This is a collection of machine learning topics. We have to learn more in order to let machines learn from us.
Okay, yes, once again, it is a catchy topic. BUT, this post is indeed trying to help people (including me) to gain an upper hand in real estate market, using data science. From our last post (2 months ago, I will try to update this blog more frequently :]] ), we learn that we can […]
To win big in real estate market using data science – Part 1 Read More »
We have learnt how to use machine learning to find an object’ status, like identifying an iris specie or a Titanic passenger’s condition. It is called classification in machine learning. If we want to use machine learning to predict a trend, like a stock price, then what should we do? We go for regression in
What are Regression model and RMSD? Read More »
We have learnt how to select a machine learning model, it is time to study another Data Science topic from the Data Science Life Cycle — Data Collection. Yes, we do need to know how to collect data. Unlike our Iris Classification project, which its data set is well prepared. Sometimes, we need to prepare our own
Titanic Survivors Dataset and Data Wrangling Read More »
We have tried our first ever Data Science project from last post. Do you feel excited? Yeah, we should! But we have also omitted several details on the Data Science Life Cycle. Do you remember why I picked Support Vector Machine as our machine learning model last time? I give you 3 seconds to answer.
How to choose a machine learning model in Python? Read More »
The Basic Data Science is a trending topic among recent years. And a Data Scientist is the #1 Best Job in America. But before going further on this topic, let’s go back to a basic question: What is Data Science?
Data Science: So you want to be a Data Scientist? Read More »
