🌌 The R easystats-project
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz
极客时间：Machine Learning from Scratch（零基础实战机器学习）
A set of numerical demonstrations in Excel to assist with teaching / learning concepts in probability, statistics, spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
My graduate level machine learning course, including student machine learning projects.
DATA ANALYTICS PORTFOLIO
Explore a collection of end-to-end data analytics projects showcasing SQL, Python, and Power BI. Gain valuable insights and solutions to real-world problems through data extraction, analysis, and visualization. Ideal for beginners and professionals looking to enhance their skills in data analytics.
데이터 분석가와 개발자를 위한 오픈소스 플랫폼으로 뉴스데이터와 타 분야 데이터를 융합할 수 있는 분석 및 개발 환경을 제공합니다. _Open source platform for data analysts and developers, Providing an analysis and development environment that can fuse news data with open data.
Portfolio in Python
Quick and simple web based solution to visualize GraphMl network diagrams
免費數字驅動的數學模型人工智能 | 為你的數字規律建立數學模型 | C語言免安裝軟體
Geostatistical utilities and tutorial in R. For the tutorials I have included Rmarkdown html files.
Data science virtual internship program by British Airways through Forage!
Collect and process real time twitter data plotting various metrics like volume , proportion, sentiment. Analyze tweet node networks and map them geographically.
A dataset sample of the most reviewed and best-selling books on Amazon
Companion to textbook "Decision Support Systems: Introduction to Data Science with Applications"
Modelling Big Five Personality Inventory using Machine Learning algorithms
"#8WeekSQLChallenge : Solutions for a thrilling project that offers weekly SQL case studies! Engaged in real-world data analysis with interactive challenges."
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