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DTSTART;TZID=America/Los_Angeles:20260330T180000
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SUMMARY:6 PM - Adv Ai and Machine Learning - Gamas
DESCRIPTION:Today We Did\n\nWe added bicep curl counting codes\nWe added face landmarks.\n\nHomework\n\nChange is_smilling(..) function to return True when you are smiling. And False otherwise.\nIn your program\, add codes to also display “Smiling” when you are smiling. And display “Not Smiling” when you are not smiling. Put the text under the angle text.
URL:https://www.ayclogic.com/event/6-pm-adv-ai-and-machine-learning-gamas-10/
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DTSTART;TZID=America/Los_Angeles:20260330T190000
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DTSTAMP:20260530T072812
CREATED:20260330T235041Z
LAST-MODIFIED:20260331T062753Z
UID:33029-1774897200-1774900800@www.ayclogic.com
SUMMARY:7 PM – AI/ML – Darin
DESCRIPTION:Today’s Activities:\n\nReviewed finals projects\, debugged streamlit and dataset related issues.\nFinished the Titanic Survival Rate Prediction Problem!\n\nHomework:\nPart 1:\n\nContinue working on your final project.\nYour goal this week is to train multiple models and deploy them all with the option to choose between different models on streamlit. Upload your latest progress as an ipynb to the google drive.\n\nFor those with issues on training the models\, do this fix: \n!pip install -U "fastprogress==1.0.3"\nimport fastprogress\nprint("fastprogress:"\, fastprogress.__version__)\nThen ensure it is 1.0.3\, if it isn’t restart the notebook (theres a restart and clear cell output button on the top right of the notebook page). \nPart 2:\n\nAdd some code in the Titanic Survival Rate project.\n\nCount how many passengers are male and how many are female. Use “Sex” column.\nFigure out the most expensive ticket price and the cheapest and the average. Use “Fare” column.\nFigure out how many people are younger than 10 years old. Use “Age” column.\n\n\n\nNotes:\nYou can reach me at ddjapri@ayclogic.com. \nAll class notes can be found here.
URL:https://www.ayclogic.com/event/7-pm-ai-ml-darin-16/
CATEGORIES:AI/ML,Python Class
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