Making profits during Coronavirus (COVID-19) outbreak
Coronavirus (COVID-19) outbreak brought the world economy and the stock market to their knees. Many people and most companies are fighting to survive these hard times. On the other hand, some are using this situation to make huge profits. In this experiment I demonstrated how to make over 80% gains, while the stock market is ...
Graph Data Structure – Python Implementation
Today, as data volumes are growing almost exponentially, search in artificial intelligence and computer science is regaining it’s popularity. There is basically no field without application of at least some of the search algorithms. Many of these search algorithms in computer science and artificial intelligence rely heavily on graphs and trees as underlying data structure ...
The Universe of Stocks – Quant Finance Visualization
I always asked myself how to visualize stock performance by sector properly. It is a fact that Visualization is underrated in the field of Quantitative Finance. So here is my contribution to the Visualization Techniques for Quantitative Finance.
Artificial Neuron learning in Python
It all starts with a single neuron! Or with a perceptron. Perceptron is a neuron’s computational model. If you link some of them together, you get to a real ‘artificial brain’ capable of learning complex stuff. When I try to explain basic AI concepts to non computer scientist, I usually start like this … You ...
The power of Visual Data Science.
When I do not deal with people, machines or numbers, I enjoy the pleasures of data visualizations. #VisualThinking #DataScience #Python
Some nice & new visualizations
I love plotting data and learning from the visualizations. Here are some new data plots of projects I was working on lately.
Vizuelna Analiza Trzista Nekretnina Bosne i Hercegovine
Gdje kupiti, iznajmiti ili prodati nekretnine u Bosni i Hercegovini. Ova vizuelna prezentacija ce vam pomoci oko nekih bitnih pitanja. Izvolite…
Boston Consulting Group Matrix Visualization
Recently, I had to make a Boston Consulting Group Matrix for a Strategic Management Class. I started off by doing everything in Python (Product-line growths etc.) and wanted to make a nice plot, but, plotting BCG Matrix in Python is a bit overhead and I switched to QlikView eventually, which I wanted to try out ...
My thoughts on Strategy, Strategic Management and it’s Importance
Kodak as a mighty camera/photography company in 20th century went bankrupt. This company was rated as one of the world’s most valuable brands until 1990s. Kodak’s management simply ignored innovations on the field of digital photography and smartphones, which at the the end, led them to have to “lock the doors for good”. Nokia was ...
Monty Hall Simulation with Python and Plotly
“Suppose you’re on a game show, and you’re given the choice of three doors: Behind one door is a car; behind the others, goats. You pick a door, say No. 1, and the host, who knows what’s behind the doors, opens another door, say No. 3, which has a goat. He then says to you, “Do you ...
3D Interactive Hotel Market Segmentation
There is a life beyond regression analysis! You can do so much more with pure time-series data! #datascience #plotly #timeseries
Web Mining on CSS classes
I was just working on some ‘side projects’ and made some nice visualizations of CSS classes as graph structures from Amazon, The New York Times and some other sites. Some interesting clusters can be spotted. Somehow, I have a feeling, I’m gonna dig deeper into this things of WebMining… Check out the plots below. Cheers! ...
Market Basket Analysis – Mining Frequent Pairs in Python
Have you ever asked yourself how the store managers decide on product shelf placement in retail stores? There must be some strategy behind it, right? It can’t be just a random choice. Almost on daily basis, you receive product purchase recommendations from variety of sources where you have left your “digital fingerprint”. In many cases these ...
Bloom Filter Example in Python
The title might also have been, “how to reduce 10 Gb of data to 1 single Megabyte”. BigData is only going to get bigger in the future. Our challenge, among others, is to find efficient methods and algorithms to (quickly) deal with wast amounts of data, extract meaningful information and to find ways how to ...
Recommender System in Python
The Amazon and Netflix are making almost 50% of their revenues by recommending appropriate products (books, movies) to their users. But how do they know what to recommend to their users? Well, they use the power of the collaboration between all other items and users. btw… If you would like to go deeper into the ...
Bits & Notes 