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METHOD:PUBLISH
X-WR-CALNAME:Webgyrlz Code Computer Science Training
X-ORIGINAL-URL:https://webgyrlzcode.org
X-WR-CALDESC:Events for Webgyrlz Code Computer Science Training
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TZID:UTC
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20240707T190000
DTEND;TZID=UTC:20240707T220000
DTSTAMP:20260507T100320
CREATED:20240416T135013Z
LAST-MODIFIED:20240416T135013Z
UID:2912-1720378800-1720389600@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-12/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240704T190000
DTEND;TZID=UTC:20240704T220000
DTSTAMP:20260507T100320
CREATED:20240416T122105Z
LAST-MODIFIED:20240416T122105Z
UID:2817-1720119600-1720130400@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-12/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240630T190000
DTEND;TZID=UTC:20240630T220000
DTSTAMP:20260507T100320
CREATED:20240416T134920Z
LAST-MODIFIED:20240416T134920Z
UID:2910-1719774000-1719784800@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-11/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240628T200000
DTEND;TZID=UTC:20240628T213000
DTSTAMP:20260507T100320
CREATED:20240416T124323Z
LAST-MODIFIED:20240416T124323Z
UID:2841-1719604800-1719610200@webgyrlzcode.org
SUMMARY:June 28: Let's Make Hangman With Python - Free Coding Class by Erik Gross
DESCRIPTION:Join The Tech Academy at this free\, online intro to coding class\, hosted live by Erik Gross (our Co-Founder)\, where he will show you how to create the game “Hangman” using one of the top programming languages in the world: Python. \nThe class will be held on Zoom on June 28 (Friday evening) starting at 5:00 p.m. PST (7 CST/8 EST). \nThis workshop is for people who have never written code before\, and in it\, Mr. Gross will explain every line of code in plain English. All technical terms and concepts will be defined simply. \nRegister now for The Tech Academy’s fun\, simple and educational Intro to Python coding class!
URL:https://webgyrlzcode.org/event/june-28-lets-make-hangman-with-python-free-coding-class-by-erik-gross/
CATEGORIES:Coding,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240627T190000
DTEND;TZID=UTC:20240627T220000
DTSTAMP:20260507T100320
CREATED:20240416T122020Z
LAST-MODIFIED:20240416T122020Z
UID:2815-1719514800-1719525600@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-11/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240623T190000
DTEND;TZID=UTC:20240623T220000
DTSTAMP:20260507T100320
CREATED:20240416T134826Z
LAST-MODIFIED:20240416T134826Z
UID:2908-1719169200-1719180000@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-10/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240620T190000
DTEND;TZID=UTC:20240620T220000
DTSTAMP:20260507T100320
CREATED:20240416T121931Z
LAST-MODIFIED:20240416T121931Z
UID:2813-1718910000-1718920800@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-10/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240616T190000
DTEND;TZID=UTC:20240616T220000
DTSTAMP:20260507T100320
CREATED:20240416T134728Z
LAST-MODIFIED:20240416T134728Z
UID:2906-1718564400-1718575200@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-9/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240614T200000
DTEND;TZID=UTC:20240614T213000
DTSTAMP:20260507T100320
CREATED:20240416T123634Z
LAST-MODIFIED:20240416T123634Z
UID:2835-1718395200-1718400600@webgyrlzcode.org
SUMMARY:June 14: Make Your Own Adventure Game in Python\, with Erik Gross
DESCRIPTION:Learn how to create your very own text-based adventure game\, similar to the classic game Zork\, at this live class delivered by the Co-Founder of The Tech Academy. \nThis online workshop will teach the basics of the popular programming language Python\, and you can join us on Zoom at 5:00 p.m. PST (7 CST / 8 EST)\, on June 14 (Friday evening). \nThis live class is for people who have never written code before\, and in it Mr. Gross will explain every line of code in plain English. All technical terms and concepts will be defined simply. Python is one of the most-used programming languages in the world and you’ll get a taste of it here! \nConfirm your attendance now for this fun and educational Intro to Python coding class!
URL:https://webgyrlzcode.org/event/june-14-make-your-own-adventure-game-in-python-with-erik-gross/
CATEGORIES:Coding,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240613T190000
DTEND;TZID=UTC:20240613T220000
DTSTAMP:20260507T100320
CREATED:20240416T121821Z
LAST-MODIFIED:20240416T121821Z
UID:2811-1718305200-1718316000@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-9/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240609T190000
DTEND;TZID=UTC:20240609T220000
DTSTAMP:20260507T100320
CREATED:20240416T134603Z
LAST-MODIFIED:20240416T134603Z
UID:2904-1717959600-1717970400@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-8/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240606T190000
DTEND;TZID=UTC:20240606T220000
DTSTAMP:20260507T100320
CREATED:20240416T121725Z
LAST-MODIFIED:20240416T121725Z
UID:2809-1717700400-1717711200@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-8/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240602T190000
DTEND;TZID=UTC:20240602T220000
DTSTAMP:20260507T100320
CREATED:20240416T134523Z
LAST-MODIFIED:20240416T134523Z
UID:2902-1717354800-1717365600@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-7/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240531T200000
DTEND;TZID=UTC:20240531T213000
DTSTAMP:20260507T100320
CREATED:20240416T123831Z
LAST-MODIFIED:20240416T123831Z
UID:2837-1717185600-1717191000@webgyrlzcode.org
SUMMARY:May 31: Develop a "Connect 4" Game Using Python\, With Erik Gross
DESCRIPTION:Join The Tech Academy as we create the popular and classic game “Connect 4” using Python! In this free live class\, Erik Gross (our Co-Founder) will cover the basics of coding for absolute beginners. \nThis online workshop will be hosted through Zoom at 5:00 p.m. PST (7 CST / 8 EST)\, on May 31 (Friday evening). \nThis free coding class is for people who have never written code before\, and in it Mr. Gross will explain every line of code in plain English. All technical terms and concepts will be defined simply. Python is one of the most-used programming languages in the world and you’ll get your feet wet here! \nRegister for this fun and educational intro to coding class for beginners now!
URL:https://webgyrlzcode.org/event/may-31-develop-a-connect-4-game-using-python-with-erik-gross/
CATEGORIES:Coding,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240530T190000
DTEND;TZID=UTC:20240530T220000
DTSTAMP:20260507T100320
CREATED:20240416T121544Z
LAST-MODIFIED:20240416T121544Z
UID:2807-1717095600-1717106400@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-7/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240526T190000
DTEND;TZID=UTC:20240526T220000
DTSTAMP:20260507T100320
CREATED:20240416T134322Z
LAST-MODIFIED:20240416T134322Z
UID:2900-1716750000-1716760800@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-6/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240524T200000
DTEND;TZID=UTC:20240524T213000
DTSTAMP:20260507T100320
CREATED:20240416T124110Z
LAST-MODIFIED:20240416T124110Z
UID:2839-1716580800-1716586200@webgyrlzcode.org
SUMMARY:May 24: How to Use AI to Learn to Code\, Delivered by Erik Gross
DESCRIPTION:Artificial intelligence is quickly taking over all of our lives. Like any tool\, it can be used for construction or destruction – good or evil. \nOn May 24 (Friday evening) the Co-Founder of The Tech Academy\, Erik Gross\, will teach students how to leverage AI in order to write and debug effective code. This live online free class will start at 5:00 p.m. PST (7 CST / 8 EST). \nLearn about useful tools that will help you on your journey as a technology professional! \nRegister your attendance for this powerful and useful workshop now!
URL:https://webgyrlzcode.org/event/may-24-how-to-use-ai-to-learn-to-code-delivered-by-erik-gross/
CATEGORIES:Artificial Intelligence,Coding,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240523T190000
DTEND;TZID=UTC:20240523T220000
DTSTAMP:20260507T100320
CREATED:20240416T121451Z
LAST-MODIFIED:20240416T121451Z
UID:2805-1716490800-1716501600@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-6/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240519T190000
DTEND;TZID=UTC:20240519T220000
DTSTAMP:20260507T100320
CREATED:20240416T134112Z
LAST-MODIFIED:20240416T134112Z
UID:2898-1716145200-1716156000@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-5/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240516T190000
DTEND;TZID=UTC:20240516T220000
DTSTAMP:20260507T100320
CREATED:20240416T121337Z
LAST-MODIFIED:20240416T121337Z
UID:2803-1715886000-1715896800@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-5/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240512T190000
DTEND;TZID=UTC:20240512T220000
DTSTAMP:20260507T100320
CREATED:20240416T134012Z
LAST-MODIFIED:20240416T134012Z
UID:2896-1715540400-1715551200@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-4/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240509T190000
DTEND;TZID=UTC:20240509T220000
DTSTAMP:20260507T100320
CREATED:20240416T121238Z
LAST-MODIFIED:20240416T121238Z
UID:2801-1715281200-1715292000@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-4/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240505T190000
DTEND;TZID=UTC:20240505T220000
DTSTAMP:20260507T100320
CREATED:20240416T133909Z
LAST-MODIFIED:20240416T133909Z
UID:2894-1714935600-1714946400@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-3/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240502T190000
DTEND;TZID=UTC:20240502T220000
DTSTAMP:20260507T100320
CREATED:20240416T121029Z
LAST-MODIFIED:20240416T121029Z
UID:2799-1714676400-1714687200@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-3/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240428T190000
DTEND;TZID=UTC:20240428T220000
DTSTAMP:20260507T100320
CREATED:20240416T133804Z
LAST-MODIFIED:20240416T133804Z
UID:2892-1714330800-1714341600@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-2/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240425T190000
DTEND;TZID=UTC:20240425T220000
DTSTAMP:20260507T100320
CREATED:20240416T120944Z
LAST-MODIFIED:20240416T120944Z
UID:2797-1714071600-1714082400@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-2/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240421T190000
DTEND;TZID=UTC:20240421T220000
DTSTAMP:20260507T100320
CREATED:20240416T133615Z
LAST-MODIFIED:20240416T133615Z
UID:2890-1713726000-1713736800@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240418T190000
DTEND;TZID=UTC:20240418T220000
DTSTAMP:20260507T100320
CREATED:20240416T120525Z
LAST-MODIFIED:20240416T120525Z
UID:2795-1713466800-1713477600@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240405T090000
DTEND;TZID=UTC:20240405T093000
DTSTAMP:20260507T100320
CREATED:20231031T175229Z
LAST-MODIFIED:20231031T175229Z
UID:2216-1712307600-1712309400@webgyrlzcode.org
SUMMARY:GET2KNOW NC TECH
DESCRIPTION:Get2Know NC TECH is our monthly informal virtual gathering meant for people thinking of joining NC TECH\, or members who want a refresher on how to get involved in the tech community. Join us for this virtual event and meet other tech professionals and see how NC TECH plans to help advance our state’s robust tech eco system. This event is free and available to both members and non-members. \nDATE AND TIME\nFriday\, April 5 \n9:00 am until 9:30 am \nREGISTRATION\nRegistered participants will receive an email confirmation with call/login information before the webinar. Free for members and non-members to participate. \nQuestions about our monthly webinars? Contact a member of our membership team at 919.856.0303 or email membership@nctech.org.
URL:https://webgyrlzcode.org/event/get2know-nc-tech-6/
CATEGORIES:Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240327T120000
DTEND;TZID=UTC:20240327T130000
DTSTAMP:20260507T100320
CREATED:20240327T115318Z
LAST-MODIFIED:20240327T121035Z
UID:2677-1711540800-1711544400@webgyrlzcode.org
SUMMARY:SEO Masterclass: How to Rank Any Website
DESCRIPTION:Unlock the secrets to skyrocketing your website’s visibility on search engines with our exclusive SEO Masterclass. Whether you’re a seasoned marketer or a budding entrepreneur\, this webinar is your gateway to mastering the art and science of search engine optimization (SEO). Led by industry experts with years of experience\, this masterclass will equip you with the essential tools\, strategies\, and insights needed to propel your website to the top of search engine results pages (SERPs). From keyword optimization to link building techniques\, we’ll cover everything you need to know to outrank your competition and drive organic traffic to your website. \nFAQs: \n\nWho is this webinar for? This webinar is ideal for marketers\, business owners\, entrepreneurs\, bloggers\, and anyone looking to enhance their understanding of SEO and improve their website’s search engine rankings.\nWhat will I learn in this masterclass? You will learn advanced SEO strategies\, including keyword research\, on-page optimization\, technical SEO\, content creation\, link building\, and more. Our experts will also provide insights into the latest trends and best practices in the ever-evolving world of SEO.\nHow will this webinar help my website? By attending this masterclass\, you’ll gain actionable insights and techniques to optimize your website for search engines\, ultimately increasing its visibility\, driving organic traffic\, and generating more leads and sales.\nDo I need any prior experience in SEO? No prior experience is necessary. Our masterclass is designed to cater to beginners as well as those with some knowledge of SEO. Our experts will break down complex concepts into easy-to-understand lessons\, ensuring that everyone can benefit from the webinar.\nWill the webinar be interactive? Yes\, the webinar will be interactive\, allowing participants to ask questions and engage with the speakers. We encourage active participation to make the learning experience more enriching for everyone.\nWill the webinar be recorded? Yes\, the webinar will be recorded\, and registered participants will have access to the recording for future reference. Even if you can’t attend the live session\, you can still sign up and watch the recording at your convenience.\nHow can I register for the webinar? To register for the SEO Masterclass: How to Rank Any Website webinar\, simply click on the registration link provided and fill out the required information. Once registered\, you’ll receive a confirmation email with details on how to join the webinar.\n\nDon’t miss out on this opportunity to take your SEO skills to the next level and unlock the full potential of your website. Register now and start your journey towards dominating the search engine rankings! \n 
URL:https://webgyrlzcode.org/event/seo-masterclass-how-to-rank-any-website/
CATEGORIES:Virtual event
END:VEVENT
END:VCALENDAR