Apple's allowed autofill domains
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Updated
Jun 3, 2024
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
Apple's allowed autofill domains
This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.
Simple data extract from the Strava API to generate some data points I'm interested in
Data Science Student Companion Notebooks and Data Lake
🔥 人人可用的开源数据可视化分析工具,帆软、Tableau 等商业 BI 工具的开源替代。
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
"IPL Analysis" analyzes IPL data through statistical analysis and visualization, revealing player performances, team strategies, match dynamics, and fan engagement trends. Dive into cricket's heart with this data-driven exploration.
Repository for the Data Science and Analytics course materials at Tecnológico de Monterrey. Includes playbooks and analyses for practical data science applications, from fundamentals to predictive models.
📊📈🔬 SpectraFit is a command-line and Jupyter-notebook tool for quick data-fitting based on the regular expression of distribution functions.
Data analysis aimed at better understanding San Diego County automobile accidents while analyzing various features such as weather and dates from the 2021 year.
Statistical analysis of potential association between a NBA team’s number and type of injuries to their record from the 2010-15 seasons. Prediction of 2016 season records given injury types and numbers.
Data analysis performed on various topics to polish skills of python, SQL, and excel
Apache DevLake is an open-source dev data platform to ingest, analyze, and visualize the fragmented data from DevOps tools, extracting insights for engineering excellence, developer experience, and community growth.
This GitHub repository is a valuable resource for machine learning and Python enthusiasts. It includes a wide range of projects and tools, covering topics like Data Visualization, Data Analysis, ML, DL, Automation, NLP, Web Scraping, and more. Contributors are welcome to join and learn together in this supportive community. Happy coding!
Apache Superset is a Data Visualization and Data Exploration Platform
Este repositório está sendo utilizado pela equipe de analistas e cientistas de dados do projeto. As análises estão sendo conduzidas principalmente através de Jupyter Notebooks, com a geração de insights por meio de gráficos. Os arquivos CSV tratados estão disponíveis para referência.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
The simplest, fastest way to get business intelligence and analytics to everyone in your company 😋
My data-related/math/stats portfolio projects