 May 2026
https://github.com/kartmaan/fire-simulation
A realistic simulation of fire propagation using thermodynamic and combustion principles, developed in Python with Pygame and NumPy
combustion combustion-models fire fire-simulation heat-transfer ignition materials materials-science numpy pygame simulation thermal-capacity thermal-conductivity
Last synced: 19 Aug 2025
https://github.com/abideen-olawuwo/spam-detection
A spam detection model
matplotlib nltk numpy pandas seaborn
Last synced: 29 Apr 2026
https://github.com/kaka-lin/audio-analysis-tools
Audio tools for audio processing and audio analysis
audio-analysis audio-tools matplotlib numpy scipy
Last synced: 22 Jul 2025
https://github.com/kientech/breast-cancer-classification-using-machine-learning
The goal is to leverage data-driven models to assist in the early detection and diagnosis of breast cancer, potentially aiding healthcare professionals in making informed decisions
data-science machine-learning numpy pandas python3 scikitlearn-machine-learning seaborn
Last synced: 22 Mar 2025
https://github.com/offthetab/gans
Just testing out different GAN models
gans matplotlib numpy seaborn torch torchvision
Last synced: 19 May 2026
https://github.com/carlescn/snake_game
An implementation of the classic Snake game using Pygame and NumPy.
numpy pygame python snake-game
Last synced: 15 Apr 2026
https://github.com/fwcd/minq
Tiny quantum gate library based on NumPy
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Last synced: 02 Jan 2026
https://github.com/a-poor/qgates
Small helper library for working with quantum matrices
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Last synced: 04 May 2026
https://github.com/anathonic/big-data-mining-project
This repository contains the implementation of a machine learning project aimed at predicting movie ratings based on user reviews and tags. The data used for this project comes from the MovieLens dataset, which includes ratings and tags for over 9000 movies collected from 1995 to 2016.
decision-tree-regression gradient-boosting-regressor linear-regression machine-learning matplotlib mlp-regressor numpy pandas python random-forest-regression scipy sklearn
Last synced: 26 Jun 2025
https://github.com/open-risk-academy/academy-course-dat31055
Support material for Academy course DAT31055
linear-algebra matrix-libraries ndarray numpy
Last synced: 20 May 2026
https://github.com/Akhil-krishnan-r/super_market_analysis
The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset
data-visualization matplotlib numpy pandas seaborn
Last synced: 03 Feb 2026
https://github.com/girishkolhe/bike-sharing-multiple-linear-regression-assignment
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https://github.com/HarshilChampaneri/Titanic_Survival_Prediction
I have Created a Machine Learning Model based on the Logistic Regression algorithm. This Model is capable of predicting whether the person will survive or not survive based on the given data of that particular person.This Model is highly accurate in predicting the result.
artificial-intelligence jupyter kaggle logistic-regression machine-learning matplotlib numpy pandas python seaborn titanic-kaggle titanic-survival-prediction
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https://github.com/raksh710/diet_recommendation_fastembed
Recommends a recipe along with its full description using fastembed library and
docker docker-image dockerfile dockerhub-image fastapi fastembed heroku-app heroku-deployment nlp-machine-learning numpy pandas recommender-system uvicorn
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https://github.com/ola-kaznowska/first-steps-in-numpy
My first steps in the NumPy library
mathematics numpy python python3
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https://github.com/saattrupdan/neural_network
Homemade neural network from scratch in numpy.
Last synced: 20 May 2026
https://github.com/chaman2003/parkinson-detection
Al-powered Parkinson's Disease Detection System leveraging smartphone sensors (voice and motion) for real-time analysis. Combines ensemble machine learning models (SVM, Random Forest, Gradient Boosting, XGBoost) with advanced feature extraction to provide accurate early detection, sub-second processing, and detailed reporting.
ai flask html-css-javascript librosa ml numpy pandas pydup python scikit-learn
Last synced: 08 Apr 2026
https://github.com/pzuehlke/ml-with-numpy
Basic ML algorithms using only NumPy
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Last synced: 20 May 2026
https://github.com/csengupta1101/python-concepts
All basic to advanced Python Concepts Will be covered here in depth.
data-science django dsa-algorithm flask machine-learning numpy pandas python rest-api software-development
Last synced: 08 Apr 2026
https://github.com/udayraj04/facialemotion_musicrecommendations
A web application that detects facial emotions via webcam and recommends music tracks that match the user’s mood in real-time. Built with Flask, TensorFlow/Keras, OpenCV, and a React frontend.
cnn flask machine-learning numpy opencv pil reactjs tensorflow
Last synced: 08 Apr 2026
https://github.com/sridharyadav07/ai--powered-task-management-system
An intelligent Task Management System that integrates Sentiment Analysis, Task Optimization, and Forecasting to streamline project and task handling. This AI-powered tool is designed to assist teams and project managers in making data-driven decisions by understanding emotional context, forecasting productivity, and optimizing workload distribution
arima flask joblib jupyter-notebook naive-bayes-classifier nltk numpy pandas pickle-file python randomforestregressor scikit-learn stopwords-removal streamlit tfidf-vectorizer
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https://github.com/rdmolony/nix-numpy-financial
A nix derivation for numpy-financial - https://pypi.org/project/numpy-financial/#files
Last synced: 05 Mar 2025
https://github.com/annygutierrez/ai-chatbot-python
Deep learning chatbot: Chatbot model to make predictions and chat back and forth with our user.
Last synced: 06 May 2026
https://github.com/carinquantifiable119/data-science-handbook
📝 Explore Jupyter notebooks and reusable code to master data science workflows and enhance your skills effectively.
analytics aws biostatistics causal-inference computer-science ipython machine-learning meta neural-networks notebook numpy probability probability-cheatsheet python scicloj seaborn statistics-cheatsheet targeted-learning
Last synced: 27 Apr 2026
https://github.com/chinmayee4/diwali_sales_analysis_using_python
Analyze Diwali Sales Data to improve customer experience and sales.
data-science exploratory-data-analysis matplotlib numpy pandas python seaborn
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https://github.com/ksharma67/eda-on-ipl
In this python notebook, analysis of IPL matches from 2008 to 2020 is done using python packages like pandas, matplotlib and seaborn.
data-analysis data-science eda matplotlib numpy pandas python seaborn
Last synced: 07 May 2026
https://github.com/matteofasulo/pytripadvisor
Trip Advisor Web Scraper
beautifulsoup4 folium geopandas matplotlib nltk-tokenizer numpy pandas plotly python restaurant scipy selenium sql
Last synced: 08 Apr 2026
https://github.com/redinfinitypro/redditbot
Rating: (7/10) This script collects, preprocesses, trains models, processes images, and handles files, handling data from Reddit, image processing, and file handling.
autocorrect bytesio concurrent nltk numpy openpyxl pandas pil praw random re requests secrets sklearn string tensorflow time urllib
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https://github.com/dulajkavinda/diabetes-detection
💊detect diabetes using machine learing
added machinelearning numpy pandas python scikit
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https://github.com/sandeepannandi/slicecam
SliceCam is a fun, camera-controlled game powered by OpenCV and Mediapipe that lets you slash flying fruits with real-time hand tracking.
collision-detection handtracking mediapipe mediapipe-hands motiondetection numpy opencv pygame python
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https://github.com/miltiadiss/TSLA-stock-price-prediction
matplotlib numpy pandas scipy sklearn
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https://github.com/joeylemon/python-kmeans
an implementation of the K-means clustering algorithm in Python
k-means-clustering matplotlib ml numpy python
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https://github.com/rtmigo/markov_walk_py
🔢 Python module that calculates probabilities for a random walk in 1-dimensional discrete state space
absorbing-markov-chains absorbing-states markov-chain mathematics numpy probability probability-theory random-walk stochastic-matrix stochastic-models
Last synced: 21 May 2026
https://github.com/muralikrishna-cec/mca-s3
MCA SEMESTER 3 PROGRAMS
android-application android-studio java jupyter-notebook ml numpy python
Last synced: 08 Apr 2026
https://github.com/abidhasanrafi/pharma-sales-analytics
A Streamlit-powered web application for analyzing pharmaceutical sales performance across teams, products, and territories.
matplotlib numpy pandas plotly sales-analysis scikit-learn seaborn streamlit
Last synced: 08 Apr 2026
https://github.com/lorenzorottigni/ml-yelp-reviews
Machine Learning python bootcamp: natural language processing on Yelp reviews
machine-learning nlp numpy pandas python scikit-learn seaborn
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https://github.com/dennis-mureti/final-data-analysis-data-science
African financial crisis data analysis
machine-learning matplotlib numpy pandas python seaborn
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https://github.com/ricomeetsworld/ml-roadmap
Opinionated roadmap to machine learning in 2023
conda huggingface machine-learning matplotlib numpy pandas python pytorch
Last synced: 06 Apr 2025
https://github.com/omarsaad21/credit-train-data-science-project
This a full web application to predict the credit score of clients plus I did many visulizations to express many insights in chart
eda matplotlib ml numpy pandas python sklearn streamlit-webapp
Last synced: 09 Apr 2026
https://github.com/salamanderxing/jax-gaussian-bayes
A Multivariate Gaussian Bayes classifier written using JAX
cifar10 gaussian-bayesian-processes gaussian-naive-bayes jax multivariate-gaussian naive-bayes-classifier numpy xla
Last synced: 27 Apr 2026
https://github.com/shrutiii1109/diwali-sales-analysis-through-python
Data analysis project on Diwali sales using Python (Pandas, NumPy, Matplotlib, Seaborn). The goal is to analyze customer behavior, identify sales trends, and provide insights to improve marketing and business strategies.
data-analysis jupyer-notebook matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/sahilmaurya28/youtube-data-analysis
YouTube Data Analysis using Python — uncovering trends, engagement patterns, and correlations between likes, comments, views, and categories to understand what drives content success.
analysis data-analysis data-visualization matplotlib-pyplot numpy pandas portfolio-project python seaborn youtube
Last synced: 13 Apr 2026
https://github.com/emredemirbas/google-playstore-eda
Exploratory Data Analysis (EDA) of the Google Play Store dataset — examining trends in app ratings, categories, pricing, and user engagement using Python and LaTeX.
exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 03 May 2026
https://github.com/utkarsh251106/tracking-with-yolo
This project uses YOLOv8 and DeepSORT to detect and track children and adults in video streams. It assigns unique IDs, handles re-tracking after occlusions, and outputs an annotated video with labeled bounding boxes.
computer-vision deep-learning deepsort machine-learning numpy opencv python torch ultralytics yolov8
Last synced: 30 Jan 2026
https://github.com/isk-daniar/-contrast-improvements-on-pil
Contrast improvements on PIL
Last synced: 10 Jun 2026
https://github.com/gyselle-marques/transferlearningyolo-desafiodio
Machine Learning: Rotulação de uma base de dados e aplicação de transfer learning com a rede YOLO.
brazilian-portuguese coco coco-dataset colab-notebook dataset dio-bootcamp image-classification machine-learning neural-network numpy object-detection python transfer-learning yolo
Last synced: 10 May 2026
https://github.com/hawkharsh1/house-price-pridiction-model-using-ann
A deep learning-based regression model built using Artificial Neural Networks (ANN) in PyTorch to predict house prices from structured data. This project demonstrates the application of machine learning and deep learning techniques for solving real-world problems in the housing domain.
artificial-neural-networks deep-neural-networks machine-learning numpy pandas python3 pytorch scikit-learn
Last synced: 08 Apr 2026
https://github.com/dwija12903/mentorness-internship
Developed and applied technical skills in areas such as programming languages, data analysis, and machine learning methodologies.
matplotlib numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/priyasingh26/financial_document-data_extraction
This project extracts key information from financial documents like invoices and receipts using text recognition. It processes images, classifies documents, and extracts data, which is then stored in a CSV file. The aim is to automate data collection from scanned documents, reducing manual work and increasing accuracy.
data-extraction numpy ocr pandas pillow preprocessing pytesseract-ocr python sklearn torch transformers
Last synced: 08 Apr 2026
https://github.com/chawthinn/car-price-prediction-regression-ml
This project predicts used car prices using regression models including Linear, Ridge, Random Forest, XGBoost, and LightGBM. It covers preprocessing, EDA, model evaluation, hyperparameter tuning, and model persistence using Scikit-learn and related libraries.
car-price-prediction lgbmregressor linearregression numpy pandas python scikit-learn xgbregressor
Last synced: 08 Apr 2026
https://github.com/babagata/praktikum-4-data-analysis
Data analysis for course "Physics laboratory IV"
Last synced: 28 Apr 2026
https://github.com/haydencordeiro/terafeed
Terafeed - Addressing Zero Hunger in Africa (Sustainability Goal SDG 2)
javscript numpy pandas powerbi python scikit-learn tableau vuejs
Last synced: 08 Apr 2026
https://github.com/allenvox/neural
Workspace for Neural Networks class
jupyter-notebook neural-networks numpy python pytorch tensorflow
Last synced: 02 Jan 2026
https://github.com/raghavendranhp/airbnb-data-analysis
The Airbnb Data Analysis project focuses on analyzing Airbnb data using MongoDB Atlas, Python scripting, data preprocessing, visualization, and interactive geospatial insights. We delve into the world of property management and tourism to uncover trends, pricing variations, and location-based analysis.
eda jupyter-notebook mongodb numpy pandas powerbi preprocessing
Last synced: 08 Apr 2026
https://github.com/davityak03/sentence-paraphraser-checker-using-transformers
This Jupyter Notebook implements a tool to check whether two sentences are paraphrases by analyzing their semantic similarity using NLP techniques. It provides a similarity score and a binary decision to indicate if the sentences are paraphrases.
keras nlp nltk numpy python tensorflow tokenizer transformers
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https://github.com/rdvdev2/tf-test
Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR
numpy python research-project tensorflow tensorflow-tutorials
Last synced: 22 Mar 2025
https://github.com/pranjalshivhare06/medical-ensurance-charge-predictor
The Insurance Price Predictor is a machine learning project designed to predict insurance costs based on various input features. The project leverages four different algorithms, with XGBoost emerging as the most accurate and efficient model.
fastapi machine-learning numpy pandas xgboost-classifier
Last synced: 19 Apr 2026
https://github.com/vyjayanthipolapragada/image_classifier_model_hotdog
Building an Image classifier model to train and test a dataset and classify the given images into hotdog and not-hotdog.
artificial-intelligence dataset image-classification image-processing machine-learning matplotlib neural-networks numpy pandas python pytorch tensor torchvision transfer-learning
Last synced: 08 Apr 2026
https://github.com/sanjana-bongale/cancer_survival_data_analysis_and_prediction_using_logistic_regression
This project performs data analysis using Python to predict cancer patient survival outcomes. It involves data cleaning, exploratory analysis, and visualizations to explore factors like cancer type, stage, and treatments. A logistic regression model is built to predict patient survival based on demographic and medical data.
data-analysis data-cleaning data-science data-visualization eda jupyter-notebook kaggle logistic-regression machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/abdullahkhurshid/lung-cancer-prediction
Exploring predictive machine learning for cancer prevention
data-visualisation keras-neural-networks machinelearning matplotlib numpy pandas python scikit-learn seaborn seaborn-python
Last synced: 08 Apr 2026
https://github.com/secary/compsci7211
Foundations of Computer Science B
algorithms git numpy pandas shell unix
Last synced: 10 Apr 2026
https://github.com/tomas542/dl_examples
Examples of Machine Learning, Deep Learning, Natural Language Processing and so on
computer-vision cv deep-learning dl keras machine-learning ml natural-language-processing nlp numpy python pytorch scikit-learn
Last synced: 08 Apr 2026
https://github.com/singhvishal003/stock-price-predict
Stock Price Prediction model using yfinance data .
keras matplotlib numpy pandas yfinance
Last synced: 08 Apr 2026
https://github.com/mondalbidisha/landmark-recognition
A solution for identifying and recognizing landmarks from images, addressing key challenges and leveraging both algorithmic and human expertise to achieve high accuracy and reliability.
jupyter-notebook kaggle kaggle-datasets numpy pandas python3
Last synced: 08 Apr 2026
https://github.com/beolawork-art/novabank-churn-analysis
NovaBank has noticed that customers are closing accounts or going inactive, and they want to understand why.
data-analysis data-science-projects data-visualization eda machine-learning numpy pandas python scikit-learn sql
Last synced: 08 Apr 2026
https://github.com/shahbazshaddy/explainable-multimodal-ai-for-breast-cancer-and-pneumonia-prediction
A deep learning-based framework integrating explainable multimodal AI for accurate prediction and transparent diagnosis of breast cancer and pneumonia.
deep-learning explainable-ai grad-cam groq-api llm machine-learning matplotlib multimodal numpy pandas python pytorch scikit-learn seaborn streamlit
Last synced: 08 Apr 2026
https://github.com/hansalemaos/cppradixsort
parallel_radixsort from C++ for Python (Windows)
cpp numpy parallel-computing python sort
Last synced: 05 Feb 2026
https://github.com/dmarks84/coursework_project_boston-data-project
Project for IBM Data Science course on Statistics -- Read in a large data set and performed several statistical analyses and hypothesis testing
communication data-modeling data-reporting dataframes eda hypothesis-testing matplotlib numpy pandas probability python scipy seaborn statistics visualization
Last synced: 08 Apr 2026
https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding
Course assignment for Algorithm and Massive Datasets comparing SAD and SSD for motion estimation. Includes analysis of accuracy, speed (Python/NumPy), and error sensitivity. Highlights trade-offs for speed-critical vs. precision-focused applications.
l1-normalization l2-norm numpy pytho video-cod
Last synced: 04 Apr 2025
https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023
Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.
binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap
Last synced: 08 Apr 2026
https://github.com/priyanshulathi/cancer-diagnosis-prediction-model
A Machine Learning project to predict cancer malignancy using K-Nearest Neighbor, Support Vector Machine, and Decision Tree algorithms.
machine-learning numpy pandas python scikit-learn
Last synced: 03 Jan 2026
https://github.com/alphacrypto246/insurance-charges-prediction
The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and R².
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 03 May 2026
https://github.com/elijah-1994/modelling-airbnbs-property-listing-dataset
Training and Evaluating classification and regression model use cases on the Airbnb dataset.
data-science machine-learning numpy pandas plotly python pytorch sklearn
Last synced: 10 Apr 2026