F

feature engineering

Feature Engineering_Diabetes Prediction

Data Science Toolbox

Development of a monitoring system that can identify the quality of the printing on the product using the historical vibration data and the quality and production log data.

Machine Learning - Classification Problem

Machine Learning - Binary Classification

Using machine learning methodology to create a model that predicts which passengers survived the Titanic shipwreck under data science analysis flow from explore data analysis to model selection.

Using the fund data from the web scraping to established the model to predict the net asset value of the fund from the data clean, data pre-processing, model established and model selection.

Established the binary classification system to predict the client required if the bank product order; for bank marketing, this topic focus on the minority of the people who order the product.

Feature Extraction Transformers Set - Domain knowledge oriented feature extraction directly usable in your own pipelines