How do I make a data science portfolio?

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How do I make a data science portfolio?

How do I make a data science portfolio?

How to Create a Data Science Portfolio in 6 Steps

  1. See the list of jobs. To create a portfolio for the job you want, start by understanding the skills you'll need to display to impress a hiring manager.
  2. Generate project ideas.
  3. Choose your messy data set.
  4. Clean and analyze.
  5. Make a good impression.
  6. keep going

Is Kaggle owned by Google?

Capital was raised in 2011 valuing the company at $25 million. On March 8, 2017, Google announced that they were acquiring Kaggle….Kaggle.

Is kaggle legit?

Kaggle is a community for data scientists that includes contests, microcourses, repositories, and project datasets. It's a great resource for people looking to expand their knowledge and keep their skills sharp.

How do you become a kaggle master?

To become a grandmaster in competitions, you need 5 gold medals and a solo gold medal. For datasets, the requirement is 5 gold medals and 5 silver medals and for notebooks, you only need 15 gold medals. As for the discussions, this is 50 gold medals and an insane amount of 500 medals in total.

How much can you earn with kaggle?

A typical Kaggle competition lasts 3 months, offers $000 in prize money and attracts around 1000 experts. At least the top 10% of these specialists, ~100 people are top quality, many others "just" good.

How long does it take to become a kaggle grandmaster?

There is no shortcut to becoming a Kaggle master in 1 year. My advice to you is to participate in discussion forums, post great cores, compete in competitions and win medals.

In this post, I will share my tips for Kaggle success.

  1. Be persistent.
  2. Spend time on data preparation and feature engineering.
  3. Don't ignore domain-specific knowledge.
  4. Choose your competitions wisely.
  5. Find a good team.
  6. Other philosophies
  7. In short: persistence and learning.

Kaggle Learn bills itself as "Faster Data Science Education," a free repository of microcourses covering a range of "practical data skills you can apply immediately."

How do you become a kaggle expert?

Well, to be honest, becoming a Kaggle Discussion Expert is the easiest way to become a Kaggle Expert… There are 4 different paths that will get you the Kaggle Expert title:

  1. Competitions (2 bronze medals)
  2. Datasets (3 bronze medals)
  3. Notebooks (5 bronze medals)
  4. Debates (50 bronze medals)

How do I learn data science from Kaggle?

How to get started with Kaggle

  1. Enter a Kaggle competition.
  2. Explore the competition data and learn about the competition theme.
  3. Prepare data for machine learning.
  4. Train a model.
  5. Measure the accuracy of your model.
  6. Prepare and make your first Kaggle presentation.

Why is Java so hated?

The whole reason for the Java hate is because back in the JVM 1.4 days, java was the language to use when you wanted to write BIG enterprise applications. because of this, people have resorted to porting some of the most popular languages to Java to abstract away the slowness of developing on top of the JVM.

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