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Peijin Chen
Peijin Chen

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Published in

Towards Data Science

·Pinned

Human Activity Classification on the selfBACK Data Set

Using pycaret and keras to find good models — The SELFBACK dataset contains wearable data of 9 activity classes; 6 ambulatory activities and 3 sedentary activities, performed by 33 participants. Data are recorded with two tri-axial accelerometers sampling at 100Hz, mounted on the dominant side wrist and the thigh of the participant. Experimental Structure First, we create windows of data for…

Data Science

7 min read

Human Activity Classification on the selfBACK Data Set with pycaret and keras
Human Activity Classification on the selfBACK Data Set with pycaret and keras
Data Science

7 min read


Published in

Artificial Intelligence in Plain English

·Pinned

Machine Learning Mini-Project 3: Predicting 1-Hour ahead PM2.5 Levels in Beijing

This is the project that I wasted many months of my life on. I say “waste” half-jokingly —I wanted to write an academic paper, but I made some fundamental errors — or just didn’t think hard enough — about certain aspects of the matter. Anyway, here’s a mini report on…

Machine Learning

8 min read

Machine Learning Mini-Project 3: Predicting 1-Hour ahead PM2.5 Levels in Beijing
Machine Learning Mini-Project 3: Predicting 1-Hour ahead PM2.5 Levels in Beijing
Machine Learning

8 min read


Aug 3

Deep Learning For Time Series: Some Recent Resources

I haven’t written anything here in so long, it seemed too daunting to get back into something technical. Instead, I will state a problem and some resources to help you solve that problem. The problem: there are many methods for analyzing time series — and some use deep learning, and…

Time Series Analysis

3 min read

Deep Learning For Time Series: Some Resources
Deep Learning For Time Series: Some Resources
Time Series Analysis

3 min read


Jul 15, 2021

tsai — State of the Art Machine Learning for Time Series, Part 1.

There are more cool time series libraries for Python than you can shake a stick at. You might have heard of some of them: sktime tslearn tsfresh prophet pyts Each of these libraries has different methods for dealing with the various time series learning tasks — regression, classification and forecasting…

Time Series Analysis

4 min read

tsai — State of the Art Machine Learning for Time Series, Part 1.
tsai — State of the Art Machine Learning for Time Series, Part 1.
Time Series Analysis

4 min read


Feb 25, 2021

The Dating Problem, Revisited.

How many dates should you go on before you settle down? The classic “secretary” problem has many names and guises but it’s essentially a mathematical decision theory problem that goes like this: imagine you are interviewing a pool of candidates, and you want to find the best one, but you…

Optimization

4 min read

The Dating Problem, Revisited.
The Dating Problem, Revisited.
Optimization

4 min read


Feb 5, 2021

Machine Learning Mini-Project: Predicting Stock Closing Prices from Intraday Stock Prices on the NIFTY index.

ROCKET vs. Time Series Forest vs. Temporal Convolutional Networks vs. XGBoost — If you dabble in stock trading, as I do, you might wonder how you can tell how the stock is going to do by the time of the closing bell — is it going to close above where it started, or not? There are intraday patterns, surely — people always…

Finance

6 min read

Machine Learning Mini-Project: Predicting Stock Closing Prices from Intraday Stock Prices on the…
Machine Learning Mini-Project: Predicting Stock Closing Prices from Intraday Stock Prices on the…
Finance

6 min read


Jan 22, 2021

The Poisson Deviance for Regression

You’ve probably heard of the Poisson distribution, a probability distribution often used for modeling counts, that is, positive integer values. Imagine you’re modeling “events”, like the number of customers that walk into a store, or birds that land in a tree in a given hour. That’s what the Poisson is…

Regression Analysis

5 min read

The Poisson Deviance for Regression
The Poisson Deviance for Regression
Regression Analysis

5 min read


Published in

Towards Data Science

·Jan 5, 2021

Machine Learning Mini-Project 5

Forecasting Hourly Bike Rentals in Seoul with pycaret, keras, and Tensorflow Probability — Data: The Seoul Bike Sharing Data Set from UCI Machine Learning Repository. The target is Rented Bike Count. That means this is count data, which is positive integer values. The predictors/features are mostly weather-related, e.g. sunshine, rain, wind, visibility, as well as temporal features such as the hour of the…

Machine Learning

8 min read

Machine Learning Mini-Project
Machine Learning Mini-Project
Machine Learning

8 min read


Published in

Towards Data Science

·Nov 5, 2020

Finding Important Features using Genetic Algorithms

(for Heart Failure Survival Prediction) — The original paper is as follows: Chicco, D., Jurman, G. Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone. BMC Med Inform Decis Mak 20, 16 (2020). https://doi.org/10.1186/s12911-020-1023-5 This data set has 12 features and you can download it from the UCI…

Machine Learning

9 min read

Machine Learning Mini-Project 4: Finding Important Features using Genetic Algorithms (for Heart…
Machine Learning Mini-Project 4: Finding Important Features using Genetic Algorithms (for Heart…
Machine Learning

9 min read


Published in

Artificial Intelligence in Plain English

·Oct 14, 2020

I wasted over 6 months on a machine learning project because of this stupid error…

Well, it wasn’t a complete waste, you live and learn. But I spent a lot of time on the project and wanted to write it up as an academic paper — which means you have to consider what added value your paper is offering to the world, and I realized…

Machine Learning

6 min read

I wasted over 6 months on a machine learning project because of this stupid error…
I wasted over 6 months on a machine learning project because of this stupid error…
Machine Learning

6 min read

Peijin Chen

Peijin Chen

461 Followers

Machine Learning Engineer

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