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VIDEO COURSES
Below are video courses I have authored: Unpacking NumPy and Pandas (Volume I in the series, Taming Data with Python; Excelling as a Data Analyst) Data Acquisition and Manipulation with Python (Volume II) Training Your Systems with Python Statistical Modeling (Volume III) Applications of Statistical Learning with Python (Volume IV) Prospective Publishers If you are GETTING STARTED WITH BACKTRADER A few weeks ago, I ranted about the R backtesting package quantstrat and its related packages. Specifically, I disliked that I would not be able to do a particular type of walk-forward analysis with quantstrat, or at least was not able to figure out how to do so.In general, I disliked how usable quantstrat seemed to be. The package’s interface seems flexible in some areas, inflexible in INTRODUCING RANK DATA ANALYSIS WITH ARKHAM HORROR DATA Introduction. Last week I analyzed player rankings of the Arkham Horror LCG classes. This week I explain what I did in the data analysis. As I mentioned, this is the first time that I attempted inference with rank data, and I discovered how rich the subject is.A lot of the tools for the analysis I had to write myself, so you now have the code I didn’t have access to when I started. AN INTRODUCTION TO STOCK MARKET DATA ANALYSIS WITH R (PARTSEE MORE ON NTGUARDIAN.WORDPRESS.COM AN INTRODUCTION TO STOCK MARKET DATA ANALYSIS WITH R (PARTSEE MORE ON NTGUARDIAN.WORDPRESS.COM COMPARING THE CLASSES OF ARKHAM HORROR; WHY SURVIVORS NEEDSEE MORE ON NTGUARDIAN.WORDPRESS.COM PROBLEMS IN ESTIMATING GARCH PARAMETERS IN R Problems In Estimating GARCH Parameters in R. UPDATE (11/2/17 3:00 PM MDT): I got the following e-mail from Brian Peterson, a well-known R finance contributor, over R’s finance mailing list: I would strongly suggest looking at rugarch or rmgarch. The primary. maintainer of the RMetrics suite of packages, Diethelm Wuertz, was. ON PROGRAMMING LANGUAGES; WHY MY DAD WENT FROM … In Data Science from Scratch, a book introducing data science using Python, Joel Grus said the following about R (pg. 302):. Although you can totally get away with not learning R, a lot of data scientists and data science projects use it, so it’s worth getting familiar withit.
CURTIS MILLER'S PERSONAL WEBSITE Welcome to my website! Here you will find a portfolio that describes the work I have done professionally, during my college career while studying at Salt Lake Community College and the University of Utah, my personal blog, along with other work I have done outside the classroom that I feel is significant. BLOG | CURTIS MILLER'S PERSONAL WEBSITE | CURTIS MILLER'S Introduction. Now here is a blog post that has been sitting on the shelf far longer than it should have. Over a year ago I wrote an article about problems I was having when estimating the parameters of a GARCH(1,1) model in R. I documented the behavior of parameter estimates (with a focus on ) and perceived pathological behavior when those estimates are computed using fGarch.VIDEO COURSES
Below are video courses I have authored: Unpacking NumPy and Pandas (Volume I in the series, Taming Data with Python; Excelling as a Data Analyst) Data Acquisition and Manipulation with Python (Volume II) Training Your Systems with Python Statistical Modeling (Volume III) Applications of Statistical Learning with Python (Volume IV) Prospective Publishers If you are GETTING STARTED WITH BACKTRADER A few weeks ago, I ranted about the R backtesting package quantstrat and its related packages. Specifically, I disliked that I would not be able to do a particular type of walk-forward analysis with quantstrat, or at least was not able to figure out how to do so.In general, I disliked how usable quantstrat seemed to be. The package’s interface seems flexible in some areas, inflexible in INTRODUCING RANK DATA ANALYSIS WITH ARKHAM HORROR DATA Introduction. Last week I analyzed player rankings of the Arkham Horror LCG classes. This week I explain what I did in the data analysis. As I mentioned, this is the first time that I attempted inference with rank data, and I discovered how rich the subject is.A lot of the tools for the analysis I had to write myself, so you now have the code I didn’t have access to when I started. AN INTRODUCTION TO STOCK MARKET DATA ANALYSIS WITH R (PARTSEE MORE ON NTGUARDIAN.WORDPRESS.COM AN INTRODUCTION TO STOCK MARKET DATA ANALYSIS WITH R (PARTSEE MORE ON NTGUARDIAN.WORDPRESS.COM COMPARING THE CLASSES OF ARKHAM HORROR; WHY SURVIVORS NEEDSEE MORE ON NTGUARDIAN.WORDPRESS.COM PROBLEMS IN ESTIMATING GARCH PARAMETERS IN R Problems In Estimating GARCH Parameters in R. UPDATE (11/2/17 3:00 PM MDT): I got the following e-mail from Brian Peterson, a well-known R finance contributor, over R’s finance mailing list: I would strongly suggest looking at rugarch or rmgarch. The primary. maintainer of the RMetrics suite of packages, Diethelm Wuertz, was. ON PROGRAMMING LANGUAGES; WHY MY DAD WENT FROM … In Data Science from Scratch, a book introducing data science using Python, Joel Grus said the following about R (pg. 302):. Although you can totally get away with not learning R, a lot of data scientists and data science projects use it, so it’s worth getting familiar withit.
VIDEO COURSES
Below are video courses I have authored: Unpacking NumPy and Pandas (Volume I in the series, Taming Data with Python; Excelling as a Data Analyst) Data Acquisition and Manipulation with Python (Volume II) Training Your Systems with Python Statistical Modeling (Volume III) Applications of Statistical Learning with Python (Volume IV) Prospective Publishers If you are BOOKS - CURTIS MILLER'S PERSONAL WEBSITE Below are books I have authored: Hands-On Data Analysis with NumPy and Pandas Training Systems using Python Statistical Modeling Prospective Publishers If you are a prospective publisher, I would love to hear from you! Contact me at my e-mail address: cgmil@msn.com I presently do not have time to commit to any additional projects, but I BLOG | CURTIS MILLER'S PERSONAL WEBSITE | CURTIS MILLER'S Introduction. Now here is a blog post that has been sitting on the shelf far longer than it should have. Over a year ago I wrote an article about problems I was having when estimating the parameters of a GARCH(1,1) model in R. I documented the behavior of parameter estimates (with a focus on ) and perceived pathological behavior when those estimates are computed using fGarch. PYTHON - CURTIS MILLER'S PERSONAL WEBSITE A few months ago I wrote a blog post about getting stock data from either Quandl or Google using R, and provided a command line R script to automate the task. In this post I repeat the task but with Python. If you’re interested in the motivation and logic of the procedure, I DOWNLOADING S&P 500 STOCK DATA FROM GOOGLE/QUANDL WITH R I have created a video course that Packt Publishing will be publishing later this month, entitled Unpacking NumPy and Pandas, the first volume in a four-volume set of video courses entitled, Taming Data with Python; Excelling as a Data Analyst.This course covers the basics of setting up a Python environment for data analysis with Anaconda, using Jupyter notebooks, and using NumPy and R | CURTIS MILLER'S PERSONAL WEBSITE Introduction. Now here is a blog post that has been sitting on the shelf far longer than it should have. Over a year ago I wrote an article about problems I was having when estimating the parameters of a GARCH(1,1) model in R. I documented the behavior of parameter estimates (with a focus on ) and perceived pathological behavior when those estimates are computed using fGarch. GETTING S&P 500 STOCK DATA FROM QUANDL/GOOGLE WITH PYTHON A few months ago I wrote a blog post about getting stock data from either Quandl or Google using R, and provided a command line R script to automate the task. In this post I repeat the task but with Python. If you’re interested in the motivation and logic of the procedure, I R FUNCTION FOR SIMULATING GAUSSIAN PROCESSES This semester my studies all involve one key mathematical object: Gaussian processes.I’m taking a course on stochastic processes (which will talk about Wiener processes, a type of Gaussian process and arguably the most common) and mathematical finance, which involves stochastic differential equations (SDEs) used for derivative pricing, including in the Black-Scholes-Merton equation. WINNING THE BATTLE FOR RIDDLER NATION; AN AGENT-BASED Mesa is still in development and there are models that it currently does not support, but the model that I will be using isn’t too fancy. It also is intended to integrate well with the rest of the scientific Python universe; pandas DataFrames and NumPy are supposedly supported by the package. What Strategies to Use? Mr. Wittman was interested in how to generate strategies for a round-robin WHAT IS THE PROBABILITY THAT IN A BOX OF A DOZEN DONUTS Dave's Donuts offers 14 flavors of donuts (consider the supply of each flavor as being unlimited). The “grab bag” box consists of flavors randomly selected to be in the box, each flavor equally likely for each one of the dozen donuts. What is the probability CURTIS MILLER'S PERSONAL WEBSITE Welcome to my website! Here you will find a portfolio that describes the work I have done professionally, during my college career while studying at Salt Lake Community College and the University of Utah, my personal blog, along with other work I have done outside the classroom that I feel is significant. BOOKS - CURTIS MILLER'S PERSONAL WEBSITE Below are books I have authored: Hands-On Data Analysis with NumPy and Pandas Training Systems using Python Statistical Modeling Prospective Publishers If you are a prospective publisher, I would love to hear from you! Contact me at my e-mail address: cgmil@msn.com I presently do not have time to commit to any additional projects, but I AN INTRODUCTION TO STOCK MARKET DATA ANALYSIS WITH R (PARTSEE MORE ON NTGUARDIAN.WORDPRESS.COM STOCK DATA ANALYSIS WITH PYTHON (SECOND EDITION) Introduction. This is a lecture for MATH 4100/CS 5160: Introduction to Data Science, offered at the University of Utah, introducing time series data analysis applied to finance.This is also an update to my earlier blog posts on the same topic (this one combining them together). I strongly advise referring to this blog post instead of the previous ones (which I am not altering for the sake of AN INTRODUCTION TO STOCK MARKET DATA ANALYSIS WITH R (PARTSEE MORE ON NTGUARDIAN.WORDPRESS.COM TRAINING YOUR SYSTEMS WITH PYTHON STATISTICAL MODELING Training Your Systems with Python Statistical Modeling. This video course, published with Packt Publishing, is an introductory course for data analysis with Python. This course discusses how to use Python for machine learning. The course covers. Classical statistical methods (from both frequentist and Bayesian perspectives) DOWNLOADING S&P 500 STOCK DATA FROM GOOGLE/QUANDL WITH R I have created a video course that Packt Publishing will be publishing later this month, entitled Unpacking NumPy and Pandas, the first volume in a four-volume set of video courses entitled, Taming Data with Python; Excelling as a Data Analyst.This course covers the basics of setting up a Python environment for data analysis with Anaconda, using Jupyter notebooks, and using NumPy and ON PROGRAMMING LANGUAGES; WHY MY DAD WENT FROM … In Data Science from Scratch, a book introducing data science using Python, Joel Grus said the following about R (pg. 302):. Although you can totally get away with not learning R, a lot of data scientists and data science projects use it, so it’s worth getting familiar withit.
COMPARING THE CLASSES OF ARKHAM HORROR; WHY SURVIVORS NEEDSEE MORE ON NTGUARDIAN.WORDPRESS.COM PROBLEMS IN ESTIMATING GARCH PARAMETERS IN R Problems In Estimating GARCH Parameters in R. UPDATE (11/2/17 3:00 PM MDT): I got the following e-mail from Brian Peterson, a well-known R finance contributor, over R’s finance mailing list: I would strongly suggest looking at rugarch or rmgarch. The primary. maintainer of the RMetrics suite of packages, Diethelm Wuertz, was. CURTIS MILLER'S PERSONAL WEBSITE Welcome to my website! Here you will find a portfolio that describes the work I have done professionally, during my college career while studying at Salt Lake Community College and the University of Utah, my personal blog, along with other work I have done outside the classroom that I feel is significant. BOOKS - CURTIS MILLER'S PERSONAL WEBSITE Below are books I have authored: Hands-On Data Analysis with NumPy and Pandas Training Systems using Python Statistical Modeling Prospective Publishers If you are a prospective publisher, I would love to hear from you! Contact me at my e-mail address: cgmil@msn.com I presently do not have time to commit to any additional projects, but I AN INTRODUCTION TO STOCK MARKET DATA ANALYSIS WITH R (PARTSEE MORE ON NTGUARDIAN.WORDPRESS.COM STOCK DATA ANALYSIS WITH PYTHON (SECOND EDITION) Introduction. This is a lecture for MATH 4100/CS 5160: Introduction to Data Science, offered at the University of Utah, introducing time series data analysis applied to finance.This is also an update to my earlier blog posts on the same topic (this one combining them together). I strongly advise referring to this blog post instead of the previous ones (which I am not altering for the sake of AN INTRODUCTION TO STOCK MARKET DATA ANALYSIS WITH R (PARTSEE MORE ON NTGUARDIAN.WORDPRESS.COM TRAINING YOUR SYSTEMS WITH PYTHON STATISTICAL MODELING Training Your Systems with Python Statistical Modeling. This video course, published with Packt Publishing, is an introductory course for data analysis with Python. This course discusses how to use Python for machine learning. The course covers. Classical statistical methods (from both frequentist and Bayesian perspectives) DOWNLOADING S&P 500 STOCK DATA FROM GOOGLE/QUANDL WITH R I have created a video course that Packt Publishing will be publishing later this month, entitled Unpacking NumPy and Pandas, the first volume in a four-volume set of video courses entitled, Taming Data with Python; Excelling as a Data Analyst.This course covers the basics of setting up a Python environment for data analysis with Anaconda, using Jupyter notebooks, and using NumPy and ON PROGRAMMING LANGUAGES; WHY MY DAD WENT FROM … In Data Science from Scratch, a book introducing data science using Python, Joel Grus said the following about R (pg. 302):. Although you can totally get away with not learning R, a lot of data scientists and data science projects use it, so it’s worth getting familiar withit.
COMPARING THE CLASSES OF ARKHAM HORROR; WHY SURVIVORS NEEDSEE MORE ON NTGUARDIAN.WORDPRESS.COM PROBLEMS IN ESTIMATING GARCH PARAMETERS IN R Problems In Estimating GARCH Parameters in R. UPDATE (11/2/17 3:00 PM MDT): I got the following e-mail from Brian Peterson, a well-known R finance contributor, over R’s finance mailing list: I would strongly suggest looking at rugarch or rmgarch. The primary. maintainer of the RMetrics suite of packages, Diethelm Wuertz, was. BOOKS - CURTIS MILLER'S PERSONAL WEBSITE Below are books I have authored: Hands-On Data Analysis with NumPy and Pandas Training Systems using Python Statistical Modeling Prospective Publishers If you are a prospective publisher, I would love to hear from you! Contact me at my e-mail address: cgmil@msn.com I presently do not have time to commit to any additional projects, but IEDUCATIONAL HISTORY
Educational History. Here I detail my education. You will find descriptions of some of the courses I’ve taken, including sample work. Undergraduate Education. Graduate Education. Like this: Like. INTRODUCING RANK DATA ANALYSIS WITH ARKHAM HORROR DATA Introduction. Last week I analyzed player rankings of the Arkham Horror LCG classes. This week I explain what I did in the data analysis. As I mentioned, this is the first time that I attempted inference with rank data, and I discovered how rich the subject is.A lot of the tools for the analysis I had to write myself, so you now have the code I didn’t have access to when I started. GETTING STARTED WITH BACKTRADER A few weeks ago, I ranted about the R backtesting package quantstrat and its related packages. Specifically, I disliked that I would not be able to do a particular type of walk-forward analysis with quantstrat, or at least was not able to figure out how to do so.In general, I disliked how usable quantstrat seemed to be. The package’s interface seems flexible in some areas, inflexible in MOVING AVERAGE CROSSOVER STRATEGY In these posts, I discuss basics such as obtaining the data from Yahoo! Finance using pandas, visualizing stock data, moving averages, developing a moving-average crossover strategy, backtesting, and benchmarking. The final post will include practice problems. This post discusses moving average crossover strategies,backtesting, andbenchmarking.
GRADES AREN’T NORMAL Figure 1 presents a histogram of the data in grades.When I see that distribution, it appears to be a left-skewed distribution. Most students are in the 60-100 range, some scored more than 100, and some scored much less than 60. 3 The median grade is 83, the first quartile 71.5, and the third quartile 92. Overall, not a bad distribution thatemerged naturally.
ARKHAM HORROR LCG
(If you care, there may be spoilers in this post.) Introduction. I love Arkham Horror; The Card Game.I love it more than I really should; it’s ridiculously fun. It’s a cooperative card game where you build a deck representing a character in the Cthulhu mythos universe, and with that deck you play scenarios in a narrative campaign 1 where you grapple with the horrors of the mythos. PROBLEMS IN ESTIMATING GARCH PARAMETERS IN R Problems In Estimating GARCH Parameters in R. UPDATE (11/2/17 3:00 PM MDT): I got the following e-mail from Brian Peterson, a well-known R finance contributor, over R’s finance mailing list: I would strongly suggest looking at rugarch or rmgarch. The primary. maintainer of the RMetrics suite of packages, Diethelm Wuertz, was. R FUNCTION FOR SIMULATING GAUSSIAN PROCESSES This semester my studies all involve one key mathematical object: Gaussian processes.I’m taking a course on stochastic processes (which will talk about Wiener processes, a type of Gaussian process and arguably the most common) and mathematical finance, which involves stochastic differential equations (SDEs) used for derivative pricing, including in the Black-Scholes-Merton equation. REFLECTION ON MEMORY The first readings of the course, selections from Francis Yates’ The Art of Memory, and Mary Caruthers’ The Book of Memory, were interesting reads and an unexpected kick-off to the course. Now, my exposure to the Middle Ages is fairly small, consisting of what I recall from sophomore world history, a couple semesters studyingphilosophy
CURTIS MILLER'S PERSONAL WEBSITE Welcome to my website! Here you will find a portfolio that describes the work I have done professionally, during my college career while studying at Salt Lake Community College and the University of Utah, my personal blog, along with other work I have done outside the classroom that I feel is significant. BOOKS - CURTIS MILLER'S PERSONAL WEBSITE Below are books I have authored: Hands-On Data Analysis with NumPy and Pandas Training Systems using Python Statistical Modeling Prospective Publishers If you are a prospective publisher, I would love to hear from you! Contact me at my e-mail address: cgmil@msn.com I presently do not have time to commit to any additional projects, but IVIDEO COURSES
Below are video courses I have authored: Unpacking NumPy and Pandas (Volume I in the series, Taming Data with Python; Excelling as a Data Analyst) Data Acquisition and Manipulation with Python (Volume II) Training Your Systems with Python Statistical Modeling (Volume III) Applications of Statistical Learning with Python (Volume IV) Prospective Publishers If you are BLOG | CURTIS MILLER'S PERSONAL WEBSITE | CURTIS MILLER'S Introduction. Now here is a blog post that has been sitting on the shelf far longer than it should have. Over a year ago I wrote an article about problems I was having when estimating the parameters of a GARCH(1,1) model in R. I documented the behavior of parameter estimates (with a focus on ) and perceived pathological behavior when those estimates are computed using fGarch. GETTING STARTED WITH BACKTRADER A few weeks ago, I ranted about the R backtesting package quantstrat and its related packages. Specifically, I disliked that I would not be able to do a particular type of walk-forward analysis with quantstrat, or at least was not able to figure out how to do so.In general, I disliked how usable quantstrat seemed to be. The package’s interface seems flexible in some areas, inflexible in AN INTRODUCTION TO STOCK MARKET DATA ANALYSIS WITH R (PARTSEE MORE ON NTGUARDIAN.WORDPRESS.COM INTRODUCING RANK DATA ANALYSIS WITH ARKHAM HORROR DATA Introduction. Last week I analyzed player rankings of the Arkham Horror LCG classes. This week I explain what I did in the data analysis. As I mentioned, this is the first time that I attempted inference with rank data, and I discovered how rich the subject is.A lot of the tools for the analysis I had to write myself, so you now have the code I didn’t have access to when I started. AN INTRODUCTION TO STOCK MARKET DATA ANALYSIS WITH R (PARTSEE MORE ON NTGUARDIAN.WORDPRESS.COM COMPARING THE CLASSES OF ARKHAM HORROR; WHY SURVIVORS NEEDSEE MORE ON NTGUARDIAN.WORDPRESS.COM PROBLEMS IN ESTIMATING GARCH PARAMETERS IN R Problems In Estimating GARCH Parameters in R. UPDATE (11/2/17 3:00 PM MDT): I got the following e-mail from Brian Peterson, a well-known R finance contributor, over R’s finance mailing list: I would strongly suggest looking at rugarch or rmgarch. The primary. maintainer of the RMetrics suite of packages, Diethelm Wuertz, was. CURTIS MILLER'S PERSONAL WEBSITE Welcome to my website! Here you will find a portfolio that describes the work I have done professionally, during my college career while studying at Salt Lake Community College and the University of Utah, my personal blog, along with other work I have done outside the classroom that I feel is significant. BOOKS - CURTIS MILLER'S PERSONAL WEBSITE Below are books I have authored: Hands-On Data Analysis with NumPy and Pandas Training Systems using Python Statistical Modeling Prospective Publishers If you are a prospective publisher, I would love to hear from you! Contact me at my e-mail address: cgmil@msn.com I presently do not have time to commit to any additional projects, but IVIDEO COURSES
Below are video courses I have authored: Unpacking NumPy and Pandas (Volume I in the series, Taming Data with Python; Excelling as a Data Analyst) Data Acquisition and Manipulation with Python (Volume II) Training Your Systems with Python Statistical Modeling (Volume III) Applications of Statistical Learning with Python (Volume IV) Prospective Publishers If you are BLOG | CURTIS MILLER'S PERSONAL WEBSITE | CURTIS MILLER'S Introduction. Now here is a blog post that has been sitting on the shelf far longer than it should have. Over a year ago I wrote an article about problems I was having when estimating the parameters of a GARCH(1,1) model in R. I documented the behavior of parameter estimates (with a focus on ) and perceived pathological behavior when those estimates are computed using fGarch. GETTING STARTED WITH BACKTRADER A few weeks ago, I ranted about the R backtesting package quantstrat and its related packages. Specifically, I disliked that I would not be able to do a particular type of walk-forward analysis with quantstrat, or at least was not able to figure out how to do so.In general, I disliked how usable quantstrat seemed to be. The package’s interface seems flexible in some areas, inflexible in AN INTRODUCTION TO STOCK MARKET DATA ANALYSIS WITH R (PARTSEE MORE ON NTGUARDIAN.WORDPRESS.COM INTRODUCING RANK DATA ANALYSIS WITH ARKHAM HORROR DATA Introduction. Last week I analyzed player rankings of the Arkham Horror LCG classes. This week I explain what I did in the data analysis. As I mentioned, this is the first time that I attempted inference with rank data, and I discovered how rich the subject is.A lot of the tools for the analysis I had to write myself, so you now have the code I didn’t have access to when I started. AN INTRODUCTION TO STOCK MARKET DATA ANALYSIS WITH R (PARTSEE MORE ON NTGUARDIAN.WORDPRESS.COM COMPARING THE CLASSES OF ARKHAM HORROR; WHY SURVIVORS NEEDSEE MORE ON NTGUARDIAN.WORDPRESS.COM PROBLEMS IN ESTIMATING GARCH PARAMETERS IN R Problems In Estimating GARCH Parameters in R. UPDATE (11/2/17 3:00 PM MDT): I got the following e-mail from Brian Peterson, a well-known R finance contributor, over R’s finance mailing list: I would strongly suggest looking at rugarch or rmgarch. The primary. maintainer of the RMetrics suite of packages, Diethelm Wuertz, was. BLOG | CURTIS MILLER'S PERSONAL WEBSITE | CURTIS MILLER'S Introduction. Now here is a blog post that has been sitting on the shelf far longer than it should have. Over a year ago I wrote an article about problems I was having when estimating the parameters of a GARCH(1,1) model in R. I documented the behavior of parameter estimates (with a focus on ) and perceived pathological behavior when those estimates are computed using fGarch.VIDEO COURSES
Below are video courses I have authored: Unpacking NumPy and Pandas (Volume I in the series, Taming Data with Python; Excelling as a Data Analyst) Data Acquisition and Manipulation with Python (Volume II) Training Your Systems with Python Statistical Modeling (Volume III) Applications of Statistical Learning with Python (Volume IV) Prospective Publishers If you are BOOKS - CURTIS MILLER'S PERSONAL WEBSITE Below are books I have authored: Hands-On Data Analysis with NumPy and Pandas Training Systems using Python Statistical Modeling Prospective Publishers If you are a prospective publisher, I would love to hear from you! Contact me at my e-mail address: cgmil@msn.com I presently do not have time to commit to any additional projects, but I AN INTRODUCTION TO STOCK MARKET DATA ANALYSIS WITH R (PART This post is the first in a two-part series on stock data analysis using R, based on a lecture I gave on the subject for MATH 3900 (Data Science) at the University of Utah. In these posts, I will discuss basics such as obtaining the data from Yahoo! Finance using pandas, visualizing stock data, moving averages, developing a moving-averageGRADUATE EDUCATION
Graduate Studies MSTAT Studies I am pursuing a Master's in Statistics (MSTAT) at the University of Utah. Below are some of the classes I took, with links to pages providing more description and sample work Linear Models (MATH 6010) This course, taught by Prof. Lajos Horvath, discussed linear models and linear regression in statistics. R | CURTIS MILLER'S PERSONAL WEBSITE Introduction. Now here is a blog post that has been sitting on the shelf far longer than it should have. Over a year ago I wrote an article about problems I was having when estimating the parameters of a GARCH(1,1) model in R. I documented the behavior of parameter estimates (with a focus on ) and perceived pathological behavior when those estimates are computed using fGarch. TRAINING SYSTEMS USING PYTHON STATISTICAL MODELLING Training Systems using Python Statistical Modelling. This book, published with Packt Publishing, is an introduction statistical inference and machine learning using Python. Topics covered in the book include statistical inference, supervised and unsupervised learning for both classification and regression, clustering, and dimensionality reduction. MOVING AVERAGE CROSSOVER STRATEGY In these posts, I discuss basics such as obtaining the data from Yahoo! Finance using pandas, visualizing stock data, moving averages, developing a moving-average crossover strategy, backtesting, and benchmarking. The final post will include practice problems. This post discusses moving average crossover strategies,backtesting, andbenchmarking.
DOWNLOADING S&P 500 STOCK DATA FROM GOOGLE/QUANDL WITH R I have created a video course that Packt Publishing will be publishing later this month, entitled Unpacking NumPy and Pandas, the first volume in a four-volume set of video courses entitled, Taming Data with Python; Excelling as a Data Analyst.This course covers the basics of setting up a Python environment for data analysis with Anaconda, using Jupyter notebooks, and using NumPy and GETTING S&P 500 STOCK DATA FROM QUANDL/GOOGLE WITH PYTHON A few months ago I wrote a blog post about getting stock data from either Quandl or Google using R, and provided a command line R script to automate the task. In this post I repeat the task but with Python. If you’re interested in the motivation and logic of the procedure, I CURTIS MILLER'S PERSONAL WEBSITE CURTIS MILLER'S PERSONAL WEBSITE CURTIS MILLER'S PERSONAL WEBSITE, WITH RESUME, PORTFOLIO, BLOG, ETC.Skip to content
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Welcome to my website! Here you will find a portfolio that describes the work I have done professionally, during my college career while studying at Salt Lake Community College and the University of Utah, my personal blog, along with other work I have done outside the classroom that I feel is significant. Any material in this portfolio is considered my intellectual property. Should I discover that any material on this site is being used without my consent or without due credit being given to me, I WILL exercise my rights and pursue legal action to protect my intellectual property.THE QUICK LIST
The following is what I personally consider my best work: * Explaining Utah’s Gender Gap in Wages (Honor’s thesis; research paper) * Congressional Political Relationships (Website/visualization tool) * Money market fund reform(research paper)
* Identifying Gender of Authors; An application of Markov chains totextual analysis
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