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Results tagged with machine-learning
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user 328384
Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
2
votes
1
answer
272
views
LGBM Intuition to Non-technical individuals
How can i explain LGBM to a non-technical person as it involves Trees/Ensembling and much more?
Using LGBM for solving a Regression problem and how does it helps in:
Better Prediction
Feature Import …
- 129
0
votes
Accepted
Statistical/Automated method for identifying a dataset suitable for Machine Learning Modelling
The Major, criteria i was looking for any Modular changes/multiple oscillations to track.
Explored few methods like Stationarity Test and Interdaily Stability, but both of these methods have assumptio …
- 129
0
votes
1
answer
38
views
Statistical/Automated method for identifying a dataset suitable for Machine Learning Modelling
Given a folder which has 10k Excel files, the objective is to identify the datasets suitable for Machine Learning Modelling Approach.
We use a script right now which performs this operation and call i …
- 129
1
vote
Cross-validation for (hyper)parameter tuning to be performed in validation set or training set?
I believe you are looking for a hard-rule stating how the data should be distributed. Well it is totally your call. Approach 1 is most widely used, but a better split would be 50% for training, 30% fo …
- 129
8
votes
4
answers
6k
views
How does PCA behave when there is no correlation in the dataset?
We all know that Principal Component Analysis is executed on a Covariance/Correlation matrix, but what if we have a very high dimensional data, assuming 75 features and 157849 rows?
How does PCA tackl …
- 129