10 Machine Learning Datasets Project Ideas For Beginners in 2021

Discovering machine learning datasets is tenacious certainly, however it doesn’t should be! In this article, we’ve shared a number of datasets you need to use for machine learning projects. We’ve additionally shared particulars on what each dataset contains together with a link to them. Our record contains datasets of various fields and varied sizes so you’ll be able to select one in accordance with your interests and experience. 

Aside from that, we’ve shared project ideas for various datasets too so you can begin engaged on a project straight away. Engaged on initiatives will show you how to check your knowledge of machine learning algorithms. Let’s get began:

Machine Learning Datasets Project Ideas

1. The Kinetics Dataset

In the event you’re curious about utilizing AI for recognizing human interactions, then that is the proper dataset for you. Analyzing human actions and interactions, is an important a part of pc imaginative and prescient, the sphere of synthetic intelligence which research pictures and movies. Changing into adept in pc imaginative and prescient will show you how to in engaged on object identification, facial recognition, and different related purposes of the identical. 

This dataset has nearly 650k videos which have human-human interactions (comparable to hugging and shaking hands) in addition to human-object interactions (comparable to enjoying the guitar). It has 700 action classes the place every class has at the least 600 clips. Each clip has human annotation together with a single motion class. The length of each video on this dataset is around 10 seconds. 

Also Read: Top 10 Artificial Intelligence Tools & Frameworks

2. The Iris Dataset (Newbie-level)

In the event you haven’t worked on a machine learning project earlier than, then it’s best to begin right here. The Iris dataset is a well-liked alternative amongst ML students due to its simplicity and size. It accommodates information on the three species of iris (a flower) comparable to its sepal and petal size. 

One other title for this dataset is Fisher’s iris dataset due to its origin. Ronald Fisher had used this dataset in his 1936 paper. 

The Iris dataset has 4 columns with 150 rows. You possibly can create a classification model with this dataset. A classification model separates objects into different classes according to their attributes, and creating one may also help you learn the distinction between unsupervised and supervised learning too. 

3. The Mall Prospects Dataset

This dataset has info on folks visiting a mall. It accommodates a number of variables comparable to buyer IDs, annual incomes, ages, spending scores, and gender. The dataset has divided clients into completely different classes in line with their behaviors and tendencies. 

You should use this dataset to create a classification mannequin that segregates clients in line with their gender, spending rating, or annual earnings. This dataset is ideal for a buyer segmentation challenge, which is a well-liked software of AI and ML in enterprise. 

Firms use buyer segmentation to plot advertising and marketing methods and improve their ads. Engaged on this challenge will show you how to in understanding how you need to use machine studying algorithms for correct buyer segmentation. 

4. The Parkinson’s Dataset

Parkinson’s dataset is accessible amongst students who wish to use machine learning within the medical field. It’s among the many finest datasets for machine learning projects of the medical sector because it accommodates 195 instances together with 23 attributes. 

Parkinson’s illness is a dysfunction of the nervous system, and it impacts basic movement. The slow movement, lack of stability, and stiffness are a few of the most outstanding signs of this illness. You should use this dataset to create a mannequin that separates sufferers from wholesome folks by analyzing their signs and attributes to find out whether or not they have Parkinson’s or not. 

The usage of machine studying within the healthcare sector is getting extra in style each day. So in the event you’re curious about utilizing your machine studying experience in that sector, it’s best to begin right here. You possibly can take inspiration from these purposes of machine studying in healthcare.

5. Uber Rides Dataset

That is among the many finest machine studying datasets for visualization initiatives. The Uber Rides dataset accommodates info on uber rides that passed off between April 2014 and September 2014. Round 4.5 million uber rides passed off at the moment, so the dataset is kind of humongous. The dataset accommodates info on the places associated to these rides and different related information.

You should use the information current on this dataset to create stunning data visualization. Data visualizations assist in gaining useful insights from giant pools of data. Aside from that, data visualizations assist make higher selections in line with the uncovered insights. You possibly can take inspiration from these data visualization initiatives to get started.

Also Read: The 7 Types of Artificial Neural Networks ML Engineers Need to Know

Google Trends is a software that means that you can analyze Google searches and discover trending topics individuals are googling about. It’s a free but highly effective software and can give you a variety of data on people’s search patterns and trends. 

Google Trends means that you can discover what number of searches a selected keyword and its associated phrases received for a selected time. You can even use it to get information particular to a demographic. 

In the event you plan on utilizing machine learning for data analysis, then this is a gigantic dataset to get began. You will get as a lot information you need on any subject you desire. Google Trends is great for a newbie who hasn’t labored on many machine learning projects. 

6. The Kinetics Dataset

In the event you’re curious about utilizing AI for recognizing human interactions, then that is the proper dataset for you. Analyzing human actions and interactions, is an important a part of pc imaginative and prescient, the sphere of synthetic intelligence which research pictures and movies. Changing into adept in pc imaginative and prescient will show you how to in engaged on object identification, facial recognition, and different related purposes of the identical. 

This dataset has nearly 650k videos which have human-human interactions (comparable to hugging and shaking hands) in addition to human-object interactions (comparable to enjoying the guitar). It has 700 action classes the place every class has at the least 600 clips. Each clip has human annotation together with a single motion class. The length of each video on this dataset is around 10 seconds. 

7. GTSRB Data

GTSRB stands for German Traffic Signal Recognition Benchmark, and it’s an important challenge to carry out multiclass classification. This dataset has greater than 50k images together with info on them. The dataset additionally has 40 courses, and the actual visitors signal occasions on this dataset are distinctive inside it. 

It’s among the many finest datasets for machine learning initiatives when you think about its use instances. You possibly can research picture classification and create a framework to categorise different traffic signs.

Classification of traffic signs could be a essential a part of an autonomous vehicle (self-driving car), so in the event you’re within the purposes of AI within the automotive sector, it’s best to work on this project.

You can begin with a small part of this dataset in the event you don’t have a lot expertise in engaged on ML projects. 

Also Read: Top 9 Python Libraries for Machine Learning in 2021

8. The Boston Houses Dataset

The Boston Housing Dataset is among the many most popular datasets for machine learning projects. It’s appropriate for sample recognition projects and is a good way to train your ML knowledge. This dataset accommodates the US Census Service gathered info on the housing within the Boston Mass area and has around 500 cases. Within the dataset, there are 14 variables, together with the per capita crime rate, the typical variety of rooms in a house, and others. 

As a result of it has only a few instances (506 to be actual), it’s appropriate for brand spanking new machine learning professionals and students. You should use this dataset to create a model that predicts the costs of homes in that area in line with the information you discovered. 

You possibly can prepare the model with the costs of homes current on this dataset after which use it to foretell future costs in line with the situations of a selected space. With this dataset, you’ll be able to work on many related challenge concepts of regression and actual property. 

9. E-mail Dataset of Enron

This dataset accommodates around 5,00,000 emails of greater than 150 customers. All of those emails are of an organization referred to as Enron, and a lot of the emails current on this dataset are of its senior management team. If you wish to work on a natural language processing project, then it’s best to start right here. 

Enron’s e mail dataset is extensively in style for NLP projects, and also you’ll get to study a lot from this. You possibly can create a K-means clustering model and use it to establish any fraudulent actions by the texts of the emails. K-means clustering is an unsupervised ML algorithm and separates objects into k amount of clusters in line with their similarities. 

10. Image Dataset of Flickr

Flickr is an image hosting service with millions of customers worldwide. This dataset has 30,000 pictures with different captions. You should use this dataset to create a caption generator for pictures. This dataset is kind of well-known for picture analysis and picture description by text. 

You possibly can create a CNN (Convolutional Neural Network) model that analyses pictures and generates a caption in line with the options it identifies in a selected one. You possibly can prepare the model by the hundreds of captions accessible within the dataset. Constructing a caption generator provides you with a variety of expertise in learning picture analysis works and the way you need to use it in real-world cases.