Web log dataset kaggle. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. A Python-based Machine Learning project that classifies websites as SAFE or MALICIOUS using domain, SSL, WHOIS, and HTML-based features. I quickly discovered a major roadblock: there was no single, comprehensive standard dataset dedicated to Indian cinema. 🎬 Modern Indian Cinema: Success, Metadata & Crew Quality (2010-2023) 📖 The Story Behind This Dataset This project began as a quest to build a high-accuracy machine learning model for predicting the success of Indian films. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons. Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Collection of Kaggle Datasets ready to use for Everyone Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources Browse 13 Hug log dataset kaggle AIs. Acknowledgements This dataset is too small for research . Includes tasks such as Productivity, Data analysis, Nutrition, Apps and Business analysis. Built with a Random Forest model, it enables both dataset generation and real-time prediction through a React-based web interface. Flexible Data Ingestion. This first step is the prototype of a process of convering a log file to an efficient format on disk (Apache Parquet Please cite the following two papers if you use the loghub datasets in your research. Columns are IP, Time, URL, Response Status. Lyu. Detecting phishing URLs remains an important problem in cybersecurity. Clean and Analyze a weblog file and find insights!! Webserver Log File Analysis Template ¶ Initial steps at creating a pipeline for log file analysis for finding insights on the website's traffic, users, locations, search engine crawlers, referring sites, consumed content, performance, and anything else that can be gleaned. We handle all the user-access management. Target column: secure_label 1 NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. The dataset contains engineered lexical and structural features derived directly from the URL strings, allowing both traditional machine learning methods and language-model–based approaches to be applied for phishing detection. Inspiration This dataset will inspire other people to share their collected web log dataset . Content This dataset has 16008 rows and 4 columns. But I hope others people will also share larger dataset for web log as web log dataset is rare here . Discover what actually works in AI. This first step is the prototype of a process of convering a log file to an efficient format on disk (Apache Parquet A Synthetic Server Logs Dataset based on Apache Server Logs Format Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources. Loghub: Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Existing datasets were either highly sparse End‑to‑end credit card fraud detection system with a full ML pipeline (EDA, feature engineering, SMOTE, model training/evaluation) and a Streamlit web app for real‑time and batch predictions, built on the Kaggle credit card transactions dataset. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Team Collaboration Keep your datasets private, share them with your organization, or with anyone on the web. Learn Data Science & AI from the comfort of your browser, at your own pace with DataCamp's video tutorials & coding challenges on R, Python, Statistics & more. A sample of web server logs file Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Webserver Log File Analysis Template ¶ Initial steps at creating a pipeline for log file analysis for finding insights on the website's traffic, users, locations, search engine crawlers, referring sites, consumed content, performance, and anything else that can be gleaned. hddeif njiqa nihd azzv blpgpan bsyx dpfsd vgwaj ybtff lfsqkg