All Questions
Tagged with machine-learning python
1,891
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Live odds data set for horse racing [closed]
I am looking for a resource of live odds for horse racing to implement in my model. I know they exist, I just can't find anything that has worked, yet. Live, updated and accessible are what I'm ...
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53
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Cost Function Increases, Then Stops Growing
I understand the zig-zag nature of the cost function when applying gradient descent, but what bothers me is that the cost started out at a low 300 only to increase to 1600 in the end.
The cost ...
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Is this recursive forecasting right for timeseries analysis?
Training a model just to make a quick prototype
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How to predict Future CPU Usage in Time Series reusing your already trained model?
I'm currently working on a time series problem where I need to predict future CPU usage. I have historical data consisting of CPU usage along with features like hour, day of week, and month. However, ...
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Resources for Integrating Good Machine Learning Techniques (CoursEra preferred)
I've plateaued as a Python programmer. I understand the ins and outs of developing:
Cross Validated ML Scripts for a variety of models (Random Forest, SVM, SVR, ...)
Multivariate tools (Lasso, ...
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Latest Tree-based models
What are the latest Tree-based models that are used in machine learning? Tell the new models except the old ones such as the Decision tree, Random Forest, Gradient Boosting, LightGBM, XGBoost, and ...
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6
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Reinforcement learning with Q learning doesn't seem to be learning
I'm encountering an issue with my PyTorch-based Q-learning model. Despite implementing the reinforcement learning algorithm, the model seems to be stuck at the same balance level without showing any ...
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Multi-class Classification with Categorical and Time-series Features
I have a problem where I want to classify certain entries into clusters, based on their categorical features (such as Country, Category, as dataframe columns), and also their selling pattern (time ...
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62
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Improving GPU Utilization in LLM Inference System
I´m trying to build a distributed LLM inference platform with Huggingface support. The implementation involves utilizing Python for model processing and Java for interfacing with external systems. ...
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Fuzzy Name Matching with Machine Learning. Input data encoding
I have a huge dataset: Last name, first name, date of birth of Indian residents and I need to match them for similarity.
The matching is fuzzy, the data looks like this (names are fictitious for the ...
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1
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82
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Test Error is extremely higher than Training error after gridsearch and crossvalidation
I'm currently working on a machine learning project. It's a supervised learning problem. My goal is to predict for given data of an animal(keeping,size,weight,...) ingredients(energy,vitamine etc..). ...
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34
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Can anyone help me understand this problem in my data?
I tried making a model using the autoTS library but the thing is in the result it gives me the following results. I checked everything there is no missing data but the original data had a missing ...
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recognition of names, surnames and patronymics
is there an example of neural networks on Github or Kaggle that perform the task of recognizing identical surnames, first names and patronymics?
I'm just learning neural networks so it's interesting ...
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Is it possible to train a neural network to feed into a Random Forest Classifier or any other type of classifier like XGBoost or Decision Tree?
I want to create a model architecture to predict future stock price movement as such:
The Goal of this model is to predict if the price will go UP or DOWN within the next 3 months.
I have tried a few ...
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