Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 2 years ago.
Improve this question
I am looking for beginner Machine Learning Linear Regression problems. I searched in Kaggle, but couldn't find a proper one. Can you please suggest me a beginner problem from Kaggle, or from any other platform?
Thanks in advance.
Kaggle has tons of linear regression notebooks and datasets to learn from, most popular ones are probably about house pricing (given certain house features predict it's price).
Here's a new one I'm looking forward to solve:
Ben & Jerry's flavours and ratings ---> products.csv
The main goal would be predict wich ice cream flavours are better accepted based on it's ingredients.
Related
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 7 months ago.
Improve this question
I just read this blog post about Machine Learning, Clustering and Cluster Computing.
My question is, how do I get started in Machine Learning ?
You need to have basic knowledge of Calculus, Statistics, Probability, and Linear Algebra.
After that, you can build a roadmap for your career, or maybe you can find some Machine Learning roadmaps on google.
Machine Learning by Andrew NG is also a good course to start.
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 4 years ago.
Improve this question
I am a sort of newbie to NLP world.
But anyway, I have just started my NLP project.
My task is about inferring hidden sentence in a paragraph.
Let me show you an example question.
a multiple choice question about inferring a clause in the blank
I want my machine learning model to extract some meaningful phrase from the given text(in above image, a paragraph)
I know that my question sounds quite ambiguous for you all. I just want to know even a small clue.
Thank you for your response in advance.
Skip-thought vectors are a system for predicting sentences from a context, by essentially constructing sentence-wide vectors. Might be useful, especially so in combination with context2vec if you want to build a custom model.
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 6 years ago.
Improve this question
My product is made in Python and I need Semantic Analysis for classification of sentences into questions, complaints, etc. Which is the best framework for the same?
I think the best approach would be, try several methods, cross-validated each method using a separate validation data set (or using K-Fold cross-validation) and pick the best one.
So as a starting point you can try:
Simple Logistic Regression using scikit-learn
Random Forest or Gradient Boosting Tree
Recurrent Neural Networks using Keras library.
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 8 years ago.
Improve this question
I was curious if anyone knew of something like this flowchart but for Computer Vision tasks? Specifically for OpenCV would be most ideal.
Or any references with best practices, and common patterns for Computer Vision problems?
That's a monumental task. The best I could find is from this article and it's a little bit old:
Maybe it's a good time to commit to FlexCV on Kickstarter.com, a GUI for OpenCV that allows you to create complex algorithms in a matter of minutes by connecting graphical elements together. It's an alternative for Adaptive Vision, but purely based on OpenCV features.
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 9 days ago.
Improve this question
I am badly looking for a small size (around 50 nodes) link prediction dataset, with node attributes (preferably real-valued attributes).
The network can be directed or undirected (preferably directed), but the network preferably not be bipartite.
Of course I am looking for a free, ready to use dataset.
Perhaps related to a social network, author communications, etc.
Does any one knows a specific dataset? I really really appreciate showing me one.
This Google+ social networks with node attributes should be good for you. You can find it here: https://gonglab.pratt.duke.edu/google-dataset
The 'Social Network Analysis Interactive Dataset Library' at http://www.growmeme.com/sna/visual has over 150 datasets, and an ability to filter by directed/undirected and bipartite = true/false and whether community information is present (among other things).