Quantitative Analysis

Are you Solo and Single!! Easily Make new 💑 friends🍻 with Speed Friending! No need for Apps 😀We are meeting for social drinks including soft drinks 🍺🍸🍷 at the Lemon & Duke Bar. We will be inside the Bar area. The Lemon & Duke Bar has also great food 🍗🍖🍰🍮 . Please, at least buy a drink or a soft drink or so, as we may not be welcomed again to certain bars. We will go to another late bar afterwards. So Dress Nice & neat please. Leave your surfing cloths and 🏖 surfboards at home please.😂 https://youtu.be/wD0Mm6WIcYs?feature=shared Many new people come solo to socialize and make new friends, so do not worry if you are solo, you are welcome to join us. I will introduce you to others in the group,so you are no longer solo. 😆Welcome to ask me questions about hiking gear and 🐬🐠🐡 scuba diving.

You'll meet your local guide at the meeting point a little before 11AM and show your booking. Then we'll commence a fascinating walking tour through the streets, sights, and sounds of Dublin old and new. You'll get an unrivalled insight to the history and culture that has shaped the capital you see today - warts and all, discover the lesser-known, intriguing oddities of our city, and get unique insider tips for the rest of your stay. Sites and topics covered include: Dublin Castle, Christchurch, Viking & Medieval Dublin, Temple Bar, fables, folklore and mythology, Trinity College, Stephen's Green, risings and rebellions, writers & rogues and so, so much more... please remember, places are limited and you must book your spot via: https://www.generationtours.com/dublin See you soon!

Hello! Free screening. Please book your ticket ASAP on Eventbrite. Meeting time: around 540pm. Take our seats time: 550pm. Film time: 6pm. Thanks! Alan Through Rocks and Clouds(2024) (Film 4/4 of Peruvian Film Screening Week!) Date: 27 mar • 18:00 https://www.eventbrite.ie/e/through-rocks-and-clouds2024-film-44-of-peruvian-film-screening-week-tickets-1983532496091?aff=ebdsshother&utm_share_source=listing_android&sg=aa3360161324b058e17050be574c8f26674c63726438c66c4ea0c19ae9be9a0bb63b95052c68f3d8d7abf9b0a2881ef64320fd0d08c254115ccbc22e6f75f45cdf678fe758fe9333cda2c34b43

Hi All, We are excited to invite you to another informative and coding session on Saturday morning. Come network with data enthusiasts, share ideas, projects, advance your analytics and programming skills. We recommend bringing a fully charged laptop. Agenda: 10:00 – 10:45 Building an actionable dashboard on short term rentals using Power BI by Henrique Ricardo and Krupa Patel 11:00 – 11:45 Tableau: Transform Your Data into Actionable Insights 11:45 – 12:30 Networking Curious about turning data into beautiful visual stories? Join our PowerBI and Tableau analytics technologies for a friendly, hands-on session perfect for beginners! We’ll guide you step by step—from connecting to your data and creating your first charts, to exploring simple dashboards and interactive visualizations. No prior experience needed—just bring your curiosity and a willingness to learn. You’ll pick up practical tips, see real examples, and leave ready to start creating your own data insights with confidence. Let Roman Golovnya know if you're interested in hosting the next event or presenting at future meetups. You can contact him via meetup messages or email [roman.golovnya@gmail.com.](http://roman.golovnya@gmail.com./)

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 an end‑to‑end object detection workflow using the **DETR** model from Meta AI, powered by **Hugging Face Transformers** and **PyTorch** based on a Hugging Face tutorial. We will use a small public dataset, walk through data preprocessing, fine‑tuning the model, evaluating performance, and finally running inference on a **new, unseen image** containing a similar object that was not part of the training set. You will receive a Jupyter notebook with clean, reusable code covering every step. No setup required beyond a laptop and a Google account to run everything in Google Colab. **The tutorials are limited to 15 participants and you can reserve your spot either here or by emailing aureliem219@gmail.com. Please make sure to book as soon as possible, as the registration count on Meetup does not guarantee availability.** **For more information about the tutorials:** * 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. * 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. This tutorial take place at the **Grafton Hotel, 32 Stephen Street Lower, Dublin 2** (We will be sitting in the lobby in the corner or on the right handside). It will run from **3 pm** to **4.30 pm**. **Grafton Hotel, 32 Stephen Street Lower, Dublin 2** * 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 at the Diving Bell, jog for 20/30 min. People are free to walk/take things at their own pace. Meet at Cool Hand Luke at 11 for Coffee and Chat.

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We will try to secure a table downstairs in the venue in order to keep the location consistent. New people who know nothing about Linux are welcome and encouraged to attend, please don't be shy. If you are new please feel free to approach one of the organisers, and we'd be only happy to help explain things as best as we can, we honestly don't mind and don't judge. We were new once ourselves :) Please note that in general, these are adult friendly meetups, therefore, we are not responsible for those under 18 in attendance. We may have events targeted at children in the future. As with any Meetup, please try to stick to your RSVP or change it to No if you can't come.

**The Data-Driven Brand: Using Analytics to Shape Perception** Can you use analytics to improve tacos? This being CBUSDAW, we think the answer is probably “yes”, but we’re not sure how to implement or test this theory. For our April meetup we’ve got Sara Kear, CMO of Condado Tacos, to investigate this delicious question. Sara will explore how she blends quantitative data and qualitative customer feedback to shape brand positioning and drive business decisions. We all know that marketing and analytics go way beyond attribution. Sara will show how Condado uses customer insights to inform product and pricing strategy. She’ll also highlight how Condado leverages customer feedback at scale to influence operational priorities, positioning marketing as the voice of the customer across the organization. In the last 12 years Condado has gone from one location in Columbus to 52 locations across 10 states, so we’re guessing there’s more to that growth than really good guac (though the guac probably helps). Ultimately, this talk focuses on the intersection of art and science—using data to inform creativity and build a brand that resonates with customers in a measurable way. **About Our Speaker** Sara Kear is Chief Marketing Officer at Condado Tacos, where she oversees brand, restaurant design, menu and pricing strategy, off-premise including catering, and customer data strategy. Since joining in 2021, she has helped grow the brand from 19 to 52 locations while building a data-driven marketing organization focused on loyalty and customer insights. Condado has since been named to the Inc. 5000, recognized as Breakout Retailer by Chain Store Age, and consistently ranked among FastCasual’s Top 100 Movers & Shakers. Thanks to our 2026 sponsors: [Clarivoy](https://www.clarivoy.com), [What Box Consulting Group](https://www.whatboxconsultinggroup.com), [Conductrics](https://www.conductrics.com), and [Piwik PRO](https://piwik.pro) More info at [cbusdaw.com](https://cbusdaw.com)

The Fellowship of the Star Schema: Transforming OLTP Data for Power BI One does not simply build reports on OLTP data. Join us on an epic journey from the depths of raw, normalized tables to the shining halls of a well-modeled star schema fit for Power BI greatness. We will demystify the differences between OLTP and OLAP, walk through star schema vs snowflake (and why Power BI has a clear favorite), and show you the compression differences between normalized and columnar storage that will make you never look at an OLTP model the same way again. We will cover the different types of dimensions, when to use them, and how to handle Slowly Changing Dimensions without losing your mind. You will leave knowing exactly how to identify a bad model, how to convert OLTP data into a clean star schema, and how to forge relationships that rule them all. Whether you are a data wizard, a curious hobbit, or somewhere in between, your models will never be the same.

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**Improving Office in Franklinton** Physical location: Improving Office 330 Rush Alley Suite #150 Columbus, OH 43215 Schedule: 6:00 p.m.: Socialize, eat, and drink. Improving will be providing pizza and beverages. 6:30 to 8:00 pm. Main meeting and presentation(s). Topic: Type Annotations with John Cassidy We meet on the last Monday of each Month. Presentations are given by members and friends of this group. If you would like to do a presentation (small or large) on a python topic, please contact Central OH Python at centralohpython@gmail.com

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A fun way to compare wines from two different countries at a time. House Wine is squaring off two countries' wines against each other each Thursday in March. March 12, March 19, March 26, and the Finals April 2nd. Meet and Greet format....show up after 7pm, pay your $15 at the cash register, get your wine glass, and enjoy. I will get a table reserved for the group. Remember, you may bring in your own food or takeout. Attendance is your agreement to the Group's Waiver of Liability terms. See our Group homepage for details. Parking is tough at House Wine; there is a municipal lot one-half block north of the shop and sometimes parking at the lot behind Jet Pizza, accessed by the lane between the east House Wine parking lot and the residence to the east.

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.