When we go for data science projects, like the Titanic Survivors and Iowa House Prices projects, we need data sets to process our predictions. In above cases, those data sets have already been collected and prepared. We only need to download the data set files then start our projects. But when we want to work for […]
Tutorial: How to do web scraping in Python? Read More »
Previously on CodeAStar: The data alchemist wannabe opened the first door to “the room for improvement”, where he made better prediction potions. His hunger for the ultimate potions became more and more. He then discovered another door inside the room. The label on the door said, “Ensemble Modeling”. This is our last chapter on the
To win big in real estate market using data science – Part 3: Ensemble Modeling Read More »
Previously on CodeAStar: A data alchemist wannabe tried to win big in real estate market, he then used Kaggle’s Housing Regression data set, engineered the features and fit them in a bunch of models. Dang! Nothing fancy happened. But he then discovered “the room”, the room for improvement — model params tuning.
To win big in real estate market using data science – Part 2: Model Params Tuning Read More »
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 »
Since I am going to have a 5-day trip to Sapporo, Hokkaido, Japan at the end of August, I would like to have a weather forecast for my trip. “So why don’t you check from a weather forecast site for free?” Yes, but I would like to get the exact information that I want to
Easy Weather Forecast Tool in Python 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 »
My anaconda don’t, My anaconda don’t, My anaconda don’t want none, unless you’ve got…. Yes, you are still reading Code A Star blog. In this post we are going to try our Data Science tutorial in Python. Since we are targeting Python beginners for this hands-on, I would like to introduce Anaconda to all of you.
Data Science Tutorial for Absolutely Python Beginners 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 »
