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0 0 votes
0 0 answers
457
457 views
Very short text classification when category text should be replaced by another category text?
I need some tool to classify articles based on short category text which consists of two or three words separated by '-'. The RSS/XML tag content is for example:Foreign -...
0 0 votes
0 0 answers
499
499 views
"Rare words" on vocabulary
I am trying to create a sentiment analysis model and I have a question.After I preprocessed my tweets and created my vocabulary I've noticed that I have words that appear...
0 0 votes
0 0 answers
493
493 views
Binary Classification and neutral tag
I am trying to create a sentiment analysis model using binary classification as loss.I have a batch of tweets that some of them are tagged as positive (labeled as 1) and ...
1 1 vote
1 1 answer
4.0k
4.0k views
How to remove unwanted Jupyter notebook kernels?
Whener I run Jupyter notebook there are some kernels that do not exist on system and generate errors. How can I remove them?
2 2 votes
1 answers 1 answer
6.6k
6.6k views
How to calculate the class probabilities and classify using Naive Bayes classifier?
We have data on 1000 pieces of fruit. The fruit being a Banana, Orange or some Other fruit and imagine we know 3 features of each fruit, whether it’s long or not, sweet o...
0 0 votes
0 0 answers
372
372 views
My GloVe word embeddings contain sentiment?
I've been researching sentiment analysis with word embeddings. I read papers that state that word embeddings ignore sentiment information of the words in the text. One pa...
1 1 vote
1 1 answer
723
723 views
Do I need to save the standardization transformation?
When I standardized my data when I created my model. Do I need to save the standardization transformation when I want to predict with my model new data ?
3 3 votes
1 answers 1 answer
6.0k
6.0k views
How to update the weights in backpropagation algorithm when activation function in not linear?
The goal of backpropagation is to optimize the weights so that the neural network can learn how to correctly map arbitrary inputs to outputs.Assume for the following neur...
2 2 votes
1 answers 1 answer
14.3k
14.3k views
How to calculate Accuracy, Precision, Recall or F1?
In the following example, calculate Accuracy, Precision, Recall or F1?https://i.imgur.com/OezFpqC.png
0 0 votes
1 1 answer
1.0k
1.0k views
How to predict from unseen data?
Hi. I have a question about model-based predictions when data is only available after the fact. Let me give you an example. I try to predict the result (HOME, AWAY or a D...
0 0 votes
0 0 answers
410
410 views
is it possible to derive a new 95% CI from two separate 95% CIs?
1 1 vote
1 answers 1 answer
1.3k
1.3k views
How to model unknown yet data
So far, I have modeled on known historical data. What if there are variables known only after the fact?Let me give you an example. I want to predict the outcome of the ma...
0 0 votes
0 0 answers
372
372 views
Probability of a bus arrived in its destination based on weather condition
A bus is making its way to a destination. If the weather conditions are favorable today, the likelihood of delay is 3%. If the weather conditions are not favorable today,...
1 1 vote
1 1 answer
677
677 views
From microarray data, which tools of pattern recognition can you apply to identify the genes responsible for diseases?
“During the last decade, the advent of microarray datasets stimulated a new line of research called Bioinformatics. A microarray database is a repository containing micro...
1 1 vote
2 answers 2 answers
12.2k
12.2k views
score() vs accuracy_score() in sklearn
Hi,Since I still have confuse to use the score() and accuracy_score(), so I want to confirm my test assumption.Q1: score(), we use the split data to test the accuracy by...
2 2 votes
1 answers 1 answer
20.9k
20.9k views
How to calculate k-means clustering with a numerical example?
Use the k-means algorithm and Euclidean distance to cluster the following 8 examples into 3 clusters:$A1=(2,10), A2=(2,5), A3=(8,4), A4=(5,8), A5=(7,5), A6=(6,4), A7=(1,2...
2 2 votes
1 answers 1 answer
20.4k
20.4k views
How to calculate Covariance Matrix and Principal Components for PCA?
The dataset with two features $(x,y)$ is shown as follows (note $y$ in this example is the second feature, not a target value):xy2.52.40.50.72.22.91.92.23.13.02.32.72.01....
1 1 vote
1 1 answer
589
589 views
Can we use a trained model to supervise the other machine learning models?
Is that possible to train a machine using another trained machine?
2 2 votes
0 0 answers
428
428 views
Where can I find illustrative real life machine learning examples (In business, work. etc.)?
Is there a website for finding illustrative real-life examples of using machine learning? For instance: for End to End Machine Learning, End to End Machine Learning, Clas...
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