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DTSTART;TZID=America/Los_Angeles:20250218T173000
DTEND;TZID=America/Los_Angeles:20250218T183000
DTSTAMP:20260514T122305
CREATED:20250219T023308Z
LAST-MODIFIED:20250219T023308Z
UID:28173-1739899800-1739903400@www.ayclogic.com
SUMMARY:5:30 PM - AI / Machine Learning - Gamas
DESCRIPTION:Today We Did\n\nWe fixed the training data\nWe created diagram using test_data frame.\n\nHomework\nNext week we are going to manually test our model by asking users the following question in Python. Your homework is to create these inputs from both Python input from shell (in Kaggle) and Creating a streamlit page to ask these questions as well. \nWhat is your name: Gamas\nHow old are you: 48\nWhat is your gender (male/female): male\nEnter your ticket price: 100.2\nEnter the number of people in your party: 2
URL:https://www.ayclogic.com/event/530-pm-ai-machine-learning-gamas-12/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250218T180000
DTEND;TZID=America/Los_Angeles:20250218T190000
DTSTAMP:20260514T122305
CREATED:20250219T031109Z
LAST-MODIFIED:20250219T031109Z
UID:28175-1739901600-1739905200@www.ayclogic.com
SUMMARY:6 PM – Python OOP – Darin
DESCRIPTION:What We Did Today:\n\nContinued the School System project\nWent over object oriented programming concepts\nLearnt how to use the Find algorithm for lists and dictionaries\n\nHomework:\nIn your school system project\, implement the following: \nHomework:\n\nDo options 4\, 5\, and 6\nStart by creating a teacher class:\nTeacher class:\nself.name\nself.subject\nself.age\n\nand a method to print_info like student class\n\n\nCreate a teachersDict variable with an empty dictionary\n\noption 4: \nAdd a teacher object to the dictionary the same way you did for the studentsDict\n\noption 5:\nlist the teachers with the dictionary\n\noption 6:\nfind a teacher the same way as you did with students\nNotes:\nYou can reach me at ddjapri@ayclogic.com for any questions. \nClass notes: https://drive.google.com/drive/folders/1OwtesGpGH9qm7A9cPpFKe-gooY71zxc4?usp=sharing
URL:https://www.ayclogic.com/event/6-pm-python-oop-darin-21/
CATEGORIES:OOP Python,Python Class
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250218T190000
DTEND;TZID=America/Los_Angeles:20250218T200000
DTSTAMP:20260514T122305
CREATED:20250219T040843Z
LAST-MODIFIED:20250219T040843Z
UID:28179-1739905200-1739908800@www.ayclogic.com
SUMMARY:7 PM - AI / Machine Learning - Gamas
DESCRIPTION:Today We Did\n\nWe continued with the Titanic Survivorship\nWe were able to load test.csv and create panda dataframe and fast.ai data loader\n\nHomework\n\nGo through the prediction result from test_dls and go through row by row to produce something like below.\nYou have to loop through each element inside predictions[0] and compare if the first element is bigger than the 2nd element\, then print <row>. Not Survived <probability>%.\nIf the first element is smaller than the 2nd element then print <row>. Survived <probability>%\n\n0. Not Survived 87.18848419189453%.\n1. Not Survived 78.96119689941406%.\n2. Not Survived 84.08621215820312%.\n3. Not Survived 80.73690795898438%.\n4. Not Survived 60.991275787353516%.\n5. Not Survived 88.77079772949219%.\n6. Survived 74.59135437011719%.\n7. Not Survived 67.33382415771484%.\n8. Survived 65.89361572265625%.\n9. Not Survived 90.43904113769531%.\n10. Not Survived 88.4970932006836%.\n....\n411. Survived 97.65119934082031%.\n412. Survived 74.2665023803711%.\n413. Not Survived 88.44790649414062%.\n414. Survived 98.83213806152344%.\n415. Not Survived 91.81370544433594%.\n416. Not Survived 88.44790649414062%.\n417. Not Survived 80.0470199584961%.
URL:https://www.ayclogic.com/event/7-pm-ai-machine-learning-gamas-10/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250218T190000
DTEND;TZID=America/Los_Angeles:20250218T210000
DTSTAMP:20260514T122305
CREATED:20250219T031413Z
LAST-MODIFIED:20250219T031413Z
UID:28177-1739905200-1739912400@www.ayclogic.com
SUMMARY:7 PM – Python OOP – Darin
DESCRIPTION:What We Did Today:\n\nDid our final exam\nYour results will be released within the next week.\n\nHomework:\nNone! Congratulations for making it this far! \nNotes:\nContact me at ddjapri@ayclogic.com if you have any questions.
URL:https://www.ayclogic.com/event/7-pm-python-oop-darin-22/
CATEGORIES:OOP Python,Python Class
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