UNITED NATIONS DAY ML CHALLENGE

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This event offers a hands-on opportunity to develop machine learning models focused on real-world issues aligned with the Sustainable Development Goals (SDGs). Participants will engage with a provided dataset to predict outcomes related to critical topics such as climate action, health, and clean energy.

The challenge emphasizes practical applications of machine learning techniques, equipping participants with the skills and knowledge needed to address current global challenges. This immersive experience combines practical exercises with impactful objectives, ensuring that learners are ready to tackle the demands of today’s data-driven landscape.

WORKSHOP ON ESSENTIAL AZURE

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This workshop provides an extensive overview to the fundamental Azure services used in data engineering. Participants acquire hands-on experience developing, coordinating, and monitoring data pipelines, transforming data using Databricks and Spark, and doing sophisticated data analysis with Azure Synapse Analytics.

The session focuses on integrating Azure's data services to manage complex data operations, equipping students with the skills and knowledge needed to succeed in Azure data engineering. It integrates hands-on exercises with real-world scenarios to guarantee that learners are prepared for the challenges of current data engineering work.

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MENTORSHIP PROGRAMME

Greetings from the FODSE CLUB✨

Join our peer-to-peer mentorship program, where mentees will learn about data science and machine learning from experienced seniors. This collaborative environment fosters personalized support and insights as you dive into the world of data, helping you build a strong foundation in this ever-evolving field. Engage in hands-on projects that allow you to apply your knowledge in real world scenarios, moving beyond traditional tutorials.

Connect with a vibrant community of like minded data enthusiasts within FODSE, enhancing your network and collaboration skills. Additionally, earn certificates that recognize your achievements, boosting your professional profile and showcasing your commitment to growth in the data science arena.

Ease The Error 4.0

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Ease the Error 4.0 was a 24-hour inter-college Hackathon conducted on the 6th and 7th of April 2024 with the combined effort of the Forum of Data Science Engineers (FODSE) and The Institution of Electronics and Telecommunication Engineers – Student’s Forum (IETE).

During the entire event, the mentors and alumni periodically surveyed the progress of all the teams and also provided technical knowledge and mentoring when required. The teams pushed themselves to innovate new models and solutions for their problem statements. Food and refreshments were provides with cash prizes and certificates.

Mentorship Program

Greetings from the FODSE CLUB✨

The Mentorship Programme at the Forum Of Data Science Engineers (FODSE) aimed to introduce beginners to Data Science and Python programming. Through Google Meet sessions, participants engaged with experts, learning Python basics, data structures, and machine learning concepts. The interactive approach and assignments helped solidify understanding, fulfilling the program's goal of nurturing novice Data Science enthusiasts.

More than 20 aspiring data enthusiasts took advantage of this event to give a boost to their data science journey.✨

VIZ-A-THON

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"Viz-A-Thon: The Art of Visual Data" was a dynamic data visualization challenge held on October 27th, 2023. The event comprised two rounds focusing on data cleaning and visualization, fostering collaboration among participants.

The event aimed to familiarize students with modern visualization tools and techniques while addressing key program outcomes such as problem analysis and teamwork. Participants engaged in practical data analysis and visualization tasks,culminating in a comprehensive judging process led by a diverse panel. The event concluded with winners announced on social media, followed by a heartfelt vote of thanks.

INAUGURAL’23

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The Forum of Data Science Engineers (FODSE) inauguration at SVCE, organized by the Department of Electronics and Communication Engineering in collaboration with the Department of Information Technology, was a meticulously orchestrated event held on September 20, 2023.

The ceremony reached its pinnacle with the distribution of badges and certificates, recognizing the dedication and talent of the newly appointed office bearers and mentors. This event not only inspired students but also highlighted the transformative potential of data science in fostering innovation and driving positive social change.

Scraper's Soiree

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The Forum of Datascience Engineers (FODSE) organized the "Scraper's Soiree," a web scraping event focused on automating data extraction from websites using code. This event allowed participants to enhance their skills in retrieving and analyzing data for various applications. It offered a hands-on experience in harnessing web scraping techniques, enabling students to explore real-world applications of data collection and analysis through automation. The winning team, TrueDamage, consisted of VigneshRaju who tackled the problem statement 'Machine Learning'. The runner-up team, TechTitans, included Robinkumar and Magesh who tackled the problem statement in 'Artificial Intelligence'. A special mention was given to LSK which included Kiran Sekar and LathikaaShri who worked on 'Web Development'.

INAUGURAL’23

Greetings from the FODSE CLUB✨

The Forum of Data Science Engineers (FODSE) inauguration at SVCE, organized by the Department of Electronics and Communication Engineering in collaboration with the Department of Information Technology, was a meticulously orchestrated event held on September 20, 2023.

The ceremony reached its pinnacle with the distribution of badges and certificates, recognizing the dedication and talent of the newly appointed office bearers and mentors. This event not only inspired students but also highlighted the transformative potential of data science in fostering innovation and driving positive social change.

FODSE

UPCOMING EVENTS

Web scraping event: Automated extraction of data from websites using code, facilitating information retrieval for various applications or analysis.