📅 Date: 9d February

⏰ Time: 4PM

🌐 Location: Virtual

What’s Happening This Week?

In Week 1: Intro to Machine Learning, we’ll focus on:

✔️ A brief introduction to Intro to Machine Learning

✔️ An overview of key topics and how to study them

✔️ A step-by-step guide to completing the Kaggle course independently

This will equip you to dive into self-paced learning and make the most of the materials provided.

This session is beginner-friendly and perfect for those eager to kickstart their journey into machine learning.

Requisites for Week 1:

1️⃣ Access to a browser (Google Chrome preferred) 🌐

2️⃣ A Kaggle account ✅

3️⃣ Optional* Completion of the Pandas 🐼 microcourse: https://www.kaggle.com/learn/pandas

4️⃣ An eagerness to learn and collaborate! 💡

After this session, participants will work through the course materials at their own pace. This foundational knowledge will prepare you for the more advanced topics in the upcoming weeks. 🚀

Complete Series Overview

This program unfolds across multiple weeks, offering foundational insights and advanced explorations into machine learning and generative AI.

ML Study Jam Weekly Plan:

Intro:

1️⃣ Week 1: Intro to Machine Learning, Pandas

2️⃣ Week 2: Intermediate Machine Learning, Feature Engineering

3️⃣ Week 3: Intro to Deep Learning, Computer Vision

4️⃣ Week 4: Time Series, Intro to AI Ethics

Apply machine learning to real-world forecasting tasks:

5️⃣ Week 5: Foundational Models & Prompt Engineering

6️⃣ Week 6: Embeddings and Vector Stores/Databases

7️⃣ Week 7: Generative AI Agents

8️⃣ Week 8: Domain-Specific LLMs

9️⃣ Week 9: MLOps for Generative AI

#GDGAhlen 

#MLStudyJams

#Kaggle

#MachineLearning

#IntroductionToML