Git Basics

Git/Github is the most popular version control system. I also use it to manage my projects as well as to collaborate with others. In this post, I will summarize some basic/important git commands.

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Machine Learning (I)

Machine Learning is probably the most import application of Data Science. Based on how the learning happens, machine learning is categorized into two types: supervised learning and unsupervised learning.

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Statistics for Data Science (II)

Now I am going to summarize statistical inference and computation. The key will be how to use sample data and statistical methods to infer parameters of the entire population.

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Statistics for Data Science (I)

Data science has basically two pillars: computer science and statistics. While computer science provides a computing platform for data science, statistics provides all the theories and models for the analysis work in every data science project.

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R Highlights

Generally, R is not as popular as Python. But in statistic computing world, R is the most commonly used programming language.

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Python Highlights

Python is undoubtedly one of the most popular computer programming languages in today’s world. I learned about it before and during my MDS program. This post is to summarize some fundamentals of Python programming.

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Investment Plan with Data Science

I recently became quite interested in investment, particularly stock trading. As we all know, the US stock market has been soaring in the past nine years. Consequently, many people are lured to investing in the stock market. A question comes into my mind is whether now is a good time to buy US stocks.

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Version Control with GitHub

Most of us might have run into this kind of situation before: We worked on a file for quite a long time, then one day we thought the changes we recently made to the file was meaningless, so we wanted to go back to where we were one week ago. However, we might don’t have a copy of the file created one week ago, or we have saved many copies, but we could not find the copy we wanted or could not figure out which copy was the one we really wanted.

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