Pinned Repositories
digital-banking
Digital banking project
-BIA-Algo-rhythm
This is a natural language processing project involving lyrics to predict a singer’s gender. The model takes an input consisting of the lyrics of any size (in terms of number of words), and uses random forest with top 200 words based on tf-idf score, to predict gender of the singer.
Algorhythm_web_app
Simple Flask app to serve machine learning model on the web
cohort_analysis
This repo demonstrates how to connect to an online database instance using proxy, perform cohort analysis on Google Colab and export output google sheets.
django-blog
A blog website developed with Django for backend, HTML and CSS for frontend
ESD-G5T4
Enterprise Solution Development
maval
Django-based web application for stock trading simulation, visualization and portfolio optimization
sentiment_analysis_bert
Transfer learning with BERT to perform sentiment analysis
us_traffic_2015_patterns
Visualizing and modelling 2015 US traffic data with pandas, plotly, matplotlib, seaborn and pycaret.
maval
Team MAVAL in Ellipsis Hackathon 2020
nvTran's Repositories
nvTran/maval
Django-based web application for stock trading simulation, visualization and portfolio optimization
nvTran/sentiment_analysis_bert
Transfer learning with BERT to perform sentiment analysis
nvTran/-BIA-Algo-rhythm
This is a natural language processing project involving lyrics to predict a singer’s gender. The model takes an input consisting of the lyrics of any size (in terms of number of words), and uses random forest with top 200 words based on tf-idf score, to predict gender of the singer.
nvTran/Algorhythm_web_app
Simple Flask app to serve machine learning model on the web
nvTran/cohort_analysis
This repo demonstrates how to connect to an online database instance using proxy, perform cohort analysis on Google Colab and export output google sheets.
nvTran/django-blog
A blog website developed with Django for backend, HTML and CSS for frontend
nvTran/ESD-G5T4
Enterprise Solution Development
nvTran/us_traffic_2015_patterns
Visualizing and modelling 2015 US traffic data with pandas, plotly, matplotlib, seaborn and pycaret.