I would like to mention how I prepared and analyzed the Fifa 21 dataset in this week’s post. This post will be more practical than informative. Of course I will share some information, but I want this article to encourage more research. Because I think there is more to learn while doing research.
Before I start, I share the link that you could download dataset I worked on. I will be using Jupyter Notebook on this practice. You could download Jupyter Notebook from here.
Let’s begin:)
First Look
After downloading dataset in your computer, you could create a new file on your desktop. …
I had mentioned the two of collection data types, called set and tuple, at my previous post “Collection Data Types in Python: Part 1”. In this post, I will mention last two of collection data types, called list and dictionary with the same scenario in Part 1.
Let’s remember the scenario;
I will try to do suitable shopping list by using list and dictionary in following. Thus I will decide which data type is more suitable for my needs at the end of this post.
- Apple → 3 pieces
- Milk → 1 bottle
- Cheese → 250 gram
- Orange → 5…
Python has a lot of different datatypes. I will mention the first two “collection data types” as first part in this post, which will be continued next week with second part; set and tuple.
- Set
- Tuple
- List
- Dictionary
I will try to explain with a simple example to be catchy. I will be using Jupyter Notebook while doing this. The Jupyter Notebook is a powerful and interactive web tool known as also a free and open-source for coding.
Let’s begin. Here is the scenario:)
I should go to market for shopping. Because of this I want to create a shopping list to remember what I need by using 4 different python collection data types. …
I would like to share with you some of the basic Python methods usage. While doing this I will use the lyrics of the song that I really loved when I was a teenager; “Bye Bye Bye” from N’SYNC..:)
Here is the part of the lyrics of the song…
I am a data science enthusiast for a while. The worldwide Covid-19 outbreak allowed us to discover many new areas of interest. This made an opportunity to care about my long-term hobbies; programming and data science.
I would like to share with you what i have learned in this journey through this blog as a data science enthusiast. I aim to observe how i need to improve myself. And of course, i would like to contribute to new beginners and improve each other in data science.
Let me introduce my journey…
WHERE DID I START FROM?
First of all, I decided what i would like to do. I was wondering how Spotify, Netflix or Youtube recommended a content to me which I would interest. I would like to know backstage.. Machine Learning…
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