Discover tranctan/Feature-Scaling-on-Mobile-Price-Classification Open

Stars
2
Language
Jupyter Notebook
Created almost 5 years ago
Updated almost 5 years ago

tranctan

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

The scope of this works includes 2 distance-based models, which are KNN and SVM, and experiment how scaling features affects the performance of these 2 models. The work is conducted under the context of Mobile Price Classification dataset from Kaggle.

Speaker-Embeddings

Implementation of Generalized End-to-end Loss for Speaker Verification, which yields speaker embeddings as results.

Python

Kaggle-Data-Science-Bowl-2019

Kaggle Data Science Bowl 2019, key things that we learnt from one of the biggest data science competition

Jupyter Notebook

vietnamese-text-cleaning

Vietnamese Text Cleaning - A script of different cleaning steps for Vietnamese textual data. Conducted under the context of Zalo AI Challenge.

Jupyter Notebook

Gender-Classification-based-on-Twritter-textual-data

A comprehensive baseline model for Gender Classification based on Twitter Profile Data

Jupyter Notebook