Fuzzy clustering with Python

July 10, 2020 0 Comments

Ready for implementing fuzzy clustering by using Python? (Source). For now, I prefer to have a look at the example with a random-data (the real data is usually messier, and it might not be very good for the self-learning curve! First, the libraries that we will need: skfuzzy, numpy, matplotlib, seaborn. Concerning “skfuzzy”, watch out […]

Probability clustering- fuzzy clustering

July 8, 2020 0 Comments

In the traditional clustering, any data either belongs to cluster X or Y (assuming that you have two clusters). In a way, you have a binary result for each data point (1: if it belongs to the cluster x, 0: if it does not belong to the cluster x). However, in many research scenarios, having […]

Clustering with K-means algorithm

July 7, 2020 0 Comments

Clustering is a machine learning method where the labels are not assigned to the data when it is learning the patterns. K-means algorithm is computed when you want to use a non-hierarchical method. For my thesis, I may need to perform a cluster analysis, so I started learning how to. I thought that sharing this […]

Bash 101

June 29, 2020 0 Comments

Hello there!! Knowing bash can make your life real easier, so why not trying it with me? I am a Mac user (do not feel ready for the Linux battles just yet!) so, everything I share here will work on Mac for sure, for other operating systems, it might need slight adjustments. First of all, […]

Wanna try the paired sample t-test and Wilcoxon signed-rank test?

November 9, 2019 0 Comments

Hi there! Today, I am going to walk you through a paired sample t-test with an interesting example! (with a surprise! turn to the Wilcoxon signed-rank test at the end:)) Research Story: Imagine that we have a face photo of someone (maybe you?:). Then, we manipulate this image and blur it. Now, we have both […]

Back to Data Analysis: Correlation

October 25, 2019 0 Comments

The last time I wrote about data analysis, I shared how to navigate through the data and how to do the basic descriptive analysis. Now, high time to start diving in, and do some analysis such as correlation! For that we will install SciPy, Pandas, and Matplotlib libraries. I will talk about three different correlation […]

Django Girls!

October 5, 2019 0 Comments

It has been a while since I wrote my last blog, and here I brought you news from a recent event, Django girls workshop! (For those who are wondering what Django is,  it is a Python web framework.)  Django girls is an excellent initiation for women who are interested in IT. They organize free workshops […]

Python Pizza Event!

August 27, 2019 0 Comments

A few days ago, I attended the Python Pizza event for the first time. It was in Berlin, a city very much reminding me of Ankara. And a small tip for people going to Berlin via train from Prague on Friday: reserve a seat. We had to stand up half of our journey! Anyways, after […]

Have you met Python Turtle?

July 18, 2019 0 Comments

Before the end of this week, I wanted to write about something purely fun. I recently found out about the turtle module. I wish that they used this module to teach Python back at the college. Turtle graphics, as I heard, is a way of teach programming to kids. To show how fun it can […]

Warming up for data analysis

July 15, 2019 0 Comments

Hello there, This week, we will warm ourselves up for data analysis!! I will be using the same data frame that I used in the previous blog post. Let us first see the descriptive statistics such as mean, standard deviation, min and max values. To do that: Sometimes, when we prepare our data for the […]