tranguyen42 Goto Github PK
Name: Tra T. Nguyen
Type: User
Tra T. Nguyen's Projects
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
bigquery-oreilly-book
Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media
coursera_capstone_clustering
Jupiter notebook for capstone project on Coursera
coursera_capstone_thebattleofneighborhoods
This is the capstone project for Data Science Specialization IBM on Coursera
cs50-harvard
Collections of problem sets in CS50 course solved by me
event-management-application
Applications for a music event
google-research
Google Research
hyperparameter-optimization-of-machine-learning-algorithms
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
master_thesis_growth_factors_in_emerging_markets
Having experienced high economic growth in 2000s, emerging markets, especially BRICs (Brazil, Russia, India, and China), become an appealing topic for researchers. The aim of this dissertation is to address causal factors and to quantify their effects on emerging markets’ growth by examining seventeen emerging markets over period of thirteen years (2000{2012). Panel data analysis with either random effects or fixed effects method are employed in our regressions. Our findings show that economic growth in emerging markets are positively affected by growth in trading partners and growth in terms of trade, but seems to be impeded by an improvement in financial openness. Noticeably China’s economy has important impacts on other emerging markets’ growth. Conversely, growth in trade openness and in international interest rate are found not to contribute significantly to growth in emerging markets. Our research also contains some open issues which might become interesting approaches for future analysis. Key words: emerging markets, BRICs, growth factors, panel data analysis, fixed effects, random effects.
matplotlib-tutorial
Matplotlib tutorial for beginner
scipy2014_tutorial
Tutorial: Bayesian Statistical Analysis in Python
tf_siren
Tensorflow 2.0 implementation of Sinusodial Representation networks (SIREN)
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
tranguyen42.github.io
Data Science Portfolio
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