AutoML libraries are very useful tools for a Data Scientist and can actually make us save a lot of time. According to th

All these courses teach how to use different libraries to analyze data and make predictive models. But I wanted to learn to develop the machine learning models from scratch, not only from a library. I found another great machine learning course offered by Professor Andrew Ng of Stanford University.

Refs are a seldom-used feature in React. If you’ve read the official React guide, they’re introduced as an “escape hatch” out of the typical React data flow with a warning to use them sparingly. They’re primarily billed as the correct way to access a component’s underlying DOM element.

When the user clicks on a cell in the table, the side drawer can be opened to edit that cell’s corresponding row. In other words, what we render in the side drawer is dependent on the currently selected row — this should be stored in state.

One morning I received an email that LaunchCode is offering a free BootCamp in Miami that is called CS50. Miami Dade College will host it. That was Harvard University’s introduction to the computer science course. They videotape their classrooms and LaunchCode uses that for their Bootcamp. That course is also available in edx and can be taken for free using the audit option.

“useRef() is useful for more than the ref attribute. It’s handy for keeping any mutable value around similar to how you’d use instance fields in classes.” — React’s documentation

I secretly wanted to work in the Data Science and Artificial Intelligence industry but I thought that’s probably too hard. I thought I needed more coding expertise before I can start that.

After Bootcamp, I kept practicing PHP, SQL, JavaScript, and WordPress! I was still teaching and was hating my job. I was desperate to find another career. I think most people start thinking of a different career because they are not happy in their current job or not making enough money. And then because of a lot of buzz about Data Science, focus shifts there.

I took more classes in Udemy and Udacity and was applying for jobs as a web developer. I worked as a web developer in a startup for a couple of years. While working there, I thought I probably know enough to try Data Science now.

While taking this machine learning course, I realized I need to develop more statistics knowledge. I took a probability and statistics course in college. But that wasn’t enough. This course on Coursera helped me a lot:

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Notebook code to the server-side is not a trivial process. A webserver needs to fetch new data, process it, apply the strategy and test the hypothesis. It also needs to serve a status page so that we can observe the progress (not necessary, but it is a nice thing to have). Also, the question arises where to host the server? It needs to be always on so a laptop is out of the question.

As you can see I use Coursera a lot! It has a lot of great courses. But it takes some time to find a good course that is suitable for you. A lot of time I started a course and after I have done it halfway I realized this is not for me. So, there will be some time laps there. If you are totally new to Coursera and do not know how to take courses for free there, here is a six minutes tutorial for that:

AutoML libraries are very useful tools for a Data Scientist and can actually make us save a lot of time. According to the business context we work on, we may need to work only with certain models or cleaning procedures, so we need our customized version of AutoML.

I made a community of coders and got familiar with the essentials of coding like data structures and algorithms. They also teach some HTML and CSS. For the first time, I used SQL there. That experience gave me the realization that I have a long way to go before I can call myself a software developer. Yes, after LaunchCode, that was the goal. I wanted to be a web-based software developer.

I’m a software engineer working on Firetable, an open-source React app that combines a spreadsheet UI with the full power of Firestore and Firebase. One of its key features is the side drawer, a form-like UI to edit a single row that slides over the main table.

The most logical place to put this state is within the side drawer component itself because when the user selects a different cell, it should only affect the side drawer. However: