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AI-Books-By-Waqas
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Добавлен 21 июл 2020
"AutoMobile DataSet": From Wrangling, Exploratory Analysis to Model Development and Refinement.
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there.
ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT!
This video contains explanation for "AutoMobile DataSet": From Wrangling, Exploratory Analysis to Model Development and Refinement.
github.com/wiqaaas/youtube/tree/master/Exploratory_Data_Analysis/Automobile%20Data%20Analysis%20Capstone
ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT!
This video contains explanation for "AutoMobile DataSet": From Wrangling, Exploratory Analysis to Model Development and Refinement.
github.com/wiqaaas/youtube/tree/master/Exploratory_Data_Analysis/Automobile%20Data%20Analysis%20Capstone
Просмотров: 2 033
Видео
"911 Calls": Basic Data Exploration
Просмотров 3254 года назад
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there. ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT! This video contains explanation for "911 Calls": Basic Data Exploration ...
Interactive GeoSpatial Map using Folium
Просмотров 3784 года назад
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there. ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT! This video contains explanation for Interactive GeoSpatial Map using Fol...
Choropleth Map using Folium
Просмотров 3,9 тыс.4 года назад
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there. ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT! This video contains explanation for Choropleth Map using Folium. github....
Interactive 3d Scatter Plot using Plotly
Просмотров 4,7 тыс.4 года назад
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there. ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT! This video contains explanation for Interactive 3d Scatter Plot using Pl...
Word Cloud Visualization with Mask using Matplotlib
Просмотров 1 тыс.4 года назад
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there. ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT! This video contains explanation for Word Cloud Visualization with Mask u...
Customized Waffle Chart using Matplotlib
Просмотров 5094 года назад
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there. ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT! This video contains explanation for Customized Waffle Chart using Matplo...
Customized Pie Chart using Matplotlib
Просмотров 1484 года назад
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there. ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT! This video contains explanation for Customized Pie Chart using Matplotli...
Annotated Bar Chart using Matplotlib
Просмотров 1534 года назад
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there. ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT! This video contains explanation for Annotated Bar Chart using Matplotlib...
Customized Bar Chart using Matplotlib
Просмотров 744 года назад
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there. ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT! This video contains explanation for Customized Bar Chart using Matplotli...
Customized Histogram using Matplotlib
Просмотров 564 года назад
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there. ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT! This video contains explanation for Customized Histogram using Matplotli...
Area Plot using Matplotlib
Просмотров 9534 года назад
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there. ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT! This video contains explanation for Area Plot using Matplotlib. github.c...
Box Plot using Matplotlib
Просмотров 694 года назад
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there. ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT! This video contains explanation for Box Plot using Matplotlib. github.co...
Multiple Plots in Single Figure using Matplotlib
Просмотров 2034 года назад
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there. ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT! This video contains explanation for Multiple Plots in Single Figure usin...
Regression Plot using Seaborn
Просмотров 624 года назад
All of the material in this playlist is mostly coming from COURSERA platform. Thank you COURSERA! I have taken numerous courses from coursera github.com/wiqaaas/Coursera_Certificates For detail learning, please sign up for the relevant courses on COURSERA and learn from there. ALL CREDIT GOES TO COURSERA WITHOUT ANY DOUBT! This video contains implementation for Regression Plot using Seaborn. gi...
Annotated Scatter Plot using Matplotlib
Просмотров 1694 года назад
Annotated Scatter Plot using Matplotlib
Text Generation using Bidirectional LSTM
Просмотров 1,8 тыс.4 года назад
Text Generation using Bidirectional LSTM
Text Classification using Word Embeddings
Просмотров 3,1 тыс.4 года назад
Text Classification using Word Embeddings
Generative Adversarial Network based Face Generation
Просмотров 3074 года назад
Generative Adversarial Network based Face Generation
Image Generation using Variational AutoEncoders
Просмотров 6494 года назад
Image Generation using Variational AutoEncoders
Image Morphing using Convolutional AutoEncoders
Просмотров 2724 года назад
Image Morphing using Convolutional AutoEncoders
Image Retrieval using Convolutional AutoEncoders and Nearest Neighbors
Просмотров 3,6 тыс.4 года назад
Image Retrieval using Convolutional AutoEncoders and Nearest Neighbors
Image DeNoising Convolutional AutoEncoders using Tensorflow
Просмотров 1,6 тыс.4 года назад
Image DeNoising Convolutional AutoEncoders using Tensorflow
Image Compression using Convolutional Neural Networks AutoEncoders.
Просмотров 2,6 тыс.4 года назад
Image Compression using Convolutional Neural Networks AutoEncoders.
Image Compression based on Sparse AutoEncoders using Tensorflow
Просмотров 4534 года назад
Image Compression based on Sparse AutoEncoders using Tensorflow
Image Compression with PCA AutoEncoders using Tensorflow
Просмотров 1,1 тыс.4 года назад
Image Compression with PCA AutoEncoders using Tensorflow
Multiple Networks for Multi Source Data using Tensorflow
Просмотров 1564 года назад
Multiple Networks for Multi Source Data using Tensorflow
Multitasking Convolutional Neural Network using Tensorflow
Просмотров 5294 года назад
Multitasking Convolutional Neural Network using Tensorflow
Brain Tumor detection based on MRI Image Segmentation using U-Net from Scratch in Tensorflow
Просмотров 35 тыс.4 года назад
Brain Tumor detection based on MRI Image Segmentation using U-Net from Scratch in Tensorflow
Tensorflow, that was what I looking for. Thanks
Hey sir is anyone is here...i need some help
Hey sir... anyone is here ... I need some help
Thanks for deep explanation. I am implementing Grad cam on brain MRI images but it is not focusing on the tumor region. What's the reason.
Hello im facing the same problem. Any help.?
Can you please provide the link for dataset
U talking too fast cant understand anything
Anyone here applied Fastsurfer CNN for MRI segmentation task based on GOOGLE Colab environement i need some help please 🙏🙏
bluds playback speed is 2x by default
bro, please let me know, how did you preprocess the data to h5 format.
mate. why are you speaking so fast.
Can VAEs handle very high resolution images and non-square inputs? (4k images)
Great explanation, sir; worked out the code sir, and I have a specific doubt how can we give images other than test set like our own image
Excellent explanation ... thank you so much for such nice video.. keep it up 👍👏
This is great! Thanks!
Hey, I was wondering about training_cleaned.csv, which is referred to in your code. The BBC text file is accessible online and I found it easily but training_cleaned.csv seems that it might've been cleaned by you? Would it be possible to put it in the git as well? Thanks!
Looks like Indian map
Great explanation
Thank you sir. You explained clearly.
Thank you, that was a great explanation..❤❤❤❤
Is't it Semantic Segmentation? Usually, in detection, we need to draw the bounding box.
how can we find the accuracy of this model?
Thankyou, a fairly concise explanation about the basic structure of ResNet50. Actually, It would be easier to follow, if you could talk more slowly and more 'relaxed'. The duration of the above video is 17 min which is good. But I think it is still okay if you prolong the duration of such a video upto about 25 minutes, by talking more slowly and more "relaxed", thankyou ...
Really code
so Content based recommendation is based on an individuals own choice of preferences whereas collaborative filtering influences the recommendation of an individual based on other users similar preferences?
This is a hidden gem of a demo! Deserving of way more views than it has.
How to use custom images dataset in autoencoders ?
I am getting this error, please anyone help me ValueError: `decode_predictions` expects a batch of predictions (i.e. a 2D array of shape (samples, 1000)). Found array with shape: (1, 3)
worst explanation i have seen bro no logic you just copied from another site man
can you run the model training? i follow but got error in google colab
sir i pretrained my model , sir how can i do word embedding in roman urdu dataset?
Sir, I got the message when running the data. Traceback (most recent call last): File "E:\code\youtube-master\Machine_Learning_from_Scratch\Adaptive_Neuro_Fuzzy_Inference_System\example_ANFIS.py", line 56, in <module> pearsonr(y_train,pred_train.reshape(-1,1)) File "D:\Anaconda\lib\site-packages\scipy\stats\stats.py", line 4034, in pearsonr xmean = x.mean(dtype=dtype) File "D:\Anaconda\lib\site-packages umpy\core\_methods.py", line 178, in _mean ret = umr_sum(arr, axis, dtype, out, keepdims, where=where) TypeError: No loop matching the specified signature and casting was found for ufunc add
Dear Sir. I am working on Intuitionistic Fuzzy C-Means Clustering Algorithm and trying my best to draw the clusters in excel. I could not find any available library of "Intuitionistic Fuzzy C-Means Clustering Algorithm". Sir, it is a humble request to you, please provide me with any source to draw the clusters for Intuitionistic Fuzzy C-Means.
@muhammadadnanbashir4057. I am also working on fuzzy c Mena for my clg project
sir we need Rensnet-50 model summary with img size 224x224
Very nice
Very helpful.. thank you very much... please upload more projects
Which course have full understanding of this code?
Sir kindly share the its code and datset for understanding
data set?
Hi. Greetings from Nicaragua. Why, in the categorical features, do you only explore the "body-style", "engine-location" and "drive-wheels"? Why not explore the other categorical features?
can you provide any of your contact?
hello brother can i contact you for the sake of a help in my project?
Hi brother, how to import ANFIS module using jupyter, since I cannot install through pip or pip3
sir speaking too fast..
Settings > Playback speed > 0.75
Nice video and very helpful sir, I tried your code andI noticed that it does not exclude the movie that the user rated for recommendation
⁰lóo⁸
Its good example of Collaborative Filtering but cannot understand why spoke very fast. in last 2 minutes its very difficult to understand.
Sir. I have a question. Can I use CAM for any activation maps in arbitrary layers? For instance, a model with 15 layers convolution, and i want to visualize layer 10, 11... or any layers? And if my model is a concatenation between CNN and Vision Transformer, like DCViT, could I also do that, visualize convolution layer after CNN block? If not, is there any technique can do?
good
Hello can you help me with this implementation?
Is this ML or DL project ?
If you are explicitly adding dense layer after getting features from cnn, should u call it transfer learning