Get Familiar with ML basics in a Kaggle Competition
How to get familiar with Machine Learning basics and how to start a model prediction using basic supervised Machine Learning models.
Build, train, test and evaluate the performance of some models.
Submit your first solution on the Kaggle platform.
In this 1-hour long project, you will be able to understand how to predict which passengers survived the Titanic shipwreck and make your first submission in an Machine Learning competition inside the Kaggle platform. Also, you as a beginner in Machine Learning applications, will get familiar and get a deep understanding of how to start a model prediction using basic supervised Machine Learning models. We will choose classifiers to learn, predict, and make an Exploratory Data Analysis (also called EDA). At the end, you will know how to measure a model performance, and submit your model to the competition and get a score from Kaggle. This guided project is for beginners in Data Science who want to do a practical application using Machine Learning. You will get familiar with the methods used in machine learning applications and data analysis. In order to be successful in this project, you should have an account on the Kaggle platform (no cost is necessary). Be familiar with some basic Python programming, we will use numpy and pandas libraries. Some background in Statistics is appreciated, like as knowledge in probability, but it’s not a requirement.
Skills you will develop
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Getting Started with Kaggle
Exploratory Data Analysis (EDA)
Preprocessing I - Taking care of Missing Values
Preprocessing II - Taking care of Missing Values
Preprocessing III - Encoding Categorical Data
Split the Train & Test datasets
Building our Machine Learning Models
Submit your project on Kaggle
How Guided Projects work
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
Reviews
TOP REVIEWS FROM GET FAMILIAR WITH ML BASICS IN A KAGGLE COMPETITION
Great to start with the basics but needed a little more explanation on libraries
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