A Journey to Discover the Beauty of Math in Real Estates with the Visualization in Python — I. Definition If you took a down payment on your mortgage, most likely you are taking an Amortizing Loan. An amortization loan refers to an exact amount you pay monthly so that by the end of the loan term you paid off the debt and the interest. The monthly amortization consists of…

In this tutorial I will show you how to create the Variable Factor Map using matplotlib step by step — I. Introduction One of the most joyful activities in analytics is working with beautiful visualization. With the Variable Factor Map, you can explain Principal Component Analysis with ease. A picture worth a thousand words Principle Component Analysis (PCA), is a dimensionality-reduction method that is used to reduce the dimensionality of large data…

Solving the famous brain teaser by math, statistics, and Monte Carlo methods — The Monty Hall Problem is a famous probability puzzle in statistics. It is named after Monty, the host of the television game show “Let’s Makes a Deal”. The brain teaser loosely replicates the game show concept and it goes like this: There are 3 doors. You will have to choose…

Learning about Gini Impurity, Entropy, and how to construct a decision tree — When talking about the decision trees, I always imagine a list of questions I would ask my girlfriend when she does not know what she wants for dinner: Do you want to eat something with the noodle? How much do you want to spend? Asian or Western? …

Manipulating unstructured data with different techniques such as tokenization, lemmatization, stop words, TF-IDF. — Natural language processing is an interesting field because it is thought-provoking to disambiguate the input sentence to produce the machine representation language. Take a look at the famous Groucho Marx’s joke: One morning I shot an elephant in my pajamas. How he got into my pajamas I’ll never know.

Understanding the machine learning project life cycle and demystifying criteria for a successful project. — A data science team is the core of every big company. A successful data scientist needs to be the head for business strategy, can make discoveries and vision through data, and can convince stakeholders through communication and visualization. However, the amount of data nowadays increase exponentially and it makes data…

My journey from oil leakage to applying AI to predict equipment failures — I) Motivation In the job searching process, I found that many companies in my area looking for data scientists having knowledge of oil and gas. My background is mostly about mathematics, so I decided to go on an adventure along the oil pipeline. One thing that I noticed is oil and gas…

There is no machine learning algorithm that works best for all the problems — The Receiver Operating Characteristic (ROC) curve is a probability curve that illustrates how good our binary classification is in classifying classes based on true-positive and false-positive rates. The Area Under Curve (AUC) is a metric that ranges from 0 to 1. It is the area under the (ROC) curve. Motivation Why…

The most fascinating about generative deep learning, such as auto-encoder is that the machine can teach itself to be creative. The algorithm simply mimics the way humans learn and innovate. When first encounter a new concept, one needs to read, listen, memorize what important, and then practice. The more training…