Machine Learning Datasets

These are the datasets that you will probably use while working on any data science or machine learning project:

1. Mall Customers Dataset

The Mall customers dataset contains information about people visiting the mall. The dataset has gender, customer id, age, annual income, and spending score. It collects insights from the data and group customers based on their behaviors.

1.1 Data Link: mall customers dataset

1.2 Data Science Project Idea: Segment the customers based on the age, gender, interest. Customer segmentation is an important practise of dividing customers base into individual groups that are similar. It is useful in customised marketing.

2. Iris Dataset

The iris dataset is a simple and beginner-friendly dataset that contains information about the flower petal and sepal sizes. The dataset has 3 classes with 50 instances in each class, therefore, it contains 150 rows with only 4 columns.

2.1 Data Link: Iris dataset

2.2 Data Science Project Idea: Implement a machine learning classification or regression model on the dataset. Classification is the task of separating items into its corresponding class.

3. MNIST Dataset

This is a database of handwritten digits. It contains 60,000 training images and 10,000 testing images. This is a perfect dataset to start implementing image classification where you can classify a digit from 0 to 9.

3.1 Data Link: MNIST dataset

3.2 Data Science Project Idea: Implement a machine learning classification algorithm on image to recognize handwritten digits from a paper.