- Видео 47
- Просмотров 72 914
My Knowlege space
Добавлен 26 фев 2022
Welcome to your digital library for machine learning and deep learning in water resources! Curated by a PhD candidate specializing in multi-hazard research, this channel offers insights into algorithms and models for applications like discharge prediction, rainfall-runoff models, and more. Whether you're interested in advanced techniques or practical applications in environmental science, you'll find resources here to support your journey.
Gradient Descent algorithm in Python
This video describes the details of the gradient descent algorithm and includes code for modeling using it.
What You’ll Learn:
1. The fundamentals of gradient descent algorithm
2. How to prepare and preprocess your dataset for analysis
3. Step-by-step coding using popular libraries like NumPy, Pandas, and Scikit-learn
4. Tips for visualizing your data and results
5. How to evaluate the performance of your model.
Previous videos:
1. Linear Regression Model in Python: A Step-by-Step Guide
ruclips.net/video/VvSE-lerS_c/видео.html
2. How to calculate RMSE, Correlation, and other metrics in Python | Code
ruclips.net/video/NujMKDwYHks/видео.html
3. How to develop a Multiple Regression Model in Matlab
ruclip...
What You’ll Learn:
1. The fundamentals of gradient descent algorithm
2. How to prepare and preprocess your dataset for analysis
3. Step-by-step coding using popular libraries like NumPy, Pandas, and Scikit-learn
4. Tips for visualizing your data and results
5. How to evaluate the performance of your model.
Previous videos:
1. Linear Regression Model in Python: A Step-by-Step Guide
ruclips.net/video/VvSE-lerS_c/видео.html
2. How to calculate RMSE, Correlation, and other metrics in Python | Code
ruclips.net/video/NujMKDwYHks/видео.html
3. How to develop a Multiple Regression Model in Matlab
ruclip...
Просмотров: 70
Видео
Linear Regression Model in Python: A Step-by-Step Guide
Просмотров 224Месяц назад
Welcome to this comprehensive tutorial on building a linear regression model using Python! In this video, we’ll take you through the entire process, from data preprocessing to model evaluation, ensuring you have a solid understanding of linear regression and its practical applications. What You’ll Learn: 1. The fundamentals of linear regression and when to use it 2. How to prepare and preproces...
How to calculate RMSE, Correlation and other metrics in python | Code
Просмотров 863 месяца назад
Hello everyone In this video i will talk briefly about the code which i have used in my previous videos of neural network models to get the parameteric metrics in matlab. In the current video, i have adapted the matlab code to python to be used for getting performance metrics easily. You can use the code from the below link: github.com/Myknowledgespace/analysismetrics.git previous videos: 1. Fl...
How to code Flow direction | concept and code
Просмотров 1023 месяца назад
In this video a detailed description of flow direction concept and code almost line by line are discussed to understand the concept of the code and write your own for your convinience. In general you can do this flow direction calculation in Qgis or other softwares but when we are developing our own models or tools we need to be able to have our own code to complete our tool. So feel free to us...
How to plot data on primary and inverted secondary axis using python
Просмотров 1466 месяцев назад
In this video a detailed description of how we can plot a bar plot of data in primary and secondary axis using python. Previous videos: 1. Clip raster in Python ruclips.net/video/82YzOMTzvXQ/видео.html 2. How to download DEM data | SRTM 90m data ruclips.net/video/KA-1cvTZ6wU/видео.html 3. How to plot Shapefile in Python | Part-03 ruclips.net/video/3LBfCD7iPRs/видео.html 4. How to plot Shapefile...
How to Clip rasters in Python
Просмотров 337Год назад
In this video a detailed description of the how we can clip raster in python is discussed. Two codes have been discussed and also why there are differences in the results of these two methods are discussed. 0:00 Introduction 0:28 Clip in Qgis 1:15 Why to do in Python? 2:19 Clipping methods 3:05 Method 1 7:05 Method 2 09:46 Differences in results Previous codes: 1. World Basin Shapefiles: A Down...
World Basin Shapefiles: A Download Guide
Просмотров 182Год назад
In this video, a small talk about how you can dowload most of the subbasin in the world is shown. the website mentioned in the video is : riverbasins.wateractionhub.org/ If you like content regarding download data or developing various machine learning models in the domain of water resources, you can watch the below videos: 1. Extreme learning machine concept ruclips.net/video/J33wLfQtfuo/видео...
How to download DEM data | SRTM 90m data
Просмотров 1,2 тыс.Год назад
In this video a small and easy explanation about how we can download SRTM 90m data for any loaction around the world is shown. The link to download the DEM data is: srtm.csi.cgiar.org/srtmdata/ If you like content regarding download data or developing various machine learning models in the domain of water resources, you can watch the below videos: 1. Extreme learning machine concept ruclips.net...
Raster Magic: How to Plot Raster Files in Python Like a Pro!
Просмотров 804Год назад
In this video, a detailed explanation of how we can write a code for plotting a raster in python is explained in detail. the code used in this video is shown below: import geopandas as gpd import matplotlib.pyplot as plt from matplotlib.colors import from_levels_and_colors import contextily as ctx from mpl_toolkits.axes_grid1 import make_axes_locatable import rasterio.plot from matplotlib_scale...
How to plot Shapefile in Python | Part-03
Просмотров 302Год назад
In this video a detailed explain about how a shapefile can be plotted in python is discussed. The main focus of the video is to be able to plot the shapefile with data like area of each portion of the shapefile and plot it with different colors for better understanding. Along with that it is also discussed how a base map can be added to the background of the plotted shapefile along with the det...
How to plot Shapefile in Python | Part-02
Просмотров 484Год назад
In this video a detailed explain about how a shapefile can be plotted in python is discussed. Along with that it is also discussed how a base map can be added to the background of the plotted shapefile along with the details like north arrow, scalebar, legend and also make the shapefile transparent. Code used: import geopandas as gpd import matplotlib.pyplot as plt import matplotlib.ticker as t...
How to plot Shapefile in Python | Part-01
Просмотров 483Год назад
This video is is the first in the series of videos which we will be producing with python for understanding and applying various models and codes in the domain of water resources. Plotting shapefile in python is carried out in 3 parts and this video is the part 1/3 of the series In this video , a short and simple code which can be used for plotting in python is explained. Code used import geopa...
Que es red neuronal artificial| ANN in 7 minutes
Просмотров 274Год назад
En este video, se realiza una breve descripción de las redes neuronales artificiales, sus antecedentes, varios dominios que usan redes neuronales artificiales y cómo se pueden aplicar para un mejor modelado de varios propósitos.
Wavelet Neural Network (WT-FFNN)| Model development
Просмотров 1,3 тыс.Год назад
In this video a detailed description of the development of a Wavelet based Feed Forward Neural Network model with multi variable inputs for flood forecasting is developed. Along the course of the video various concepts and codes related to wavelet decomposition, normalization of the data, data division for model calibration and validation and error calculation are discussed and the videos of th...
Wavelet Neural Network Part 2 | Data Preparation| Thiessen Polygon
Просмотров 1 тыс.Год назад
Wavelet Neural Network Part 2 | Data Preparation| Thiessen Polygon
what is a Coupled Hydrological model?
Просмотров 7592 года назад
what is a Coupled Hydrological model?
Rainfall-Runoff Modelling using ELM| Code
Просмотров 1,4 тыс.2 года назад
Rainfall-Runoff Modelling using ELM| Code
Understanding Extreme Learning Machines code| Matlab
Просмотров 3 тыс.2 года назад
Understanding Extreme Learning Machines code| Matlab
Concept of Extreme learning machines (ELM)
Просмотров 9 тыс.2 года назад
Concept of Extreme learning machines (ELM)
Runoff Forecasting using Narx Neural Network
Просмотров 2,1 тыс.2 года назад
Runoff Forecasting using Narx Neural Network
Understanding Narx Neural Network code| Matlab
Просмотров 3,7 тыс.2 года назад
Understanding Narx Neural Network code| Matlab
Accuracy of satellite rainfall data sets| code|Matlab
Просмотров 5752 года назад
Accuracy of satellite rainfall data sets| code|Matlab
Analysis of Observed and Satellite rainfall data sets| Part 2
Просмотров 9302 года назад
Analysis of Observed and Satellite rainfall data sets| Part 2
Comparison of Observed and Satellite data sets | Part 1
Просмотров 6632 года назад
Comparison of Observed and Satellite data sets | Part 1
How to download satellite precipitation data sets | Part 2
Просмотров 2 тыс.2 года назад
How to download satellite precipitation data sets | Part 2
How to download satellite precipitation data | Part 01
Просмотров 1,4 тыс.2 года назад
How to download satellite precipitation data | Part 01
Types of Satellite Precipitation Data Sets
Просмотров 6572 года назад
Types of Satellite Precipitation Data Sets
Perdóname, no llegué a ver ni 3 minutos... Muy denso lento... Ademas de los ruidos de saliva... No puedo. Perdóname 😮
Thank you!
Sehr gut
Danke
Vidow was Bluer❤ Plz upload clear videw. But vidow was helpful
Thank you for the comment, I will take into consideration for the coming videos
@@myknowledgespace tnq
Great content, thank you for your help! however the sound was not very clear towards the last part of the video.
thank you for the comment, I am trying to improve the audio in my coming videos
Thanks.
nice! 👏
excellent content. please keep up!
you are a life-saver! thank you for your content.
Thanks for uploading this video.
Probably one of the best video on youtube. Nicely explained!! Is it possible to get the source code?
Bro, do you know how to use PIHM Model
I am sorry i dont have much knowledge about PIHM model
@@myknowledgespace do you know anyone who might on RUclips space?
Hello, I did not understand what you did. If I use narx from the matlab apps section here, is it the same or are you doing something different?
The model which I made is similar to the one in the toolbox, the modifications which I did are that I made sure that I can change parameters of interest and also I can use this code to make numerous loops to determine the optimum neurons for best results and so on.
Thanks for your video. Would you please share the code?
I will add it in the description
Great explanation of Dr. Huang's code
Thank you for your great effort in this channel. one question please can you suggest me a good reference about ANN and ML with MATLAB? which contains the mathematical concepts from the basics.
I currently don't remember the exact book which might help because I mostly learnt by reading research papers
Good job 👍💯. I have generated wavelets with the theory of trigonometric partition equations we can create wavelets. ruclips.net/video/p0Zc9onKQ0Q/видео.htmlsi=dX1K0xLtJ2iWSgf5 ruclips.net/video/3Ebvypj577E/видео.htmlsi=zeLyrZc54430eV5b ruclips.net/video/DV1iJV0oa7Y/видео.htmlsi=798Te0vetj90Q7j1
wonderful thank you very much
Please I want to send me the procedure of Matlab in pdf in order to usese in my work
In your videos you refer to 'previous videos' and 'next videos' without naming them. It would be helpful if you numbered the videos and referred to them explicitly by name and number. It would enhance understanding if the verbal definitions of time delays and feedback delays were accompanied by illustrative examples.
Hi, this is a very informative video. Thank you for making it. I wanted to know if there is a comparatively low resolution data sets, can wavelet analysis will show the significant variation ?
as far as i know, it can be used becasue it is used to understand the frequency of data
Thank u. Make more video like this plz
Thank u. Keep doing videos
VERY GOOD VIDEO. PLEASE COULD YOU SEND ME THE CODE, IAM IN DIRE NEED TO IT
its very good code, thank for your great effort
Hello, thank you for sharing. I wonder if we can use ELM in optimization problem?
Implementation?
thanks for sharing with us. how to save this image in png format ?
you can use line similar to this plt.savefig('c/raster/dem.png'), something similar with your output path and ending with the output file name with png at the end
Thanks for the video. Helped me understand better without all the math
Could you please share the code for Function 'Error 1'. One more thing: Some part of this code has become obsolete in Matlab 2020a onward. Do you have any plan to update?
I have a question: In a previous video you demonstrated ways of creating the input and target data in various lags in Excell. Here, in this code if we specify the input delay as 1:5, do we need to prepare the input in Excell with lag 1. lag 2..lag 5 arranged in adjacent columns or Matlab is clever enough to generate that on its one from a simple time series?
please i tried this and i got a value error: input shapes do not overlap raster. can you help ? Also i checked if the CRS are the same and they were.
sorry to hear that. Did u check the dta in qgis if they are overlapping. As you mentioned that CRS is same, once check the extents that might be an issue, if not please contact me at myknowledgespace1@gmail.com with you data so that i can analyse it better. Cheers!
Thank you sir for addressing ELM Query...the model worked well and provided good results....🙏 Sir I have doubt in data arrangement if I want to arrange the data through Excel for 1,3,5,7,10 day lead time can we do it by arranging the data as per your FFNN video in which you showed and then we can merge it with wavelet code for the analysis ...??
Yes, it is possible but first identify the data which has correlation similar to what i have done in the FFNN video or other videos and the arrange the corresponding data in tha manner to combine with wavelet code. cheers!
Can you post one tutorial on wavelet transorm in matlab using and explain power spectrum etc. It would be more helpful. Thank you.
Thank you for the suggestion, currently I dont have that concept in the agenda but will surely add it in. cheers!
Thanks
Sir the results which u are getting in er_test and er_ tr in 1x1 struct but I am getting as er_test as 2x1 cell and 1x1 network in which R,RMSE,NSC values are not shown. Please Help....🙏
I will try to look at the data which you provided me today and get back to you. Cheers!
Please send the video on machine learning
Nice video sir
i tried doing the same but correlation I am getting NaN in training and testing I checked the data and code multiple times but was unable to get the desired results. Please Help 🙏
sorry to hear that, but without knowing the data and code you are using i cannot help you with why you are getting NAN
Sir, I will contact you through mail.
May I ask which video describes the section on open loop and closed loop systems? I see a lot of related code that uses open loop NARX to train and then go to prediction in closed loop. I want to train an open loop NARX model and then go for prediction based on the open loop system. How should I do it? Thank you very much.
unfortunately, i didnt publish a video yet which discusses the usage of both open loop and closed loop and didnt come across any particular video which discusses the same, so i think the only option let would be git hub or coing sources. I hope you find what you are looking for, cheers!
Than you for effective and valuable information of The Wavelet Analysis developed on short time Fourier transform and how you describe it! Also we can see Wavelet analysis, cross-wavelet and coherence wavelet so we can better anyze the prediction of water quality and high accuracy in hydrology.
What is the meaning of Annual oscillation (AO) and semiannual oscillation (SAO) in the lower atmosphere?
annual oscillation refers to the yearly cyclic events which occurs in either the whole atmosphere or a climate variable . one of the example is season changes. whereas semi annual oscillation are the changes obeserved twice a year and one of the example is change in trade winds (west to east and east to west)
@@myknowledgespace Really appreciate your help.
Make classification on landsat
Very interesting thank you Can you do more videos 🙏🏻
More to come! Cheers!!
Thank you
Thank you... looking forward to learn more from you
I appreciate you sharing the link in the description as well. Keep up the great work on your channel
by using SRT downloader plugin in QGIS you can download the DEM much easier, I guess
Depends on convenience, i agree
any special need or advantage of plotting the shape file using python? when GIS softwares are there
yes, GIS software are there but python makes it simple while doing various analysis and the control on the plot and its details are better than that of GIS. Also it is good if you are doing more plots, GIS is not the best
@@myknowledgespace okay
@@myknowledgespace yes well said
wooow awsome work sir
Thank you! Cheers!