ML Study Jam - Week 2: Intermediate Machine Learning

ML Study Jam is a learning opportunity leveraging accessible learning resources - Kaggle Learn, ML books, and free online courses. It includes hands-on assignments, tutoring, tech talks and group discussions. This is a great opportunity to join us and get started with ML.

Aug 24, 2023, 5:00 – 6:00 PM


Key Themes

AIKaggleMachine Learning

About this event

If you have some background in machine learning and you'd like to learn how to quickly improve the quality of your models, you're in the right place! In this course, you will accelerate your Machine Learning expertise by learning how to:

tackle data types often found in real-world datasets (missing values, categorical variables),

design pipelines to improve the quality of your machine learning code,

use advanced techniques for model validation (cross-validation),

build state-of-the-art models that are widely used to win Kaggle competitions (XGBoost), and

avoid common and important data science mistakes (leakage).

Along the way, you'll apply your knowledge by completing a hands-on exercise with real-world data for each new topic. The hands-on exercises use data from the Housing Prices Competition for Kaggle Learn Users, where you'll use 79 different explanatory variables (such as the type of roof, number of bedrooms, and number of bathrooms) to predict home prices. You'll measure your progress by submitting predictions to this competition and watching your position rise on the leaderboard!

For more details, you can check it out below πŸ‘‡


1. Have access to a Browser (preferably Google Chrome)

2. Sign up to Kaggle

3. Eager to Learn !!!

4.Have Completed "Intro to Machine Learning" course


  • Ngesa Marvin

    Founder, Nairobi AI | Arm AI Ambassador

  • Philomena Mbura

    Data Scientist | WTM Ambassador

  • Brayan Kai Mwanyumba

    She Code Africa Nairobi

    Technical Writer


  • Louise Mercy Jillo

    Interswitch Group

    Organizer - Party & Happiness

  • Tabitha Kavyu

    Organizer - Communications & Crew

  • Wayne Gakuo


    GDG Co-organizer & Crew

  • Ngesa Marvin

    Safaricom PLC

    Organizer - Strategic Partnerships, Content & ML

  • Cynthia Kamau

    Software Engineer | Programs Lead | WTM Ambassador

  • daisy okacha

    Partnerships & ML Organizer

  • Rachael Kimberly Msabeni

    WTM Ambassador

    UX Developer

  • Velda Kiara

    Organizer - Media and Blogs

  • Philomena Mbura

    WTM Ambassador

    Data Analyst/Scientist

  • Irene Onyango


  • Brian Ouma

    GDG Organizer

    Media & Designs

  • Teresia Kirung'o

    Organizer - Media & Communication

  • Wangari Njeri

    Organizer - Media & Communication

  • Marjan Hussein

    Organizer - Demo Zones

  • Brayan Mwanyumba

    GDG Co-Lead & Crew

  • prisca akinyi


    Organizer - Partners

  • Reuben Kihiu


    Product Designer

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