As per Kaggle (The Home of Data Science) if you are new to machine learning it is recommendation to do these interactive Titanic Dataset tutorials:
- From R people - Provided by DataCamp this tutorial.
- For Python people – Provided by Dataquest this tutorial.
More info related to the Titanic Dataset see the this url.
I am doing the R tutorial and it is brilliant, easily to follow and fully interactive - You do not need R/R-Studio installed on your machine - you just need browser. I must admit, I used the R/R-Studio for an additional validation. However this is not needed, you could do that all via interactive console.
Kaggle R Tutorial on Machine Learning by The DataCamp Team - Overview
CHAPTER 1
Kaggle R Tutorial on Machine Learning by The DataCamp Team - Overview
CHAPTER 1
- Raising anchor550 XP
- How it works
- Set Sail
- Understanding your data
- Rose vs Jack, or Female vs Male
- Does age play a role?
- Making your first predictions
- From icebergs to trees
- Intro to decision trees
- Creating your first decision tree
- Interpreting your decision tree
- Predict and submit to Kaggle
- Overfitting, the iceberg of decision trees
- Re-engineering our Titanic data set
- Passenger Title and survival rate
CHAPTER 3
- Improving your predictions through Random Forests
- What is a Random Forest
- Press Enter To Start
- A Random Forest analysis in R
- Important variables
- Reset Course Progress
