i choose this data set for my school project and I must clean it with ssis, is there any videos of etl process related to this data set with ssis and ssms?
@naruga60455 ай бұрын
i choose this data set for my school project and I must clean it with ssis, is there any videos of etl process related to this data set with ssis and ssms?
@sareekafashions515110 ай бұрын
#15 features selected by RFE #Inspecting VIF and p-value of the feature logreg = LogisticRegression() rfe = RFE(logreg, 10) rfe = rfe.fit(x_train,y_train) list(zip(x_train.columns, rfe.support_, rfe.ranking_))
@pradnyasangani5041 Жыл бұрын
Helpful video 😊
@swatimishra1555 Жыл бұрын
In your program image_count_train = len(list(data_dir_train.glob('*/*.jpg'))) print(image_count_train) image_count_test = len(list(data_dir_test.glob('*/*.jpg'))) print(image_count_test) 2239 118 train_ds = tf.keras.preprocessing.image_dataset_from_directory( data_dir_train, seed=123, validation_split = 0.2, subset='training', image_size=(img_height, img_width), batch_size=batch_size) Found 2239 files belonging to 9 classes. Using 1792 files for training. but when I run the same code, I get the same train and test data count.After preprocessing output is different from yours code output why it is so plz tell me . image_count_train = len(list(data_dir_train.glob('*/*.jpg'))) print(image_count_train) image_count_test = len(list(data_dir_test.glob('*/*.jpg'))) print(image_count_test) 2239 120 train_ds = tf.keras.preprocessing.image_dataset_from_directory( data_dir_train, seed=123, validation_split = 0.3, subset='training', image_size=(180, 180), batch_size=32) Found 29183 files belonging to 9 classes. Using 20429 files for training. anyone other who is implementing this code is facing same problem.
@lailatulrahmahbintimohamed6415 ай бұрын
I got the same problem. Have u found the solution to fixed it?
@swatimishra1555 Жыл бұрын
I have used same dataset.but after pre processing I am getting different no. of images.
@raghavjoshi72362 ай бұрын
how did u download the dataset
@sarveshpatil795 Жыл бұрын
Can we use this model for web application? What changes we needs to do ? Or we can directly use model building part
@pankajbhandari9584 Жыл бұрын
Mam i have an issue in another lead scoring model... the data is very complicated... i don't have any clue how to crack the data.... is there any chance you to help me on that.. it's very urgent
@AforAnalysis Жыл бұрын
You can share the details in LinkedIn. Address given in Chanel description. Thanks!
@saminansari6434 Жыл бұрын
I am not able to access your dataset, can you tell me how to get this
@AforAnalysis Жыл бұрын
Search in kaggle for skin cancer dataset. The format could slightly differ.
@harshi3288 Жыл бұрын
It would be great help if you suggest me some resources to learn python. From where did you learn python to be good enough to perform eda on dataset. I am struggling because i am not getting good resources to learn
@AforAnalysis Жыл бұрын
Hi Harshi,' tech with Tim ' and 'Code basics' have amazing Python tutorials. You can learn from any book as well. Most important is to pick up simple problem statements first and try to implement the solutions using Python.
@palurikrishnaveni8344 Жыл бұрын
In the dataset it was in.csv file is it possible to go for image datasets by reading the images
@palurikrishnaveni8344 Жыл бұрын
For me also I am getting less validation accuracy Thanks for making this video madam
@AforAnalysis Жыл бұрын
Great 👍
@fatimaiqra2169 Жыл бұрын
thanks a lot for sharing
@jayprakashyadav7712 Жыл бұрын
Hey ma'am how to avoid plagiarism while copying code
@rishikeshjha1332 Жыл бұрын
Bankloan casestudy Project submit ho gya tha? Plagiarism show nhi kiya.?
@sarathmurali150 Жыл бұрын
Ma’am I have a doubt is this run on web
@kapalalipesh856 Жыл бұрын
Hi Srijani Das, Can you please clarify the below doubt Can sensitivity/recall observed on test data can be greater than that observed on train data. Because I noted that the XGBoost Classifier, after applying SMOTE, has performed well with a good ROC-AUC score (0.99999) along with a high sensitivity rate (0.860759). Later, the model performed well on test data with a ROC-AUC Score of 0.98754 and a Sensitivity score of 0.88776
@bselectricals6835 Жыл бұрын
hello mam i am facing issue to assignement please help for the same
@bhooshan252 жыл бұрын
Very useful. I am making project report in Housing Loan default.
@AforAnalysis2 жыл бұрын
Glad it helped!
@prasadkannagiofficial2 жыл бұрын
My Project also Same ...If Possible Share Me Technical Documentation pdf
@AforAnalysis2 жыл бұрын
Check out the blog link, given in Chanel description. Most of the theory questions are explained there.
@ashwinkrishnan44352 жыл бұрын
Why no softmax layer?, Why have you split the train data into train and validation when test was seperately given
@AforAnalysis2 жыл бұрын
Validation data is meant for evaluating the model while training, hyperparameter tuning... on the other hand, test data is kept separately only to use once after model training is done.
@pratikghodke79832 жыл бұрын
Good
@pravinkamane76332 жыл бұрын
nicely explained
@steveideas37932 жыл бұрын
I got this error 'cannot import name imread' I'm using python 3.8
@AforAnalysis2 жыл бұрын
Please refer to our good old friend Stackoverflow!
@jacobashwinmathew37632 жыл бұрын
imread has been deprecated from current scipy .. you have to downgrade the scipy version
@AforAnalysis2 жыл бұрын
You can find the data here- www.kaggle.com/code/imsparsh/gesture-recognition-conv3d-conv2d-rnn/data?select=train
@mustafachenine79422 жыл бұрын
is there the same project using pca
@AforAnalysis2 жыл бұрын
Check machine learning projects Playlist.
@mustafachenine79422 жыл бұрын
@@AforAnalysis using PCA (Principal component analysis)
@chandrasekharpanidepu32832 жыл бұрын
COULD U PLEASE EXPLAIN STAT CONCEPTS ALONG WITH PYTHON CODE
@AforAnalysis2 жыл бұрын
Sure, will do that.
@lukasmolnar352 жыл бұрын
Thanks for the video! Is the dataset that was used here public?
@AforAnalysis2 жыл бұрын
Yes it is public.
@saisrikanthdvn69012 жыл бұрын
Yup, pretty much appreciated on your concept explanation about the data. However, we really need the explanation on code why it is written, how it is written . I wish your upcoming videos will concentrate more on this.
@AforAnalysis2 жыл бұрын
Thanks for the suggestions!
@nghani43682 жыл бұрын
Suggestions 1. Instead of the Test data , you could apply Algorithms on Train data and then cross validate against test data. 2. You have taken frequency of charges as base, what if , if the recharge happens on monthly, quarterly, annually ?
@AforAnalysis2 жыл бұрын
Yes, there are many ways to this based on different assumptions.
@nghani43682 жыл бұрын
Very good explanation of the intricacies of the code analysis. 👋👍
@ankitakarande13932 жыл бұрын
what does 'Refreshed' in NAME_CLIENT_TYPE?
@AshutoshPandey-qq5or2 жыл бұрын
how did you get you calculate value_wise_defaulter_percentage for various categories ?
@AshutoshPandey-qq5or2 жыл бұрын
Very well explained.
@abusalamkhan74672 жыл бұрын
Best underrated youtuber exploring fields of data science, Don't stop 👊🏻
@AforAnalysis2 жыл бұрын
Thank you for your kind words 🙏
@abhijeetdhumal86502 жыл бұрын
data set is very big any other dataset can we use?
@AforAnalysis2 жыл бұрын
You can try with smaller sample of the original data.
@GovindSoniDotCom2 жыл бұрын
Than you so much Srijani
@maazahmed62472 жыл бұрын
the dataset you provided wasn't sorted in the directories like your dataset is. Have I missed something?
@Otatoes11 күн бұрын
The dataset she used is only for classifying between 2 classes specifically, malignant and benign. If you want to classify more classes like 9 or 8 use the 2019 or 2018 version, i would suggest u use ADASYN if u can because val accuracy is very important, howver not exactly sure how much it will help coz real life images are always better. Also if u didnt know, the kink of the isic datasets is that they they are highly imbalanced. I got an f1 of 85.79 on the isic2019, 25 to 40k images with adasyn
@Otatoes11 күн бұрын
With a hybrid ensemble rainforest approach
@shubhamk03072 жыл бұрын
Thank you, for your video. I have this as my assignment and you cleared some of my doubts.
@vkaspagare46782 жыл бұрын
Showing error Evaluate model performance is not define
@AforAnalysis2 жыл бұрын
You might have missed function definition or importing module.
@AforAnalysis2 жыл бұрын
Download the datasets from www.kaggle.com/c/home-credit-default-risk/data
@AforAnalysis2 жыл бұрын
Download the datasets from here www.kaggle.com/c/home-credit-default-risk/data
@AforAnalysis2 жыл бұрын
Download the datasets from here : www.kaggle.com/c/home-credit-default-risk/data
@NazihIbrahim2 жыл бұрын
I'm trying to recreate the experiment but I can't find the data could you please provide it if it is not confidential..
@AforAnalysis2 жыл бұрын
I have updated the link in pinned comment. Please check it out!
@savathoeur13762 жыл бұрын
Looking for telecom or Bank case study
@terryterry37332 жыл бұрын
mam super . and just want to know how did u get this multi color words .. can u pls share
@AforAnalysis2 жыл бұрын
Sorry, I don't understand your query.
@Nikhil-tv5xp3 жыл бұрын
Why there is Lead Quality_Worst (Coefficient factor = - 3.943680) in top three i guess instead of that Tags_Will revert after reading the email = 3.83 will be there
@suryanarayanapalaparthi57573 жыл бұрын
Why logistic regression is not tried?
@AforAnalysis3 жыл бұрын
Logistic Regression is designed for 2-class problems, modelling the target using binomial probability distribution function. By default logistic Regression cannot be used for multi-class classification (this particular case study is one of them). Hope that clears your doubt!