YICHUN TSAI's repositories
10-steps-to-become-a-data-scientist
📢 Ready to learn or review your knowledge! You will learn 10 skills as data scientist: 📚 Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
AmazonSageMakerCourse
SageMaker Course Material
An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
AWS-SAA-C02-Course
Personal notes for SAA-C02 test from: https://learn.cantrill.io
datasciencecoursera
Repository for last project in Data Science Specialization by John Hopkins University
datasharing
The Leek group guide to data sharing
Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
iv-and-woe-python
This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).
machinelearning
Machine learning and artificial intelligence
mastering-pycharm-course
Course demos and handouts for Talk Python's Effective PyCharm course
ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
neural_prophet
NeuralProphet: A simple forecasting package
nlp-sentiment-analysis
This repository contains sentiment analysis of Amazon product reviews (NLP) with different machine learning and deep learning models.
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
PyTorch-webinar
Machine Learning with PyTorch tutorials (for Pearson)
RStudio-First-Project
this is a test to create a link between RStudio and GitHub
Temporary_add_to_version_controll
Linking a pre-existing R Project with GitHub
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.