Contents

ML/DS, CS basics & Others

Links: LinkedIn | GitHub | Kaggle

Outline
(0) CS Fundamentals
(1) ML/DS: Mini Projects
(2) ML/DS: Deep Learning & PyTorch
(3) ML/DS: Machine Learning
(4) ML/DS: Basics of Python & R
(5) Others
(6) Finance (Chinese)
(7) Psychology (Chinese)

(0) CS Fundamentals

OS Walkthrough 05 — Deadlock

OS Walkthrough 04— File Management & I/O

OS Walkthrough 03 — Memory Management

OS Walkthrough 02 — Synchronization

OS Walkthrough 01— Multi-threading & CPU Scheduling

(1) ML/DS: Mini Projects

ML25: Top 7 % in Give-Me-Some-Credit on Kaggle

ML24: Top 4% in Titanic on Kaggle

ML18: NLP — Surname Classification

(2) ML/DS: Deep Learning & PyTorch

ML17: Tuning Deep Networks

ML15: PyTorch — CNN on MNIST

ML14: PyTorch — MLP on MNIST

ML13: PyTorch — Simple Linear Regression

ML12: A Detailed PyTorch Tutorial

ML06: PyTorch on Google Colab

ML05: Neural Network on iris by Numpy

ML04: From ML to DL to NLP

ML03: PyTorch vs. Tensorflow

(3) ML/DS: Machine Learning

ML23: Handling Missing Values

ML22: Forecasting and Time Series Analysis with Python

ML21: Linear Regression with Python

ML20: Stepwise Linear Regression with R

ML19: The “Linear” in Linear Regression

ML16: Hands-on Text Preprocessing

ML11: Hands-On Line Chart with Python

ML07: What is “Robust” ?

(4) ML/DS: Basics of Python & R

ML10: Exclusive methods of R & Python

ML09: Measuring Running Time in Python & R

ML08: Efficiency Tips for R

(5) Others

PY01: [Anaconda 2020.07] Couldn’t open Jupyter, Spyder on Win10

ML02:初探遺失值(missing value)處理

ML01: 線性迴歸中的「線性」

(6) Finance (Chinese)

FIN02: 探討債務股本比、現金股利和回購、增減資

FIN01: Fed 的使命、目標、手段與決策

(7) Psychology (Chinese)

PSY03: 尋覓理想對象的心理學與經濟學

PSY02: 家暴後續恢復守則

PSY01: 四大長期親密關係訣竅