Kaggle is a Data Science community owned by Google. You will find thousands of datasets and case studies on Kaggle to improve your Data Science skills. So, if you are looking for some case studies to practice your Data Science skills, this article is for you. In this article, I will take you through some of the best Kaggle case studies for Data Science beginners.
Kaggle Case Studies for Data Science Beginners
Below are some of the best Kaggle case studies for Data Science beginners you should try after learning the fundamentals of Data Science.
Iris Flower Classification
The Iris dataset is a popular dataset among the Data Science community. Many educational institutions use this dataset to teach the fundamentals of machine learning. The data contains 50 samples of three types of Iris species (Iris Setosa, Iris Virginica, and Iris Versicolor). The data has features based on the length and width of the sepals and petals of the Iris flowers.
Your end goal here is to train a classification model to classify iris species based on the length and width of their sepals and petals. You can find this dataset and case study here.
California House Price Prediction
The California House Price dataset is an ideal dataset to implement your regression analysis skills. This dataset is also used in the popular Machine Learning book “Hands-on Machine Learning with Scikit-learn, Keras, and Tensorflow”.
The dataset contains information from the California census of 1990. It contains features like longitude and latitude, total rooms, total bedrooms, and many other features which are enough to predict the price of a housing property.
This case study will help you implement the fundamentals of Machine Learning for regression analysis. You can find this dataset and case study here.
Titanic – Machine Learning for Disaster
The Titanic case study is among the most popular competitions on Kaggle. Here you are required to train a model to predict the passengers who survived the Titanic shipwreck.
Researchers analyzed that some groups of people were more likely to survive the sinking of the Titanic than others. In the dataset, you will find many helpful features that will help you classify and make clusters to find the type of people who were most likely to survive.
You can find this dataset and case study here.
These case studies are enough for beginners, and you can easily find many resources on the internet to solve these case studies differently. That’s what makes these case studies must try for every Data Science beginner.
So some of the best Kaggle case studies for Data Science beginners are:
- Iris Flower Classification
- California House Price prediction
- Titanic – Machine Learning from Disaster
So these were some of the best Kaggle case studies for Data Science beginners. Feel free to ask valuable questions in the comments section below.