These are projects in my Coding and Big Data course. These projects are aims to do a dataset training model and decision tree model using a python programming language with several libraries such as pandas, matplotlib, and scikit-learn.
The first project/lab practice used gold_karat.csv is aimed to do a dataset training model. Training is a phase In Machine Learning that purposes for the machine learn the algorithm from data, we basically try to create a model to predict on the test data. So, we use the training data to fit the model and testing data to test it.
The second project/lab challenge used titanic.csv is aimed to do a dataset decision tree model to predict the Titanic passenger's survival based on certain parameters such as (Passenger's Class, Sex/Gender, Age, and Fare).
For more detail about these projects, you may download and read the report that I have already attached within this repository.
