Audrey TangAn Intuitive Comparison of NLP Models (Neural Networks, RNN, CNN, LSTM)It can be difficult to grasp the differences of each model used in NLP, because they share similarities and new models were often…Jul 26, 2020Jul 26, 2020
Audrey TangMachine Learning w Sephora Dataset Part 6 — Fitting Model, Evaluation and TuningIn the last part of the series, we will look into fitting machine learning models to our pre-processed and engineered of dataset of…Jul 23, 2020Jul 23, 2020
Audrey TangMachine Learning w Sephora Dataset Part 5 — Feature SelectionIn feature selection, or dimensionality reduction, the goal is to alleviate the curse of dimensionality. When we feed many variables into…Jul 23, 2020Jul 23, 2020
Audrey TangMachine Learning w Sephora Dataset Part 4 — Feature EngineeringTo further prepare our data, we will conduct the following tasks:Jul 23, 2020Jul 23, 2020
Audrey TangMachine Learning w Sephora Dataset Part 3 — Data CleaningAfter gaining a basic understanding of the dataset content, we will begin modifying the dataset to ensure optimal result from the machine…Jul 23, 2020Jul 23, 2020
Audrey TangMachine Learning w Sephora Dataset Part 2 — Exploratory Data Analysishttps://unsplash.com/photos/ceWgSMd8rvQJul 23, 2020Jul 23, 2020
Audrey TangMachine Learning w Sephora Dataset Part 1 — Web ScrapingBasic Selenium TechniquesJul 23, 2020Jul 23, 2020
Audrey TangMachine Learning w Sephora Dataset Part 0 — Defining the ProblemWhen we think of data science, machine learning models may come to mind. However, it is actually a lengthy process consisting ofJul 23, 2020Jul 23, 2020