All Questions

I have monthly data of loan installment repayment. The data contains basic features like salary,age,gender, credit score etc. Along with above features, i have data for last 6 installment failure/...

I'm trying to resample my dataset after splitting it into train and test partitions using SMOTE. Here's my code: ...

Performing some calculations on a dataframe and stuck trying to calculate a few percentages. Would be 3 additional columns added for %POS/NEG/NEU. E.g., the sum of amount col for all w/ POS Direction ...

I tried to build Entity Embeddings of categorical data from a dataset. I took a dataset - "Bike share”.This dataset shows number of bike share/rent/sales in every ...

I need to collect all articles that are about countries and continents in Arabic from Wikipedia. I was wondering how do I find these articles if I downloaded the latest wiki dump? New to the field. ...

I am running the following code in python: a=np.ones(7) info={'pid':0} for i in range(5): f="a%d = info"%(i) exec(f) This creates a1,a2,a3,a4 as ...

I have 102 observations. I made standard scale for dataset. I have found the accuracy training and accuracy testing values, but training score is 1.00 and testing score is -217.541. I have run with ...

I am using Matlab to train a feedforward NN using Cross validation (CV) approach. My understanding of CV approach is the following. (Please correct me where wrong) Let ...

Can someone please help me understand what the names and shapes of the following tensorboard histogram outputs mean about an LSTM model I coded? Thank you! I understand the terms in the names like ...

I am following this post: http://jmcglone.com/guides/github-pages/ I have been using R and Rmarkdown for a few months, but I have no experience in github pages or any web related content: In the ...

TensorFlow 2 "Time series forecasting tutorial" (https://www.tensorflow.org/tutorials/structured_data/time_series#recurrent_neural_network) gives an example of a LSTM multi-step prediction model that ...

Is there a method to determine the ideal amount of Keywords, High Frequency Terms and High Key Terms for the Keygraph? To determine the ideal amount of topics for the LDA you have Topic Coherence or ...

I am working with the LIME implementation by Marco Ribeiro (https://github.com/marcotcr/lime). Specifically, I am utilizing the LimeTabularExplainer as I have a mixture of numerical and categorical ...

As I went through the basics of machine learning, I failed to understand how do the Convolutional layers in a CNN learn the convolution kernels. After looking at first few tutorials, I thought the ...

I have a linear numerical array source and I want to find/match test array as pattern : ...

As a conclusion of their paper "Efficient Backprop" (http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf) (§10 Discussion and Conclusion), LeCun and others conlude that the preferred method for ...

I've studied about various text representation techniques like : Bag of Words, N-gram data modelling, ...

I'd like to specify the kind of a problem I encountered. I need to compose the best route for a car driver who goes to different cities. His aim to check in the most proper car park in a city taking ...

I have millions of sensor readings taken over time. I'd like to create an interactive plot in Google colab where I can easily zoom in on sections. I've done something similar with the Plotly package....

Following a tutorial, I was able to plot an array of data using KMeans. I tried to implement so I read a csv file that is separated into column. Furthermore, I want to plot only the values of column ...

There are categorical features which have two different value in my dataframe next to numerical features. I've converted these categorical values to 0 or 1. I will apply correalation elimination on ...

I am reading the paper "ALBERT: LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS". ALBERT uses cross layer parameter sharing to improve the model performance. I don't understand how ...

Background I am building a simple face detection API with Python, Flask and the MTCNN face detector. My problem is that the model and API are running really quickly (batch of 100 images takes 0.5-0....

This task might be pretty simple to the most of you. However, I am struggling to calculate the PDF for the Gaussian distributions. Help is very much appreciated!

I am trying to use SHAP kernel explainer to understand my XGBOOST model. My data is the lending club data and I am trying to predict the Grade of each customer. The data contains different types of ...

I am completely new to R and lost. I am trying to generate M random samples of size k from a population of size N available in the form of text file, one per line. N >> k Then get a frequency ...

I have 16 datasets with time and one parameter. like: ...

I created a GridSearchCV for a Random Forest Regressor. Now i want to check the feature importance. I searched around and I found this ...

How to do template matching without opencv ? I have a order invoice of documents belonging to Amazon ,ebay,flipkart,snapdeal and i want to extract few information from the order invoice . Since the ...

Im trying to build a search engine for a private dataset using vector space model and have encountered following problem. Dataset Dataset is private. It is a collection of unstructed pdf . I have ...

I'm new to machine learning and i'm trying to create a small Knowledge Graph for search purposes similar to google for a class project. Okay, so i have been searching on this topic for few days and ...

Tensorflow Ver. 2.1 Model running with 21 columns/features. Learning and Test slices and normalized data. Model performs OK until try to use model.predict then ...

I am reading about deep learning using tensor flow using book Tensor flow for deep learning by Bharath RamSundar et. Here author implemented as below in chapter 5 ...

I have a data-set that has over 6 million normal data and around 50 anomaly data.Those anomaly data is identified by manually(monitoring the user`s activity over camera and identify). I need to ...

I am following the Matlab implementation of CV with NN. The following code explains training by cross validation (CV) aprroach on fisheriris dataset. Problem1: In this code if you could refer to the ...

I'm trying to make a GAN for generating pictures using this code: https://github.com/abhinav3/Udacity-DCGAN-FaceGeneration/blob/master/dlnd_face_generation.ipynb I'm doing this learning on GPU. The ...

I am currently watching amazing Deep Learning lecture series from Carnegie Melllon University, but I am having little bit of trouble understanding how Perceptrons and MLP are making their decisions on ...

I'd like to get started with machine learning, specifically image recognition. I know that Python is the most popular language for ML since it's easy to pick up and there's tons of libraries for it. I ...

Is it okay to combine RepeatedStratifiedKFold and cross_val_score? The result in the example below are 30 accuracy values (3x10 splits). How to calculate the final accuracy value for the 3 times 10 ...

Getting into machine learning, have a reasonable background in statistics and understand the basic principles of linear algebra (matrix multiplication etc.) - but am having a damn hard time figuring ...

I have a group of lists detailing temperatures over differing amounts of time. My goal is to use machine learning to identify periods in which a machine is turned on and off, where turning on the ...

I am a newbie to time series problems, I am doing one of the time series problems, I a have 317 columns and, I need to predict the stock Revenue and Price, I am trying to do it, but the many columns ...

I am trying to solve a problem where I am asked to perform classification using KNN but with a custom euclidean function: The function is the following: ...

Suppose that our data matrix X has a duplicated column, i.e, there is a duplicated feature and the matrix is not full column rank. What happpens? I guess that we can not find a unique solution ...

Let's make things simple. Imagine an underdetermined linear system with $N$ samples and $p$ features $(N<p)$. Let's say I found one of the possible (among many) solutions of such systems and ...

in my project, I am using asuite of shallow and deep learning models in order to see which has the best performance on my data. However, in the pool of shallow machine learning models, I want to be ...

I've realized that on examples and guides, sometimes feature selection processes (correlation elimination, backward/stepwise) are applied on the train data after splitting all data but on the other ...

In GoogLeNet (this link), there is 'v' notation in Figure3 like '1X1+1(v)'. I don't know the meaning of 'v'. Also, I understood 's' as stride. But, I don't know the reason why plus operation is used ...

I currently have a dataset with approximately 5% labelled points and 95% unlabelled. I would like to label some of the unlabelled points only if I am very confident and leave the rest NaN. Personally ...

I'm searching for a face recognition that detects new faces not just faces getting from the datasets, for example, facenet is a project that can detect and recognize a face from labels. I would like ...