Empirical_Study_of_Ensemble_Learning_Methods
psych-verbs
| Empirical_Study_of_Ensemble_Learning_Methods | psych-verbs | |
|---|---|---|
| 1 | 1 | |
| 10 | 0 | |
| - | - | |
| 0.0 | 0.0 | |
| over 3 years ago | almost 3 years ago | |
| R | Jupyter Notebook | |
| - | MIT License |
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Empirical_Study_of_Ensemble_Learning_Methods
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[P] Which Machine Learning Classifiers are best for small datasets? An empirical study
I've actually made the same kind of graph before. In this image: each point is the average of 5 out-of-fold predictions for one trial of k-fold cross-validation. I repeated the procedure 40 times to visualize the out-of-fold accuracy on the Wisconsin diagnostic breast cancer data set (560 observations on 30 numeric variables). I evaluated 14 models for classification:
psych-verbs
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4 tips for creating an impressive data science portfolio on GitHub
For example, for my research project on psych-verbs I wrote a paper-like README targeted at academics/fellow linguists, whereas for my movie recommender system I wrote an informal short description and included a screencast, aimed at a general audience.
What are some alternatives?
optuna - A hyperparameter optimization framework
Fake-News-Detection - To combat the spread of fake news, it’s critical to determine the information’s legitimacy, which this Data Science project can help with. To do so, Python can be used, and a model is created using TfidfVectorizer.LogisticRegression model is used to train and test the data ,numpy,pandas and some other packages are used in this project.
pyGAM - [HELP REQUESTED] Generalized Additive Models in Python
speech-emotion-recognition - A program that uses neural networks to detect emotions from pre-recorded and real-time speech
vswift - Tools created for machine learning classification model evaluation
dtreeviz - A python library for decision tree visualization and model interpretation.
voice-gender - Gender recognition by voice and speech analysis
linear-tree - A python library to build Model Trees with Linear Models at the leaves.
100-Days-Of-ML-Code - 100 Days of ML Coding
MouseView.js - Attentional mouse tracking. Alternative to online eye tracking. Eye tracking without the eyes!
STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA - Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
movie-recommender - Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface