Microsoft’s MarkItDown Tool Gains MCP Server for AI Agent Access
#AI #Microsoft #MarkItDown #Python #OpenSource #LLM #DataPrep #Markdown #DeveloperTools #MCP #AIagents #API #FileConversion
Microsoft’s MarkItDown Tool Gains MCP Server for AI Agent Access
#AI #Microsoft #MarkItDown #Python #OpenSource #LLM #DataPrep #Markdown #DeveloperTools #MCP #AIagents #API #FileConversion
Reduce errors by over 85% with AI-driven spreadsheet processing. Consistent results across large datasets guaranteed! https://matasoft.hr/QTrendControl/index.php/un-perplexed-spready/ai-driven-spreadsheet-processing-services
Cleaning datasets in R? Missing values can be tricky, but this guide makes it easy! Learn how to spot and count NAs in data frames, vectors, and columns with practical R code examples.
Check it out here: https://www.spsanderson.com/steveondata/posts/2024-12-03/
What’s your favorite R function for data cleaning? Let us know!
Unfilled cells influence models.
"Handling Missing Data in Machine Learning": https://ml-nn.eu/a1/51.html by Calin Sandu @mlnn
MachineLearning tip: Master the art of splitting datasets! Learn why it's crucial, how to implement train_test_split, and verify your results. Perfect for #DataScience beginners and pros alike. Boost your ML skills now! #AIEducation #DataPrep
https://teguhteja.id/splitting-datasets-for-machine-learning-comprehensive-guide-train-test-split/
Often revelations found with these methods will lead to better #datacleaning, #dataprep, and even modeling. In my experience, it pays off! I'm by no means an expert, though. There are many topics in the book I'm eager to sink my teeth into! I will post about them as I learn :) 4/4