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Meeting in the car park at Zipit car park at 9.40am. Use drop pin for exact location. This hike is in and around Tribadden, DMW, Cruagh mountain and Woods and a few bits in between, covering a distance of approx. 15km Appropriate hiking gear is a must on all of my hikes. Bring lunch and drinks of your choice. Coffee afterwards as usual in Zipit car park cafe.

**IMPORTANT:** In order to secure your spot you must RSVP through the WeMeet app [here.](https://www.weroad.com/wemeet/events/dublin/walking-club-explore-dublin-s-christmas-market-99526881-0c50-4ae2-be1b-9aac88620c66) **Christmas markets, trying mulled wine, festive treats, and discovering magical corners of the city — but somehow, no one is free to join?** Well, no more strolling alone. Welcome to **Walking Club's Christmas Market Edition**. An opportunity to make your seasonal dreams come true and share the magic. You'll be exploring the **Smithfield and Henry/Mary Street markets.** ✨ **Why join?** – Meet people like you who enjoy exploring Christmas Markets – Indulge in mulled wine – Get in the season's spirit 📌 **How it works:** – Meeting point revealed the day before via **in app notifications** – A relaxed market crawl outlined for you – **Virtual host**: everyone brings the magic – **Whatsapp group** to be in communication with the group The perfect cosy, winter plan.

Join the group for coffee, a chat and bring your project upstairs in Starbucks on Westmoreland Street from 12-2.30pm (or sometimes longer!). There is a lift for those with mobility issues but please check with staff if it's working. There's no charge for the meetup but we ask please that you join our Whatsapp group if you plan on staying with the group. Cost is only €5 a year to pay for Meetup subs etc.

My name is Aurelie and I'm graduating with an MSc in Artificial Intelligence from the University of Limerick. I run monthly **machine learning** and **deep learning** tutorials in Dublin with a small group of people. \*\*In this tutorial, we will build a **Support Vector Machines** model using the **Support Vector Regression** built-in algorithm from **Scikit-learn**. Together, we will walk through the full pipeline from data preprocessing to model training and evaluation. This will include looking at correlations , removal of outliers and GridSearchCV. * The tutorials are interactive and will be conducted using **Jupyter notebooks** on **Google Colaboratory** (a free, cloud-based platform that lets us write and run code directly in the browser). While **Google Colaboratory** is free to use, tasks that require more computational power (such as training deep learning models) may benefit from GPU access. In that case, Google offers a once-off payment for around €10 which can last several months depending on your usage. Some familiarity with **Python** or other programming languages is helpful but not required. Everyone is welcome to join and learn at their own pace. * The tutorial lasts for 1.5 hours from **3** to **4.30 pm**. * During the tutorial, I share the Jupyter notebook with participants so they can keep it for future reference. We go through the notebook step by step together and I do my best to answer any questions along the way. * The notebook includes the complete code from data preparation to model training and evaluation. It can be reused or adapted for your own business needs or personal projects * We will be working with a variety of **Python** libraries including **Scikit-learn**, **PyTorch**, **TensorFlow**, **Keras**, **Seaborn**, **Pandas** and **Matplotlib** and the **Hugging Face** framework. These tools will help us explore different machine learning and deep learning techniques using publicly available datasets. * Each tutorial focuses on a different algorithm in depth. Topics covered include **linear regression**, **logistic regression**, **K-means clustering**, **decision trees**, **artificial neural networks (ANNs)**, **convolutional neural networks (CNNs)** for image classification, **object detection** and **natural language processing**. The goal is to break down each technique step by step, making it approachable and practical for real-world applications. The tutorials take place at the **Camdem court hotel in Dublin 2** at **the bar or the restaurant** if the bar is full (coffees need to be ordered at the restaurant). It will run from **3pm** to **4.30 pm**. **If the bar is busy ,we' ll meet at the restaurant.** **Camdem court hotel** **Camden Street Lower, Saint Kevin's, Dublin, D02 W086** * The tutorials are a high-level practical introduction to machine learning and deep learning and the emphasis on understanding how we process the data , train and evaluate a model with Python. We won't cover the mathematics behind it however some tutorials may have mathematical formulas as part of the algorithm explanation and some tutorials might have more complex data preprocessing as it depends on the datasets and the task we are doing. However the tutorials focus on the practical part! * *Payments need to be made in advance to secure your place and fees are non-refundable unless I need to cancel the event, in this case refunds will be made.*

Meet-Up Hike We are meeting at Tara Street for 10:30, meeting beside Fresh (shop) opposite side of the Ticket Machines. We will wait five minutes so please be early. After we will walk to Poolpeg Street, the Bus 47 (Dublin Bus) is scheduled for 10:45, the bus duration is 45 minutes (estimation). We will be getting off at Belarmine Drive. Then it is 11 Minute walk to start. You can get on the Bus from Stillorgan Laus Stop and from Sandymount Bus Stop also. There is a Fernhill Car Park also (which is 12 minutes away) Walk is 2 1/2 - 3 hours long (Distance 6KM).

Mix of paces in this group from 6:30 min per km to close to 5 min per km. For those that want to do a longer distance, they will probably start earlier and link up with us for 9AM If you are doing one of the earlier runs (Such as Harry's run), please sign up for this too. Ideally we will run the trails if they are not too wet. Meet near the bus stop at the visitors centre car park. If you have any question, please get in touch. Appreciate if you can sign up as early as possible. If you have any suggestions for changes, let me know. Thanks Shane

The December Ohio North Database Training user group meeting will be held on **January 6th, 2025 at 5:00PM**. This will be a **HYBRID** event and we will be joined online by **Jason Romans**. You're welcome to come meet in-person at our meeting location, the offices of Improving at **[6000 Freedom Square Dr,](https://www.google.com/maps/place/Improving/@41.4004167,-81.6614462,17z/data=!3m2!4b1!5s0x8830e5b8255c5919:0xd8297060eb68fe04!4m6!3m5!1s0x8830dc7a0fe35dc9:0xbfc4710ecadfc5c!8m2!3d41.4004127!4d-81.6588713!16s%2Fg%2F1hm3hkqp3?entry=ttu&g_ep=EgoyMDI1MDQzMC4xIKXMDSoASAFQAw%3D%3D)** **[Unit 110,](https://www.google.com/maps/place/Improving/@41.4004167,-81.6614462,17z/data=!3m2!4b1!5s0x8830e5b8255c5919:0xd8297060eb68fe04!4m6!3m5!1s0x8830dc7a0fe35dc9:0xbfc4710ecadfc5c!8m2!3d41.4004127!4d-81.6588713!16s%2Fg%2F1hm3hkqp3?entry=ttu&g_ep=EgoyMDI1MDQzMC4xIKXMDSoASAFQAw%3D%3D)** **[Independence, OH 44131](https://www.google.com/maps/place/Improving/@41.4004167,-81.6614462,17z/data=!3m2!4b1!5s0x8830e5b8255c5919:0xd8297060eb68fe04!4m6!3m5!1s0x8830dc7a0fe35dc9:0xbfc4710ecadfc5c!8m2!3d41.4004127!4d-81.6588713!16s%2Fg%2F1hm3hkqp3?entry=ttu&g_ep=EgoyMDI1MDQzMC4xIKXMDSoASAFQAw%3D%3D)** [Teams Link ](https://teams.microsoft.com/l/meetup-join/19%3ameeting_N2Q3ODVjM2YtNDQ1NS00MDBjLWI5MzYtNDQ3YmFlZjkzMjAx%40thread.v2/0?context=%7b%22Tid%22%3a%22b966f302-6b93-4686-9041-c084635642c5%22%2c%22Oid%22%3a%2278c760cb-657f-46aa-bd2f-7066d9403bdb%22%7d)if anyone needs it after RSVP-ing for in person. If you would like to subscribe to our email list outside of Meetup, we have changed platforms recently and you will need to register [here in Kit ](https://ohio-north-data-training.kit.com/b8f036f615)instead to receive emails. Agenda: **5:00 PM EST**: Online and in-person meeting begins with a social hour. This is an unstructured hour where you can join us to catch up and meet other group members before the session starts. There will be food brought in for in-person attendees. **6:00 PM EST**: Updates and announcements, followed by our feature presentation. See below for presentation details. **7:30 PM EST**: Optionally after the main presentations, the in-person crowd may go out for snacks and drinks at a local establishment. We hope to see you there! Session Abstract **Data on Fire: A Hands-On Intro to Spark in Fabric** Curious about Apache Spark but not sure where to start? This hands-on session introduces you to Spark in Microsoft Fabric Notebooks—a powerful and accessible way to process and analyze big data using familiar tools in the Microsoft ecosystem. We’ll break down key Spark concepts like distributed computing, DataFrames, and lazy evaluation, then show how they come to life inside Fabric’s notebook experience. You’ll see practical demos that cover loading, transforming, and analyzing large datasets—while leveraging Fabric’s modern data stack, including OneLake, Dataflows, and Pipelines. You’ll also learn how to choose between Spark and pure Python notebooks in Fabric, based on execution needs, data integration, and use case fit. Whether you're a SQL pro, BI developer, or data engineer, this session will give you the tools and confidence to start using Spark in your own projects—no cluster management required. \*Please note, that we will be using Microsoft Teams for the online portion of this meeting. You may want to join a few minutes early to ensure you do not have any issues. If you are attending in person, there are large TVs at the office, and you do not need to bring a laptop or use Teams.

Hey there Black Love Friends! We're back for the final week of our 2025 **Pre-Resolution Fitness Challenge!** this week we will be at Franklin Park Conservatiry! Every Sat for the rest of 2025 we will be hosting a new challenge at a new park where all fitness levels are welcomed. What a great way to get a jump start on those fitness resolutions and make some new connections in the process. Don't wait reserve your spot today!

Monday December 29th at 6PM we'll be meeting up dinner at the Pies & Pints at Easton. Feel free to bring guests. Sandwiches run about $15 and large pizzas run $20-30.

Some trained COUNT volunteers work together once a month at RMH (http://www.rmhc-centralohio.org/volunteer.php) as Housewarmers (usually on the 1st Sunday from 1 – 5 PM). Some schedule other shifts at their convenience. You may try this out with less fuss by following a "Fast track" or go through the normal process. Fast track • Arrange a time to shadow a COUNT volunteer. Call Dave Nohle at 614-268-9558 (cell). • Show up and try it out. • Complete application, etc. later. Normal process • Complete an online application (http://rmhc-centralohio.org/volunteer/). • Attend orientation in advance. • At orientation you will complete forms agreeing to keep family/patient info private and allowing a background check and tour the facility. • Complete one training shift. Daily shifts are: morning 9 AM - 1 PM, afternoon 1 - 5 PM and evening 5 - 9 PM. • Schedule shifts online using the on the RMH scheduling system (http://www.volgistics.com/ex/portal.dll/?FROM=32895). The Ronald McDonald House (RMH) provides housing and meals for families with sick children. The Columbus RMH is the largest in the world with 137 rooms. COUNT has been volunteering there since May 2014. Housewarmers work with RMH guests to provide a home-like environment - greet, assist with family needs, answer phones, give tours, assist with checkin/checkout, prepare guest rooms after checkout, clean facility, laundry, restock supplies and staff the front desk. RMH Housewarmers volunteer at least one four-hour shift a month. All Housewarmers must complete an application and agree to a background check before they can be full fledged volunteers.

Join us for a casual chat over coffee & tea at Grandview Grind! Come out and meet some new people, enjoy your favorite drink, and make some new friends!

Join us for pizza, drinks and conversation! Gatto’s Pizza began in a small shop on North High Street in the neighborhood of Clintonville, Columbus, Ohio. It was 1952 and the brothers, Joe and Jimmy Gatto, opened the pizzeria to serve their community, using family recipes to make fresh dough, sauces, meatballs, and Italian sausage.