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…       Advertisements

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 ...

dzenanhamzic.com blog

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 ...

Hotel Time Series Clustering Analysis - Dzenan Hamzic Blog

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

dzenanhamzic.com

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 ...

Visual Gallery

As the end of year 2016 is approaching, I decided to gather and summarize my visualizations on one page. Have a look. Visual Gallery Happy new year! Cheers! #visual #analytics #bigdata #BI #ML #datamining #mmds #plots  Post by @dzhamzic. Source: Visual Gallery

Twitter API Streaming in Python

Maybe the easiest way to connect to Twitter API and to stream tweets, is using Python and Tweepy. You can install Tweepy using pip: Tweepy is an open source library and you can check the source here. Maybe, take a peak at StreamListener class and see what additional options are available. ‘Nuff said. Here’s the ...

Google’s PageRank Algorithm in Python

Have you ever asked yourself how google ranks the pages when you search something on google.com? If yes, have a look at PageRank algorithm definition. I’ll not go into much details here, but to give you an idea, the World Wide Web can be seen as a large graph, consisting of pages as nodes and ...

A Star (A*) Algorithm with Caching – Java Implementation

Route calculation is computationally an expensive operation. There are several ways how to reduce computational load on the backend. I’ll show you how I optimized my computational resources. There are times where a bunch of people is heading to the same event using the same or at least similar paths. Following this logic, it is ...

A Star (A*) Algorithm Implementation in Java

A* algorithm can be seen as an heuristic extension of Dijkstra’s. Whereas in the Dijkstra’s priority-queue ordering is based only on the distance from the start node to the current, A* algorithm additionally calculates the distance from the current node to the goal-node. Thus the ordering in the priority queue is different and the algorithm ...

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