Kody Powell
Kody Powell
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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
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

Komentáře

  • @assisfernandes753
    @assisfernandes753 Před 4 dny

    thank you for much

  • @gernotschaaf3693
    @gernotschaaf3693 Před měsícem

    Wish my lectures had any form of love for what they do. Thanks for the great lectures.

  • @sujithmswamy2419
    @sujithmswamy2419 Před měsícem

    Very grateful for this explanation Mr Powell. Couldn't get any more convincing than this. 🙏🏽🙏🏽

  • @parinya38888
    @parinya38888 Před měsícem

    That excellent thank you so much 😊

  • @soloplay1319
    @soloplay1319 Před měsícem

    hello, can I get access to the textbook that you are extracting these courses from please?

  • @xiaojietao9966
    @xiaojietao9966 Před měsícem

    Helpful and straightforward, thanks!

  • @johangoethe2472
    @johangoethe2472 Před měsícem

    Thank you very much. It was so , so useful !!!

  • @tonghuizhang56
    @tonghuizhang56 Před měsícem

    I got a question that how to calculate the free nusselt number when the plate is inclined? Anyone can help me?

  • @jahidem
    @jahidem Před 2 měsíci

    nice

  • @JamesVestal-dz5qm
    @JamesVestal-dz5qm Před 2 měsíci

    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!

  • @JamesVestal-dz5qm
    @JamesVestal-dz5qm Před 2 měsíci

    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.

  • @SAMSAM-kl6fv
    @SAMSAM-kl6fv Před 2 měsíci

    Thank you . If the pipe is porous , can we consider it as thin pipe ? what you do think about this case of porous pipe ?

  • @andreizelenco4164
    @andreizelenco4164 Před 2 měsíci

    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!

  • @neelamin9780
    @neelamin9780 Před 2 měsíci

    what is the numerical value for U when you plugged in everything to solve for Tho

  • @elhamtaghimehr4822
    @elhamtaghimehr4822 Před 3 měsíci

  • @Face_the_Reality
    @Face_the_Reality Před 3 měsíci

    Great explanation

  • @rcairplanesvictor9866
    @rcairplanesvictor9866 Před 4 měsíci

    Clear and concise! Numerical examples will help a lot the understanding.

  • @usman42101
    @usman42101 Před 4 měsíci

  • @TheunstoableAttack
    @TheunstoableAttack Před 4 měsíci

    first

  • @icmarsh
    @icmarsh Před 4 měsíci

    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!

  • @briandyer42
    @briandyer42 Před 4 měsíci

    You are a lifesaver, this video was more helpful than the actual lab instructions/instructor!

  • @matthewmueller8433
    @matthewmueller8433 Před 4 měsíci

    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

  • @ismashahi
    @ismashahi Před 4 měsíci

  • @kaviyageetha1043
    @kaviyageetha1043 Před 4 měsíci

    hi can you arrange the playlist videos in order??

  • @kaviyageetha1043
    @kaviyageetha1043 Před 4 měsíci

    can we do process modelling using this pycollimator?

    • @kodymerlin1
      @kodymerlin1 Před 4 měsíci

      Yes! czcams.com/video/DhFTOra3m-E/video.html

    • @kodymerlin1
      @kodymerlin1 Před 4 měsíci

      It's a lot like Simulink, but uses Python. It's great! czcams.com/video/awT4fK9B5_0/video.htmlsi=gLqN0Hpyt_v4ujcf

    • @kaviyageetha1043
      @kaviyageetha1043 Před 4 měsíci

      @@kodymerlin1 thanks !

  • @sly6080
    @sly6080 Před 5 měsíci

    Why is the surface temp. 288K? It wasn't explained so I'm a bit confused.

  • @ChosenWare
    @ChosenWare Před 5 měsíci

    Just saved me the trouble of looking for problems then a separate answer key. This review is great THANK YOU!

  • @Miao_zai
    @Miao_zai Před 6 měsíci

    very useful information, thanks for the content!

  • @Abhinavkumar-og3xd
    @Abhinavkumar-og3xd Před 6 měsíci

    Please speak in hindi.

  • @busedogan7590
    @busedogan7590 Před 6 měsíci

    popping up the one direction meme was unexpected and cute, thanks for clear explanation >33

  • @samerickson5367
    @samerickson5367 Před 6 měsíci

    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!

  • @vnagamohankrishnap1596
    @vnagamohankrishnap1596 Před 7 měsíci

    Interesting. Thanks for introducing this to a wider range of ordinances.

  • @khalidrashid85
    @khalidrashid85 Před 7 měsíci

    Nice Simulink for Python users!

  • @joserivas8858
    @joserivas8858 Před 7 měsíci

    why does convective resistance of boiling water equal 0 here? If I look it up, it has a value range

  • @yalcncesur4441
    @yalcncesur4441 Před 7 měsíci

    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

  • @dshshajskj6143
    @dshshajskj6143 Před 7 měsíci

    CAn you make one using fem?

  • @yassineguejdad9130
    @yassineguejdad9130 Před 7 měsíci

    I can't thank you enough sir you've explained this far better than my teacher

  • @alihosseiniroknabadi4828
    @alihosseiniroknabadi4828 Před 7 měsíci

    perfect lecture thank you from Iran

  • @user-db2fn4ri7f
    @user-db2fn4ri7f Před 7 měsíci

    Thanks for great lecture!!!

  • @jackdugoni2039
    @jackdugoni2039 Před 7 měsíci

    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.

  • @Robin-van-Weelie
    @Robin-van-Weelie Před 8 měsíci

    What is Z in this case?

  • @bountyhunter4985
    @bountyhunter4985 Před 8 měsíci

    simple explanation 💯

  • @bountyhunter4985
    @bountyhunter4985 Před 8 měsíci

    great explanation professor. thank you so much for your efforts!

  • @moviemusicvideochannel7102
    @moviemusicvideochannel7102 Před 8 měsíci

    You are a god, a heat transfer god.

  • @mirtismirtismirtis
    @mirtismirtismirtis Před 8 měsíci

    I owe you my life rn

  • @juancarlosbracamonteferrei5440

    Hello! Thanks for the video, where can I download the excel?

  • @KingslamTB
    @KingslamTB Před 8 měsíci

    Outter surface loses heat by convection to the surrounding. You didn’t add this part

  • @lincolnmeister9924
    @lincolnmeister9924 Před 9 měsíci

    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!

  • @ndukwehenryibiam
    @ndukwehenryibiam Před 9 měsíci

    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.

  • @cleverclover7
    @cleverclover7 Před 9 měsíci

    i like the way you teach