Find answers to your questions about Data Science or help others by answering their Data Science questions.
I see a lot of job opportunities in the field of data science but I'm not sure the difference between a data scientist and deep learning algorithm developer. Can someone...
Asked on 09/05/2021
2 answerApart from the fact that they are neural networks, which usually is a reason for outperforming other algorithms, is there other reason helping auto-encoders perform well in outlier detection? I...
Asked on 09/05/2021 by Victor Luu
1 answerI have data from a survey from multiple locations (1 data set per location per year, each containing about 20-25 numerical scores from 0 to 5). This data is aggregated...
Asked on 09/05/2021 by laureapresa
0 answerI finished a 28 hours Machine learning with python (Basic course) on Udemy, and it was very beneficial. My aim, is to be able to understand what is ML and...
Asked on 09/05/2021 by alim1990
3 answerI am working with a really imbalanced dataset ($approx$ 1% of positive cases) for a classification problem. I know that class balancing is an important step in this scenario....
Asked on 09/05/2021
3 answerI've written the code below to try word2vec implementation of gensim. I've two questions:Even though I've removed stop words, the word "the" is listed as one of the most similar...
Asked on 09/05/2021 by Sanyo Mn
1 answerSome articles say that naive Bayes is naive because of "independence of attributes". Whereas others say "independence of attributes within a class". Can anybody please clear this confusion?Thanks...
Asked on 09/05/2021
1 answerEdit 2: The regularization term (reg_term) is sometimes negative due negatative parameters. Hence S[f"dW{l}"] contains some negative values. I realize the reg_term has to be added before taking the sqrt,...
Asked on 09/05/2021 by Simen
1 answerI am working on a Neural Network that can estimate building's carbon footprint based on the set of features and an image of urban surroundings (via CNN). ...
Asked on 09/05/2021 by Mateusz
1 answerI am having pretrained Sklearn model and pre-trained Standard scalar object saved as pickle . And now I want to create Sklearn pipeline using both of it. I need sklearn...
Asked on 09/05/2021 by Mangesh Divate
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