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Tag: Python

Model evaluation, model selection, and algorithm selection in machine learning
In this second part of this series, we will look at some advanced techniques for model evaluation and techniques to estimate the uncertainty of our estimated model performance as well as its variance and stability. Then, in the next article, we will shift the focus onto another task that is …
Model evaluation, model selection, and algorithm selection in machine learning
In this second part of this series, we will look at some advanced techniques for model evaluation and techniques to estimate the uncertainty of our estimated model performance as well as its variance and stability. Then, in the next article, we will shift the focus onto another task that is …
Model evaluation, model selection, and algorithm selection in machine learning
In this second part of this series, we will look at some advanced techniques for model evaluation and techniques to estimate the uncertainty of our estimated model performance as well as its variance and stability. Then, in the next article, we will shift the focus onto another task that is …
Model evaluation, model selection, and algorithm selection in machine learning
Machine learning has become a central part of our life -- as consumers, customers, and hopefully as researchers and practitioners! Whether we are applying predictive modeling techniques to our research or business problems, I believe we have one thing in common : We want to make good predictions! Fitting a …
Model evaluation, model selection, and algorithm selection in machine learning
Machine learning has become a central part of our life -- as consumers, customers, and hopefully as researchers and practitioners! Whether we are applying predictive modeling techniques to our research or business problems, I believe we have one thing in common : We want to make good predictions! Fitting a …
Model evaluation, model selection, and algorithm selection in machine learning
Machine learning has become a central part of our life -- as consumers, customers, and hopefully as researchers and practitioners! Whether we are applying predictive modeling techniques to our research or business problems, I believe we have one thing in common : We want to make good predictions! Fitting a …
Top 8 resources for learning data analysis with pandas
I recently launched a video series about "pandas", a popular Python library for data analysis, manipulation, and visualization. But for those of you who want to learn pandas and prefer the written word, I've compiled my list of recommended resources: Intro to pandas data structures: This is the first post
Easier data analysis in Python with pandas (video series)
Learn how to use the pandas library for data analysis, manipulation, and visualization. Each video answers a student question using a real dataset!
Becoming a Data Scientist Podcast Episode 08: Sebastian Raschka
Renee interviews computational biologist, author, data scientist, and Michigan State PhD candidate Sebastian Raschka about how he became a data scientist, his current research, and about his book Python Machine Learning. In the audio interview, Sebastian also joins us to discuss k-fold cross-validation for our model evaluation Data Science Learning …
Guide to an in-depth understanding of logistic regression
When faced with a new classification problem, machine learning practitioners have a dizzying array of algorithms from which to choose: Naive Bayes, decision trees, Random Forests, Support Vector Machines, and many others. Where do you start? For many practitioners, the first algorithm they reach for is one of the oldest
Data Science Learning Club Update
For anyone that hasn’t yet joined the Becoming a Data Scientist Podcast Data Science Learning Club, I thought I’d write up a summary of what we’ve been doing....
Data Science Tutorials Flipboard Magazine
I have been getting great feedback on my “Becoming a Data Scientist” Flipboard magazine, and I had this other set of articles bookmarked that didn’t quite fit into it. I want the Becoming a Data Scientist one to be the “best of the best” of articles I find on Twitter …
Writing 'Python Machine Learning'
It's been about time. I am happy to announce that "Python Machine Learning" was finally released today! Sure, I could just send an email around to all the people who were interested in this book. On the other hand, I could put down those 140 characters on Twitter (minus what …
Writing 'Python Machine Learning'
It's been about time. I am happy to announce that "Python Machine Learning" was finally released today! Sure, I could just send an email around to all the people who were interested in this book. On the other hand, I could put down those 140 characters on Twitter (minus what …
Writing 'Python Machine Learning'
It's been about time. I am happy to announce that "Python Machine Learning" was finally released today! Sure, I could just send an email around to all the people who were interested in this book. On the other hand, I could put down those 140 characters on Twitter (minus what …
How to get better at data science
Recently, I finished teaching General Assembly's 11-week data science course for the fourth time. The goal of the course is to enable students to apply the entire data science workflow (using Python) to problems that interest them: forming a question, gathering and cleaning data, exploring and visualizing the data, building
Python, Machine Learning, and Language Wars
This has really been quite a journey for me lately. And regarding the frequently asked question “Why did you choose Python for Machine Learning?” I guess it is about time to write my script. In this article, I really don’t mean to tell you why you or anyone else should …
Python, Machine Learning, and Language Wars
This has really been quite a journey for me lately. And regarding the frequently asked question “Why did you choose Python for Machine Learning?” I guess it is about time to write my script. In this article, I really don’t mean to tell you why you or anyone else should …