Build a Portfolio of Machine Learning Projects, and take your Career to the Next Level. This career-ready Masterclass is designed to help you gain hands-on and in-depth exposure to the domain of Data Science by adopting the learn by doing approach. And the best way to land your dream job is to build a portfolio of projects. And the best platform for a Data Scientist is Kaggle! Over the years, Kaggle has become the most popular community for Data Scientists.

I'm a physicist who works at a YC startup. Our job is to help new grads get hired into their first machine learning jobs. Some time ago, I wrote about the things you should do to get hired into your first machine learning job. I said in that post that one thing you should do is build a portfolio of your personal machine learning projects. But I left out the part about how to actually to do that, so in this post, I'll tell you how. If you don't have a track record, personal projects are the closest substitute.)

Online CRM and enterprise applications provider Salesforce.com has been snapping up different companies, small and large, in a series of acquisitions over the past nine months. The deals have added a range of capabilities to the company's existing portfolio, including cloud-based word processing, quote-price-configure software, and e-commerce. But most of the acquisitions focus on analytics, machine learning, and deep learning. CEO Marc Benioff has said that enterprise software and other systems that can analyze data and recommend the right course of action (that is, smarter and more predictive software) will shape the future of business software. At a Forbes CIO event in March, Benioff said, "This will be the huge shift going forward, which is that everybody wants systems that are smarter. Everybody wants systems that are more predictive, everybody wants everything scored, everybody wants to understand what's the next best offer, next best opportunity, how to make things a little bit more efficient."