How to get started with Kaggle as a Data Scientist

How to get started with Kaggle as a Data ScientistGoldenGateProBlockedUnblockFollowFollowingNov 21, 2017FAQs answered by Golden Gate ProWhat is Kaggle?Kaggle is a rapidly growing community of data scientists and data enthusiasts.

The platform enables you to learn from and mentor each other on your personal, academic, and professional data science journeys.

It is described as the home of Data Science & Machine Learning.

How to get started?Sign up here.

Find a competition to start with.

There are competitions for learning and competitions for prizes and points.

 A great dataset to start with is Titanic: Machine Learning from Disaster, and it’s the best intro if you’re new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions.

You can practice your R and Python skills with this competition.

Fork a kernelKaggle Kernels is an in-browser computational environment that is fully integrated with most competition datasets.

Kernels is scripts and notebooks preloaded with most data science packages and libraries.

Fork one and get started.

How to collaborate and find help?Start a thread at the forum.

Join KaggleNoobs on Slack.

Read “No Free Hunch”, the official blog of Kaggle.

com, to get more insides.

What’s next?Explore the open datasets on everything from government, health, and science to popular games and dating trends.

Use them to export your own results.

Get competitive and improve your ranking or win a competition.

Take a look at the Job Board, to find out which skills are most wanted for the data scientist.

Read the Data Science & Machine Learning Report 2017, to find out everything about the latest trends.

Follow #kaggle on twitterDo you have 2 free weekends on January?Join us at the Data Science Workshop organized by Golden Gate Pro in Thessaloniki!.Learn all about Data Science and the tool you’ll need to use as a data professional.

We’ll talk about theory, datasets, kaggle and we’ll analyze data by using Python and libraries like Pandas, Seaborn and ScikitLearn.

For more information click here : http://goldengatepro.


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