There are two ways to start a new data science project, you either have an idea that you want to implement, so you look up datasets to use to make your vision come to life. Or, you come across an exciting dataset that inspires you to start a new project.
Often, as a beginner, you’ll probably be a little lost, looking around for a good place to start a project. For me, a good starting place was always finding an interesting dataset that triggers my curiosity.
Well, this article is about looking for datasets to inspire you. When you stumble across an intriguing dataset, with so much potential that sparks the creativity within you and you can’t help but using to build something great.
Wherever you are on your data science journey, just starting out, or trying to grow your skills and maybe build new ones, there is no better way to improve a skill then practice it. The more projects you build, the more fluent in data science you will get, and the better and more appealing your profile will become.
In order to increase your data science skills and establish a good set of skills needed to build a strong profile, you need to tackle the 5 aspects of data science:
- Deep Learning
- Natural Language Processing
- Big Data
- Machine Learning
- Image Processing
#technology #machine-learning #software-engineering #programming #data-science
