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DTSTAMP:20260524T072258
CREATED:20240703T172545Z
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UID:2213-1722772800-1722783600@www.hackf.org
SUMMARY:Mastering Machine Learning: Session #3
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-3/
LOCATION:Fogolar Furlan\, 1800 North Service Rd\, Windsor\, Ontario\, N8W 1Y3\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240809T180000
DTEND;TZID=America/Toronto:20240809T210000
DTSTAMP:20260524T072258
CREATED:20240805T170203Z
LAST-MODIFIED:20240805T170203Z
UID:2295-1723226400-1723237200@www.hackf.org
SUMMARY:PM Pub Night
DESCRIPTION:📍 Maiden Lane (494 Pelissier St)👥 In Person Only💲 Free‼️ 19+ \n\n\n\nHackforge invites project managers from all industries to join us for a casual networking event at Maiden Lane Wine & Spirits on Friday\, August 9th. \n\n\n\nThis informal meetup is a chance to build your network\, share ideas\, and unload some stress. Hangout for the whole time or stop in for a drink – there’s no schedule or presentation for this social event. \n\n\n\nThere is no charge to attend\, but everyone is responsible for their own food and drink. Maiden Lane offers a selection of small places and an unbeatable bar menu – more details can be found on their website. \n\n\n\nPlease note that this is a 19+ event \n\n\n\n📅 Friday\, August 9th⌚ 6 – 9 PMRegister to attend In-Person in the RSVP box below
URL:https://www.hackf.org/event/pm-pub-night/
LOCATION:Maiden Lane Wine & Spirits\, 494 Pelissier St\, Windsor\, Ontario\, N9A 4K9\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240811T120000
DTEND;TZID=America/Toronto:20240811T150000
DTSTAMP:20260524T072258
CREATED:20240703T172607Z
LAST-MODIFIED:20240708T160659Z
UID:2215-1723377600-1723388400@www.hackf.org
SUMMARY:Mastering Machine Learning: Session #4
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-4/
LOCATION:Fogolar Furlan\, 1800 North Service Rd\, Windsor\, Ontario\, N8W 1Y3\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240812T180000
DTEND;TZID=America/Toronto:20240812T193000
DTSTAMP:20260524T072258
CREATED:20240805T163617Z
LAST-MODIFIED:20240812T154631Z
UID:2291-1723485600-1723491000@www.hackf.org
SUMMARY:CANCELLED: Machine Learning Project: Titanic Dataset
DESCRIPTION:📍 Hackforge HQ (300 Ouellette Ave\, Unit 210)💻👥 Hybrid💲 Free \n\n\n\nThe Titanic disaster of 1912 is one of the most infamous shipwrecks in history\, and it has been the subject of countless studies and analyses. In this event\, we will use the Titanic dataset to demonstrate fundamental data analysis techniques using Python. Participants will learn how to handle\, analyze\, and visualize data using powerful libraries like Pandas\, NumPy\, and Matplotlib\, all within the user-friendly environment of Google Colab. \n\n\n\nThis session is perfect for anyone interested in learning how to leverage Python for data science\, whether you’re a beginner or looking to sharpen your skills. \n\n\n\nKey Takeaways:\n\n\n\n\nData Exploration: Understand the structure and content of the Titanic dataset.\n\n\n\nData Cleaning: Learn how to handle missing values and clean the data for analysis.\n\n\n\nData Visualization: Create insightful visualizations to uncover patterns and insights.\n\n\n\nStatistical Analysis: Perform basic statistical analysis to interpret the data.\n\n\n\nMachine Learning: Build a simple predictive model to determine survival outcomes.\n\n\n\n\nTechnology Used:\n\n\n\n\nGoogle Colab: An online platform that allows you to write and execute Python code in your browser\, making it easy to collaborate and share your work.\n\n\n\nPython Libraries:\n\nPandas: For data manipulation and analysis.\n\n\n\nNumPy: For numerical operations.\n\n\n\nMatplotlib: For data visualization.\n\n\n\nSeaborn: For enhanced statistical graphics.\n\n\n\nScikit-learn: For building predictive models.\n\n\n\n\n\n\nWho Should Attend:\n\n\n\n\nStudents and professionals interested in data science and Python programming.\n\n\n\nBeginners looking to get started with data analysis.\n\n\n\nAnyone curious about the Titanic dataset and its applications in data science.\n\n\n\n\nPrerequisites:\n\n\n\n\nBasic understanding of Python programming.\n\n\n\nNo prior experience with data analysis or machine learning is required.\n\n\n\n\n📅 Monday\, August 12🕞 6:00 – 7:30 PMRegister to attend In-Person in the RSVP box belowRegister to attend Virtually via Zoom.
URL:https://www.hackf.org/event/machine-learning-project-titanic-dataset/
LOCATION:Fogolar Furlan\, 1800 North Service Rd\, Windsor\, Ontario\, N8W 1Y3\, Canada
CATEGORIES:Hybrid
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240813T180000
DTEND;TZID=America/Toronto:20240813T200000
DTSTAMP:20260524T072258
CREATED:20240730T210909Z
LAST-MODIFIED:20240802T164926Z
UID:2281-1723572000-1723579200@www.hackf.org
SUMMARY:Getting Started with Google Analytics 4
DESCRIPTION:📍 Hackforge HQ (300 Ouellette\, Unit 210)💻👥 Hybrid💲 Free \n\n\n\nIf you’re new to Google Analytics or are coming back to it after a while away\, you might need some help getting your bearings with this ubiquitous web traffic analyzer. In this free\, hybrid session learn the fundamentals of the system\, including definitions for all of the terminology\, and how all of the various elements tie together. \n\n\n\nUnderstanding where your website traffic comes from and how those users interact with your webpage is crucial for planning your marketing and online presence. If you’re a small business owner looking to up your game\, a web developer hoping to better understand how Google Analytics works\, or someone who just likes free learning opportunities\, you should join us! \n\n\n\nThe only requirement for this session is basic internet literacy. \n\n\n\nWhile we won’t be setting up your property for you during this event\, you will leave with the knowledge to to it yourself! You’ll also know: \n\n\n\n\nHow data collection works\, including limitations\n\n\n\nDefinitions for terms used throughout Google Analytics\n\n\n\nHow data aggregated and compared to create reports\n\n\n\n\nIf you enjoy this event and would like to see more on the topic\, be sure to let us know by emailing info@hackf.org \n\n\n\n📅 Tuesday\, August 13th⌚ 6 – 8 PMRegister to attend In-Person in the RSVP box belowRegister to attend Virtually via Zoom.
URL:https://www.hackf.org/event/getting-started-with-google-analytics-4/
LOCATION:Fogolar Furlan\, 1800 North Service Rd\, Windsor\, Ontario\, N8W 1Y3\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240818T120000
DTEND;TZID=America/Toronto:20240818T150000
DTSTAMP:20260524T072258
CREATED:20240703T172626Z
LAST-MODIFIED:20240708T160644Z
UID:2217-1723982400-1723993200@www.hackf.org
SUMMARY:Mastering Machine Learning: Session #5
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-5/
LOCATION:Fogolar Furlan\, 1800 North Service Rd\, Windsor\, Ontario\, N8W 1Y3\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240825T120000
DTEND;TZID=America/Toronto:20240825T150000
DTSTAMP:20260524T072258
CREATED:20240703T172652Z
LAST-MODIFIED:20240708T160627Z
UID:2219-1724587200-1724598000@www.hackf.org
SUMMARY:Mastering Machine Learning: Session #6 (Final)
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-6-final/
LOCATION:Fogolar Furlan\, 1800 North Service Rd\, Windsor\, Ontario\, N8W 1Y3\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240831T110000
DTEND;TZID=America/Toronto:20240831T130000
DTSTAMP:20260524T072258
CREATED:20240816T165650Z
LAST-MODIFIED:20240816T165650Z
UID:2325-1725102000-1725109200@www.hackf.org
SUMMARY:Exploring Peer Mentorship
DESCRIPTION:📍 Hackforge HQ (300 Ouellette Ave\, Unit 210)👥 In Person Only💲 Free \n\n\n\nHackforge’s goal has always been to create connections through\, with\, and over technology. This has resulted in a diverse group of individuals engaging with our programs\, staff\, and speakers – which we love! It has also helped us to see trends in the types of questions we’re asked and the stories we hear\, which has lead to our newest undertaking: peer mentorship groups. \n\n\n\nThere are common threads in the Hackforge community that surpass technology. We have folks in similar life stages\, people who have the same goals\, and those who share a similar background. We see a lot of opportunities for connections based on these commonalities\, and want to help you all establish them. \n\n\n\nOn Saturday\, August 31st from 11 AM to 1 PM we’re holding our first exploratory session on this topic. We’ll share ideas for how we believe job seekers can support each other\, and ways that established Windsorites can introduce transplants to the culture of our area\, but we also want to hear your ideas. What kind of group would you like to be a part of? How would you like to engage with others? \n\n\n\nYou should attend this event if you’re: \n\n\n\n\na student\n\n\n\na job seeker\n\n\n\nan established professional\n\n\n\na long-time local resident\n\n\n\na new local resident\n\n\n\ninterested in contributing to a welcoming\, supportive community\n\n\n\n\nPlease make plans to join us on Saturday\, August 31st for this casual\, conversational session. \n\n\n\n📅Saturday\, August 31st \n\n\n\n⌚ 11 AM – 1 PM \n\n\n\nRegister to attend In-Person in the RSVP box below
URL:https://www.hackf.org/event/exploring-peer-mentorship/
LOCATION:Windsor Hackforge\, 300 Ouellette Ave\, Unit 210\, Windsor\, Ontario\, N9A7B4\, Canada
CATEGORIES:In-Person
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