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Category: Python

Understanding Semantic Search: From TF-IDF to Transformers

/https://towardsdatascience.com/from-tf-idf-to-transformers-implementing-four-generations-of-semantic-search/

Posted on May 26, 2026Categories Machine Learning, Python, semantic search, UncategorizedTags embeddings, Machine Learning, Python, sematic serach, transformersLeave a comment on Understanding Semantic Search: From TF-IDF to Transformers

From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers

From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers

https://theomitsa.medium.com/from-classical-models-to-ai-forecasting-humidity-for-energy-and-water-efficiency-in-data-centers-02afd227558c?postPublishedType=repub

Posted on November 2, 2025May 27, 2026Categories forecasting, Machine Learning, PythonTags Data Science, forecasting, Machine Learning, PythonLeave a comment on From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers

Unlocking Valuable Data and Model Insights with Python Packages Yellowbrick and PiML(with Code)

View at Medium.com

MEDIUM ARTICLE SHOWN ABOVE

Posted on May 17, 2024Categories PythonTags Data Science, Machine Learning, Python, VisualizationLeave a comment on Unlocking Valuable Data and Model Insights with Python Packages Yellowbrick and PiML(with Code)

Mastering the Versatility and Depth of Python’s Rich Plot Collection (with Code)

View at Medium.com

https://medium.com/towards-data-science/mastering-the-versatility-and-depth-of-pythons-rich-plot-collection-with-code-b136b584d143LINK

Posted on April 10, 2024Categories PythonTags Machine Learning, Python, VisualizationLeave a comment on Mastering the Versatility and Depth of Python’s Rich Plot Collection (with Code)

Need for Speed: Comparing Pandas 2.0 with Four Python Speed-Up Libs (with Code)

https://towardsdatascience.com/need-for-speed-comparing-pandas-2-0-with-four-python-speed-up-libs-with-code-b287e0d9b836

Posted on May 20, 2023Categories PythonTags pandas, Python, speedLeave a comment on Need for Speed: Comparing Pandas 2.0 with Four Python Speed-Up Libs (with Code)

Five Ways to Remember the Past (Model State) in Python

https://towardsdatascience.com/five-ways-to-remember-the-past-model-state-in-python-2c8430d29679

Posted on June 16, 2022Categories PythonTags Machine Learning, PythonLeave a comment on Five Ways to Remember the Past (Model State) in Python

Python And R for Data Wrangling: Compare Pandas and Tidyverse Code Side-By-Side, and Learn Speed-Up Tips.

Medium Post

Posted on August 15, 2019Categories data wrangling, pandas, Python, R, tidyverse, UncategorizedTags Python, RLeave a comment on Python And R for Data Wrangling: Compare Pandas and Tidyverse Code Side-By-Side, and Learn Speed-Up Tips.

How Much OOP Should a Data Scientist Know?

https://towardsdatascience.com/a-data-scientist-should-know-at-least-this-much-python-oop-d63f37eaac4d?sk=c6423c3eb9d6ca176fe35d37d36e6b11

Published in Medium Publication “Towards Data Science” 3-29-2019.

Posted on March 30, 2019March 30, 2019Categories PythonTags PythonLeave a comment on How Much OOP Should a Data Scientist Know?

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