Data Science Questions, Problems & Solutions : TransWikia.com ~ Page 309

MATLAB @ symbol for fminunc / fmincg function

I am following Andrew Ng's Coursera class on machine learning, and I came across this syntax for the fminunc and fmincg functions: fmincg (@(t)(lrCostFunction(t, X, (y == c), lambda)),initial_theta, options);...

Asked on 10/28/2020

1 answer

Implementing training in PyTorch

I wish to accomplish the following task in PyTorch- I have the COCO dataset, wherein each data sample is used in training YOLO v3. After being processed by the model,...

Asked on 10/28/2020 by Sannidhi

2 answer

Negative values in XGBoost regression

I am trying to perform regression using XGBoost. My dataset has all positive values but some of the predictions are negative. I read on this link that reducing the...

Asked on 10/28/2020 by Aastha Jha

1 answer

Clustering Weekday Weekend Data and Multicollinearity

Hi I have data of weekday and weekend step counts in which I extracted metrics from them such as the wd steps, we steps, standard deviation of wd steps, standard...

Asked on 10/27/2020 by TYL

1 answer

Importing C4.5 file to R dataframe

I want to convert the input data available as C4.5 file format into a R data frame. The data set can be downloaded from the following link...

Asked on 10/26/2020 by Vijay

1 answer

Alternative regression model algorithms for machine learning

I am looking for not so known regression models and if possible a python library that implements it. In my quiver I have:Generalized Linear Models, Linear, Lasso, Ridge...Decision Tree based...

Asked on 10/26/2020

1 answer

Model Deployment

I am trying to work on deploying my first model to Heroku. So I was referring some videos for it. I saw that some pre-processing like removing stopwords, lemmatizing etc...

Asked on 10/25/2020

0 answer

How can I find out what class each of the columns in the probabilities output correspond to using Keras for a multi-class classification problem?

I'm using transfer learning to build an image recognition model using a pre-trained VGG network in Keras and excluding the final fully-connected layer to get the output weights. I'm...

Asked on 10/25/2020 by Ryan Chase

2 answer

Convolutional neural network with 1 channel images/1 input channel

I'm following a tutorial on tensorflow using a convolutional neural network for images, but I'm looking to do it with grayscale images. How would the code posted...

Asked on 10/24/2020

2 answer

Text vectorizer that capture feature offset in the text?

I'm using sklearn Tfifdfvectorizer to extract feature from text towards text classification.I believe the information I need tends to be in the beginning of the document, so I would...

Asked on 10/24/2020 by R Sorek

1 answer

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