BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Windsor Hackforge - ECPv6.16.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.hackf.org
X-WR-CALDESC:Events for Windsor Hackforge
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Toronto
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240708T183000
DTEND;TZID=America/Toronto:20240708T200000
DTSTAMP:20260524T102928
CREATED:20240703T131543Z
LAST-MODIFIED:20240703T180050Z
UID:2193-1720463400-1720468800@www.hackf.org
SUMMARY:Intro to Machine Learning with Python
DESCRIPTION:📍Hackforge HQ\, (300 Ouellette Ave\, Unit 210)👥💻 Hybrid \n\n\n\nAre you eager to dive into the world of Machine Learning? Join us for an exciting and informative session that will teach the the basics you need to make the most of this cutting-edge technology. \n\n\n\nThis event is designed for beginners who are curious about machine learning and its practical applications. \n\n\n\nIn this session\, you will: \n\n\n\n– Gain a foundational understanding of machine learning concepts. \n\n\n\n– Learn how to set up a Python environment using Google Colab. \n\n\n\n– Explore essential Python libraries such as pandas\, numpy\, and scikit-learn. \n\n\n\n– Understand the steps involved in building a machine learning model. \n\n\n\n– Work through a hands-on project to apply what you’ve learned. \n\n\n\nWho Should Attend: \n\n\n\n– Beginners interested in machine learning and data science. \n\n\n\n– Students and professionals looking to add machine learning skills to their toolkit. \n\n\n\n– Anyone curious about how data can be used to make predictions and drive decisions. \n\n\n\nPrerequisites: \n\n\n\nBasic understanding of Python programming. No prior machine learning experience is required. \n\n\n\nWhat to Bring: \n\n\n\nA laptop with internet access. We’ll be using Google Colab\, so no need to install anything beforehand. \n\n\n\n📅 Monday\, July 8th\, 2024 \n\n\n\n⌚ 6:30 – 8PM \n\n\n\nRegister to attend In-Person in the RSVP box below \n\n\n\nRegister to attend Virtually via Zoom.
URL:https://www.hackf.org/event/intro-to-machine-learning-with-python/
LOCATION:Fogolar Furlan\, 1800 North Service Rd\, Windsor\, Ontario\, N8W 1Y3\, Canada
CATEGORIES:Hybrid
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240712T150000
DTEND;TZID=America/Toronto:20240712T173000
DTSTAMP:20260524T102928
CREATED:20240528T044446Z
LAST-MODIFIED:20240710T004952Z
UID:1886-1720796400-1720805400@www.hackf.org
SUMMARY:Career Planning in Canada for the IT and Engineering Sectors
DESCRIPTION:📍 EPICenter\, 2455 Wyandotte St W\, Windsor\, ON N9B 0C1👥 In-Person Only \n\n\n\nCareer Planning in Canada for the IT and Engineering Sectors \n\n\n\nThis free session will provide information and strategies for effective career planning in Canada. \n\n\n\nInformational topics will include Post-Graduate Work Permit eligibility\, current labour market research trends\, and helpful resources to support a successful job search. Strategic career planning topics will include upskilling\, marketing yourself\, and networking in the Canadian job market to optimize employment opportunities in the IT and engineering sectors. The session will conclude with opportunities to engage\, connect\, and ask questions.  \n\n\n\nPresented by Laura Ducharme\, certified educator and career development practitioner at the University of Windsor. \n\n\n\n📅 Friday\, July 12 \n\n\n\n⏲ 3 – 5:30 PM \n\n\n\n📍EPICenter\, 2455 Wyandotte St W\, Windsor\, ON N9B 0C
URL:https://www.hackf.org/event/career-planning-in-canada-for-the-it-and-engineering-sectors/
LOCATION:Ontario
CATEGORIES:In-Person
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240718T180000
DTEND;TZID=America/Toronto:20240718T200000
DTSTAMP:20260524T102928
CREATED:20240703T162547Z
LAST-MODIFIED:20240716T140420Z
UID:2200-1721325600-1721332800@www.hackf.org
SUMMARY:Border City Data: Public Art Data in Windsor & Detroit
DESCRIPTION:📍Hackforge HQ\, (300 Ouellette Ave\, Unit 210)👥💻 Hybrid \n\n\n\nHackforge has recently partnered with and supported Parallel 42 Systems for the release of MotorCityMurals.Tours. This free-to-use web app provides directions to and information about various street art paintings in the downtowns of both Windsor\, Ontario and Detroit\, Michigan. \n\n\n\nIn this month’s edition of Border City Data\, Doug Sartori will be going through the process of how this data was collected\, organized\, and ultimately made into a digital tour guide. \n\n\n\nTune in to learn about geocoding\, OpenStreetMap\, Pytheas\, and how Motor City Murals respects user data and privacy. \n\n\n\n📅 Thursday\, July 18th \n\n\n\n⌚ 6 – 8 PM \n\n\n\nRegister to attend In-Person in the RSVP box below \n\n\n\nRegister to attend Virtually via Zoom.
URL:https://www.hackf.org/event/border-city-data-public-art-data-in-windsor-detroit/
LOCATION:Fogolar Furlan\, 1800 North Service Rd\, Windsor\, Ontario\, N8W 1Y3\, Canada
CATEGORIES:Hybrid
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240720T120000
DTEND;TZID=America/Toronto:20240720T150000
DTSTAMP:20260524T102928
CREATED:20240612T211151Z
LAST-MODIFIED:20240708T160756Z
UID:2127-1721476800-1721487600@www.hackf.org
SUMMARY:Mastering Machine Learning: Intro Session
DESCRIPTION:Hackforge HQ (300 Ouellette Ave\, Unit 210)👥 In Person Only💲 Free \n\n\n\nThis course is now full. We are no longer accepting registrations. \n\n\n\nThis free\, 18-hour course is meticulously designed to provide a comprehensive introduction to the field of machine learning. Covering essential concepts and algorithms\, the course prepares participants to understand and apply machine learning techniques to real-world problems. Through lectures\, hands-on sessions\, and a series of 8-10 projects\, participants will gain both theoretical insights and practical experience. \n\n\n\nExpected Outcomes:\n\n\n\n\nUnderstand the fundamental concepts and various algorithms in machine learning.\n\n\n\nApply machine learning techniques to data analysis\, prediction\, and decision-making.\n\n\n\nDevelop and evaluate predictive models using real-world datasets.\n\n\n\nComplete a series of practical projects that demonstrate the application of machine learning skills\, working both individually and in teams.\n\n\n\nEnhance online presence and professional networking through guided activities and support.\n\n\n\n\nWho It’s For:\n\n\n\nThis course is ideal for university or college students\, professionals in the tech industry\, and AI enthusiasts who are keen to deepen their understanding of machine learning. It is designed to help participants not only learn but also showcase their skills through online portfolios and networking opportunities. \n\n\n\nCourse Schedule:\n\n\n\n\nSaturday\, July 20\, 2024\, 12:00 PM to 3:00 PM (Introductory Session)\n\n\n\nSunday\, July 21\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, July 28\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, August 4\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, August 11\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, August 18\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, August 25\, 2024\, 12:00 PM to 3:00 PM\n\n\n\n\nThe Introductory Session will outline the course structure and expectations\, and discuss how to make the most of this learning opportunity. This session is a crucial starting point for all participants to understand the course dynamics and prepare for the exciting journey ahead. \n\n\n\nRegistration\n\n\n\nIf you’re interested in participating\, please email info@hackf.org.  Further details about enrollment and course materials will be provided in response.
URL:https://www.hackf.org/event/mastering-machine-learning-intro-session/
LOCATION:Fogolar Furlan\, 1800 North Service Rd\, Windsor\, Ontario\, N8W 1Y3\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240721T120000
DTEND;TZID=America/Toronto:20240721T150000
DTSTAMP:20260524T102928
CREATED:20240703T172505Z
LAST-MODIFIED:20240708T160739Z
UID:2209-1721563200-1721574000@www.hackf.org
SUMMARY:Mastering Machine Learning: Session #1
DESCRIPTION:Hackforge HQ (300 Ouellette Ave\, Unit 210)👥 In Person Only💲 Free \n\n\n\nThis course is now full. We are no longer accepting registrations. \n\n\n\nThis free\, 18-hour course is meticulously designed to provide a comprehensive introduction to the field of machine learning. Covering essential concepts and algorithms\, the course prepares participants to understand and apply machine learning techniques to real-world problems. Through lectures\, hands-on sessions\, and a series of 8-10 projects\, participants will gain both theoretical insights and practical experience. \n\n\n\nExpected Outcomes:\n\n\n\n\nUnderstand the fundamental concepts and various algorithms in machine learning.\n\n\n\nApply machine learning techniques to data analysis\, prediction\, and decision-making.\n\n\n\nDevelop and evaluate predictive models using real-world datasets.\n\n\n\nComplete a series of practical projects that demonstrate the application of machine learning skills\, working both individually and in teams.\n\n\n\nEnhance online presence and professional networking through guided activities and support.\n\n\n\n\nWho It’s For:\n\n\n\nThis course is ideal for university or college students\, professionals in the tech industry\, and AI enthusiasts who are keen to deepen their understanding of machine learning. It is designed to help participants not only learn but also showcase their skills through online portfolios and networking opportunities. \n\n\n\nCourse Schedule:\n\n\n\n\nSaturday\, July 20\, 2024\, 12:00 PM to 3:00 PM (Introductory Session)\n\n\n\nSunday\, July 21\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, July 28\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, August 4\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, August 11\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, August 18\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, August 25\, 2024\, 12:00 PM to 3:00 PM\n\n\n\n\nThe Introductory Session will outline the course structure and expectations\, and discuss how to make the most of this learning opportunity. This session is a crucial starting point for all participants to understand the course dynamics and prepare for the exciting journey ahead. \n\n\n\nRegistration\n\n\n\nIf you’re interested in participating\, please email info@hackf.org.  Further details about enrollment and course materials will be provided in response.
URL:https://www.hackf.org/event/mastering-machine-learning-session-1/
LOCATION:Fogolar Furlan\, 1800 North Service Rd\, Windsor\, Ontario\, N8W 1Y3\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240722T180000
DTEND;TZID=America/Toronto:20240722T193000
DTSTAMP:20260524T102928
CREATED:20240703T171655Z
LAST-MODIFIED:20240722T203612Z
UID:2204-1721671200-1721676600@www.hackf.org
SUMMARY:POSTPONED DUE TO WEaTHER - OSM Field Mapping
DESCRIPTION:📍 POSTPONED DUE TO WEATER \n\n\n\nJoin us for a community field mapping event where we will use the Every Door and StreetComplete apps to enhance OpenStreetMap! Whether you’re a seasoned mapper or a beginner\, this event is a great opportunity to contribute to one of the world’s most comprehensive open-source maps. \n\n\n\nMeet in front of St. Angela Merici church\, and together we’ll explore Via Italia\, using these intuitive tools to add and update information on local businesses\, amenities\, street details\, and more. \n\n\n\nHelp us improve the accuracy and richness of OpenStreetMap while exploring and documenting Windsor’s Little Italy. No previous experience with OSM\, geodata\, or mapping required – just bring your data-enabled smart device\, walking shoes\, and sense of adventure! \n\n\n\nPLEASE STAY TUNED FOR DETAILS ABOUT THE RESCHEDULED DATE \n\n\n\n📅 Monday\, July 22 \n\n\n\n📍 980 Louis Ave (Corner of Louis and Erie)\, in front of St. Angela Merici Church \n\n\n\n⌚ 6:00 – 7:30 PM \n\n\n\nRegister to attend In-Person in the RSVP box below \n\n\n\nWant to prep early? Start with these steps: \n\n\n\n\ncreate an account at osm.org\n\n\n\ndownload StreetComplete (android-only)\n\n\n\n\nAND/OR \n\n\n\n\ndownload Every Door (android and iOS)\n\n\n\nlog in to your chosen app using your OSM account
URL:https://www.hackf.org/event/osm-field-mapping-2/
LOCATION:Ontario
CATEGORIES:In-Person
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240728T120000
DTEND;TZID=America/Toronto:20240728T150000
DTSTAMP:20260524T102928
CREATED:20240703T172526Z
LAST-MODIFIED:20240708T160725Z
UID:2211-1722168000-1722178800@www.hackf.org
SUMMARY:Mastering Machine Learning: Session #2
DESCRIPTION:Hackforge HQ (300 Ouellette Ave\, Unit 210)👥 In Person Only💲 Free \n\n\n\nThis course is now full. We are no longer accepting registrations. \n\n\n\nThis free\, 18-hour course is meticulously designed to provide a comprehensive introduction to the field of machine learning. Covering essential concepts and algorithms\, the course prepares participants to understand and apply machine learning techniques to real-world problems. Through lectures\, hands-on sessions\, and a series of 8-10 projects\, participants will gain both theoretical insights and practical experience. \n\n\n\nExpected Outcomes:\n\n\n\n\nUnderstand the fundamental concepts and various algorithms in machine learning.\n\n\n\nApply machine learning techniques to data analysis\, prediction\, and decision-making.\n\n\n\nDevelop and evaluate predictive models using real-world datasets.\n\n\n\nComplete a series of practical projects that demonstrate the application of machine learning skills\, working both individually and in teams.\n\n\n\nEnhance online presence and professional networking through guided activities and support.\n\n\n\n\nWho It’s For:\n\n\n\nThis course is ideal for university or college students\, professionals in the tech industry\, and AI enthusiasts who are keen to deepen their understanding of machine learning. It is designed to help participants not only learn but also showcase their skills through online portfolios and networking opportunities. \n\n\n\nCourse Schedule:\n\n\n\n\nSaturday\, July 20\, 2024\, 12:00 PM to 3:00 PM (Introductory Session)\n\n\n\nSunday\, July 21\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, July 28\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, August 4\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, August 11\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, August 18\, 2024\, 12:00 PM to 3:00 PM\n\n\n\nSunday\, August 25\, 2024\, 12:00 PM to 3:00 PM\n\n\n\n\nThe Introductory Session will outline the course structure and expectations\, and discuss how to make the most of this learning opportunity. This session is a crucial starting point for all participants to understand the course dynamics and prepare for the exciting journey ahead. \n\n\n\nRegistration\n\n\n\nIf you’re interested in participating\, please email info@hackf.org.  Further details about enrollment and course materials will be provided in response.
URL:https://www.hackf.org/event/mastering-machine-learning-session-2/
LOCATION:Fogolar Furlan\, 1800 North Service Rd\, Windsor\, Ontario\, N8W 1Y3\, Canada
END:VEVENT
END:VCALENDAR