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I'm working on a learning multi-label classification project, for which I've taken 16K lines of text and kind of manually classified them achieving around 94% of accuracy/recall (out of three...
Asked on 01/08/2021
2 answerI came across to find the correlation between the ratings assigned by two coaches to a same group of 40 players. I have tabulated the results as below: ...
Asked on 01/08/2021 by CoolJohnTo
1 answerMade a neural network using TensorFlow's Keras that is supposed to match an IP to one of the 7 type of vulnerabilities and give out what type of vulnerability that...
Asked on 01/08/2021 by Uzair Ahmed
2 answerAccording to the documentation of Scikit-Learn Gradient Boosting Regressor:init: estimator or ‘zero’, default=None: An estimator object that is used to compute the initial predictions. init has to...
Asked on 01/08/2021 by Chong Lip Phang
1 answerI would like to cluster/group the curves in the attached picture with Python. The data is...
Asked on 01/08/2021 by timm2110
0 answerI have a question about inverse reinforcement learning. As far as my research went, I found papers that deal with noisy observations of the state, but that's what the agent...
Asked on 01/08/2021 by Matheus Silva
0 answerI have a time series data set with the lifecycle of 9000 different B2B sales leads. What I call lifecycle consists of a dataset with one registry per day for...
Asked on 01/07/2021 by NuValue
1 answerI'm planning on building a basic content-based recommender system with word2vec and cosine similarity.The data consists of 300k documents in varying length. How do I evaluate my model if...
Asked on 01/07/2021
2 answerI have logs of the form (e.g. from a gym login).. the representational case is so: UserName, Login time, timeSpend_on_weights, time_spent_on_ellipticalAva, 5jan 12pm, 10 mins, 20 mins,Bob, 5jan 2pm,...
Asked on 01/07/2021 by Sridhar Iyer
1 answerI have a mission of classification with a lot of classes. I am comparing some ML algorithms for this case and I would like to try xgboost.I am writing...
Asked on 01/07/2021 by Ariel Amar
2 answerGet help from others!
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