henseljahja/titanic-prediction-with-pipeline

A Walkthrough of every single process needed for creating a machine learning model

learn-ml

A Walkthrough of every single process needed for creating a machine learning model from the basic, to advance

Sylabus

• [Modul 1 : Basic Python]
• [Modul 2 : Basic Numpy]
• Modul 3 : Basic Pandas
• Modul 4 : Data Pre-Processing & Pipeline
  • 4.1 Data Cleaning
  • 4.2 Feature Scaling
• [Modul 5 : Data Vizualisation]
• [Modul 6 : Supervised Learning : Classification]
• [Modul 7 : Supervised Learning : Regression]
• [Modul 8 : Unsupervised Learning]
• [Modul 9 : Dimensionality Reduction]
• [Modul 10 : Evaluation]
• [Modul 11 : Hyperparameter Tuning]

Exercise

• [Modul 1 : Basic Python]
• [Modul 2 : Basic Numpy]
• [Modul 3 : Basic Pandas]
• [Modul 4 : Data Pre-Processing & Pipeline]
• [Modul 5 : Data Vizualisation]
• [Modul 6 : Supervised Learning : Classification]
• [Modul 7 : Supervised Learning : Regression]
• [Modul 8 : Unsupervised Learning]
• [Modul 9 : Dimensionality Reduction]
• [Modul 10 : Evaluation]
• [Modul 11 : Hyperparameter Tuning]

Test Case

• [Titanic Datasets]