- 166
- 1 758 754
Kody Powell
Registrace 10. 08. 2011
Machine Learning in Python: Plotting the Training History from an ANN Model
In this module, we cover more advanced machine learning using artificial neural networks (ANNs), specifically the multi-layer perceptron. We show how to pre-process the data including scaling. How to train ANNs and plot the history. Throughout this module, we use tools from the Keras package in Python. We also show how to analyze data using Seaborn pairplots, do correlation analysis using Seaborn with a correlation heat map.
To download the Module9Data.csv dataset used throughout this module, click here: kodypowell.che.utah.edu/wp-content/uploads/sites/3/2024/04/Module9Data.csv
For the prior lecture video in this series, click here: czcams.com/video/okZgvcW4dVM/video.html
For the next lecture video in this series, click here: czcams.com/video/U_3dP7g_HVM/video.html
For a playlist of all lectures for the Smart Systems course, click here: czcams.com/play/PLliuty-DnCefs098rXyVkBDAqP-oRElgw.html
To download the Module9Data.csv dataset used throughout this module, click here: kodypowell.che.utah.edu/wp-content/uploads/sites/3/2024/04/Module9Data.csv
For the prior lecture video in this series, click here: czcams.com/video/okZgvcW4dVM/video.html
For the next lecture video in this series, click here: czcams.com/video/U_3dP7g_HVM/video.html
For a playlist of all lectures for the Smart Systems course, click here: czcams.com/play/PLliuty-DnCefs098rXyVkBDAqP-oRElgw.html
zhlédnutí: 179
Video
Machine Learning in Python: Making Predictions with an ANN Model
zhlédnutí 275Před 2 měsíci
In this module, we cover more advanced machine learning using artificial neural networks (ANNs), specifically the multi-layer perceptron. We show how to pre-process the data including scaling. How to train ANNs and plot the history. Throughout this module, we use tools from the Keras package in Python. We also show how to analyze data using Seaborn pairplots, do correlation analysis using Seabo...
Machine Learning in Python: Evaluating a Multi-Layer Perceptron Model
zhlédnutí 110Před 2 měsíci
In this module, we cover more advanced machine learning using artificial neural networks (ANNs), specifically the multi-layer perceptron. We show how to pre-process the data including scaling. How to train ANNs and plot the history. Throughout this module, we use tools from the Keras package in Python. We also show how to analyze data using Seaborn pairplots, do correlation analysis using Seabo...
Machine Learning in Python: Training a Multi-Layer Perceptron
zhlédnutí 183Před 2 měsíci
In this module, we cover more advanced machine learning using artificial neural networks (ANNs), specifically the multi-layer perceptron. We show how to pre-process the data including scaling. How to train ANNs and plot the history. Throughout this module, we use tools from the Keras package in Python. We also show how to analyze data using Seaborn pairplots, do correlation analysis using Seabo...
Machine Learning in Python: Training Artificial Neural Networks
zhlédnutí 175Před 2 měsíci
In this module, we cover more advanced machine learning using artificial neural networks (ANNs), specifically the multi-layer perceptron. We show how to pre-process the data including scaling. How to train ANNs and plot the history. Throughout this module, we use tools from the Keras package in Python. We also show how to analyze data using Seaborn pairplots, do correlation analysis using Seabo...
Machine Learning in Python: Introduction to Artificial Neural Networks
zhlédnutí 135Před 2 měsíci
In this module, we cover more advanced machine learning using artificial neural networks (ANNs), specifically the multi-layer perceptron. We show how to pre-process the data including scaling. How to train ANNs and plot the history. Throughout this module, we use tools from the Keras package in Python. We also show how to analyze data using Seaborn pairplots, do correlation analysis using Seabo...
Machine Learning in Python: Correlation Coefficients and the Seaborn Heat Map
zhlédnutí 176Před 2 měsíci
In this module, we cover more advanced machine learning using artificial neural networks (ANNs), specifically the multi-layer perceptron. We show how to pre-process the data including scaling. How to train ANNs and plot the history. Throughout this module, we use tools from the Keras package in Python. We also show how to analyze data using Seaborn pairplots, do correlation analysis using Seabo...
Machine Learning in Python: Data Analysis with the Seaborn Pairplot Tool
zhlédnutí 200Před 2 měsíci
In this module, we cover more advanced machine learning using artificial neural networks (ANNs), specifically the multi-layer perceptron. We show how to pre-process the data including scaling. How to train ANNs and plot the history. Throughout this module, we use tools from the Keras package in Python. We also show how to analyze data using Seaborn pairplots, do correlation analysis using Seabo...
Optimization with Python and SciPy: Convexity and Global vs. Local Optima
zhlédnutí 137Před 3 měsíci
In this module, we continue teaching about optimization including nonlinear programming, equality constraints, degrees of freedom, convexity, global vs. local optima, etc. For the previous video lecture in this series click here: czcams.com/video/r_x-7X7B_aM/video.html For the next video lecture in this series click here: czcams.com/video/OZHoWeoZdQw/video.html For a playlist of all video lectu...
Optimization with Python and SciPy: Equality Constraints
zhlédnutí 139Před 3 měsíci
In this module, we continue teaching about optimization including nonlinear programming, equality constraints, degrees of freedom, convexity, global vs. local optima, etc. For the previous video lecture in this series click here: czcams.com/video/KeVb5IOzE50/video.html For the next video lecture in this series click here: czcams.com/video/Q-n0TbxcyaI/video.html For a playlist of all video lectu...
Optimization with Python and SciPy: Nonlinear Programming (NLP) and Degrees of Freedom (DOFs)
zhlédnutí 170Před 3 měsíci
In this module, we continue teaching about optimization including nonlinear programming, equality constraints, degrees of freedom, convexity, global vs. local optima, etc. For the previous video lecture in this series click here: czcams.com/video/X0LvnxSqfNk/video.html For the next video lecture in this series click here: czcams.com/video/r_x-7X7B_aM/video.html For a playlist of all video lectu...
Optimization with Python and SciPy: Updating a Model for Real-Time Optimization (RTO)
zhlédnutí 182Před 3 měsíci
In this module, we introduce the concept of optimization, show how to solve mathematical optimization problems in Python and SciPy, introduce unconstrained optimization, constrained optimization, and real-time optimization including topics such as model parameterization and real-time optimization (RTO). For the previous video lecture in this series click here: czcams.com/video/WYT2GQrQpBw/video...
Optimization with Python and SciPy: Real-Time Optimization (RTO)
zhlédnutí 590Před 3 měsíci
In this module, we introduce the concept of optimization, show how to solve mathematical optimization problems in Python and SciPy, introduce unconstrained optimization, constrained optimization, and real-time optimization including topics such as model parameterization and real-time optimization (RTO). For the previous video lecture in this series click here: czcams.com/video/h31cyV1y2nE/video...
Optimization with Python and SciPy: Multiple Constraints
zhlédnutí 234Před 3 měsíci
In this module, we introduce the concept of optimization, show how to solve mathematical optimization problems in Python and SciPy, introduce unconstrained optimization, constrained optimization, and real-time optimization including topics such as model parameterization and real-time optimization (RTO). For the previous video lecture in this series click here: czcams.com/video/_aNYFXwzFno/video...
Optimization with Python and SciPy: Constrained Optimization
zhlédnutí 328Před 3 měsíci
In this module, we introduce the concept of optimization, show how to solve mathematical optimization problems in Python and SciPy, introduce unconstrained optimization, constrained optimization, and real-time optimization including topics such as model parameterization and real-time optimization (RTO). For the previous video lecture in this series click here: czcams.com/video/WYwlyCS8nF8/video...
Optimization with Python and SciPy: Unconstrained Optimization
zhlédnutí 287Před 3 měsíci
Optimization with Python and SciPy: Unconstrained Optimization
Optimization with Python and SciPy: Introduction
zhlédnutí 423Před 3 měsíci
Optimization with Python and SciPy: Introduction
Machine Learning with Python and SKLearn: Feature Importance and Scaling
zhlédnutí 195Před 3 měsíci
Machine Learning with Python and SKLearn: Feature Importance and Scaling
Machine Learning with Python and SKLearn: Elastic Net Regression
zhlédnutí 146Před 3 měsíci
Machine Learning with Python and SKLearn: Elastic Net Regression
Machine Learning with Python and SKLearn: Ridge Regression
zhlédnutí 168Před 3 měsíci
Machine Learning with Python and SKLearn: Ridge Regression
Machine Learning with Python and SKLearn: The LASSO Algorithm for Regularization
zhlédnutí 179Před 3 měsíci
Machine Learning with Python and SKLearn: The LASSO Algorithm for Regularization
Machine Learning with Python and SKLearn: Fitting a Nonlinear Model
zhlédnutí 303Před 3 měsíci
Machine Learning with Python and SKLearn: Fitting a Nonlinear Model
Machine Learning with Python and SKLearn: Fitting a Linear Multivariate Model
zhlédnutí 209Před 3 měsíci
Machine Learning with Python and SKLearn: Fitting a Linear Multivariate Model
Machine Learning with Python and SKLearn: Introduction
zhlédnutí 162Před 4 měsíci
Machine Learning with Python and SKLearn: Introduction
Data Visualization in Power BI: Tutorial Part 4
zhlédnutí 125Před 4 měsíci
Data Visualization in Power BI: Tutorial Part 4
Data Visualization in Power BI: Tutorial Part 3
zhlédnutí 104Před 4 měsíci
Data Visualization in Power BI: Tutorial Part 3
Data Visualization in Power BI: Tutorial Part 2
zhlédnutí 92Před 4 měsíci
Data Visualization in Power BI: Tutorial Part 2
Data Visualization in Power BI: Tutorial Part 1
zhlédnutí 153Před 4 měsíci
Data Visualization in Power BI: Tutorial Part 1
Retrieving and Plotting Results from the Collimator API in Python
zhlédnutí 111Před 4 měsíci
Retrieving and Plotting Results from the Collimator API in Python
An Application Programming Interface (API) for Python and Collimator
zhlédnutí 151Před 4 měsíci
An Application Programming Interface (API) for Python and Collimator
thank you for much
Wish my lectures had any form of love for what they do. Thanks for the great lectures.
Very grateful for this explanation Mr Powell. Couldn't get any more convincing than this. 🙏🏽🙏🏽
That excellent thank you so much 😊
hello, can I get access to the textbook that you are extracting these courses from please?
Helpful and straightforward, thanks!
Thank you very much. It was so , so useful !!!
I got a question that how to calculate the free nusselt number when the plate is inclined? Anyone can help me?
nice
I have more coding experience in Matlab than python. Fouriers law says q=-kAdT/dx. Donald trump set a boundary condition on the southern border! Zero flux boundary condition! Sophisticated code like paul smiths laboratory!
The heat transfer equation is from advanced transport phenomena 2, and were coding in python in reaction engineering. Brandon Tatum messaged me what does chemical engineering have to do with my presidential campaign and honestly i dont know. Brandon, my goal is to get healthy as a chemical engineer. Im learning about chemical engineering while waiting for my presidency to happen.
Thank you . If the pipe is porous , can we consider it as thin pipe ? what you do think about this case of porous pipe ?
Thank you so much for the amazing tutorials. I am designer at Nike and work in innovation. Collimator is a fantastic tool for anyone working in a node based environment. I hope you will add more tutorials if possible. Thank you so much for sharing your knowledge!
what is the numerical value for U when you plugged in everything to solve for Tho
❤
Great explanation
Clear and concise! Numerical examples will help a lot the understanding.
first
Is the numerator of ln term the initial of final temperature difference? The book I am using shows the numerator as the final temperature difference. Either way, thank you for this video!
You are a lifesaver, this video was more helpful than the actual lab instructions/instructor!
I might be wrong but I think you forget to multiply cross sectional area in the conduction term at minute 10:41. Still very helpful thanks
❤
hi can you arrange the playlist videos in order??
can we do process modelling using this pycollimator?
Yes! czcams.com/video/DhFTOra3m-E/video.html
It's a lot like Simulink, but uses Python. It's great! czcams.com/video/awT4fK9B5_0/video.htmlsi=gLqN0Hpyt_v4ujcf
@@kodymerlin1 thanks !
Why is the surface temp. 288K? It wasn't explained so I'm a bit confused.
Just saved me the trouble of looking for problems then a separate answer key. This review is great THANK YOU!
very useful information, thanks for the content!
Please speak in hindi.
popping up the one direction meme was unexpected and cute, thanks for clear explanation >33
Did you ever post the lecture videos for chapters 12 and 13 on radiation? Thank you for posting these videos! I have learned so much from them!
Interesting. Thanks for introducing this to a wider range of ordinances.
Nice Simulink for Python users!
why does convective resistance of boiling water equal 0 here? If I look it up, it has a value range
Dear Sir, thanks for this valuable method for calculate heat transfer...im preparing my thesis and want to use this method and would you like to share this method's source with me, i will he gratefull... İmmediatly waiting your response dear teacher.. thanks for alot and have a nice day
CAn you make one using fem?
I can't thank you enough sir you've explained this far better than my teacher
perfect lecture thank you from Iran
Thanks for great lecture!!!
You are a hero, sir. Thank you for these videos. I learned enough of heat transfer in the last 24 hours to pass the exam I take in 90 minutes, despite knowing almost nothing before. I am forever indebted to you and your excellent instruction style.
What is Z in this case?
The third dimension, which is not used
simple explanation 💯
great explanation professor. thank you so much for your efforts!
You are a god, a heat transfer god.
I owe you my life rn
Hello! Thanks for the video, where can I download the excel?
Outter surface loses heat by convection to the surrounding. You didn’t add this part
Thanks for all the lectures! I come from a physics background and am entering a ME masters program so this has very much helped me get up to speed for the classes I am in!
woow. I had to go through your playlist cos your tutorials were well-detailed and insightful. These clips are rare and I am glad I found them.
i like the way you teach