Empirical_Study_of_Ensemble_Learning_Methods
100-Days-Of-ML-Code
| Empirical_Study_of_Ensemble_Learning_Methods | 100-Days-Of-ML-Code | |
|---|---|---|
| 1 | 4 | |
| 10 | 43,436 | |
| - | - | |
| 0.0 | 0.0 | |
| over 3 years ago | 4 months ago | |
| R | ||
| - | 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:
100-Days-Of-ML-Code
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Top 10 GitHub Repositories for Python and Java Developers
5. Avik-Jain/100-Days-Of-ML-Code - As the name implies, this repository offers a structured approach to learning machine learning with Python. It covers core ML principles and algorithms through real-world applications. https://github.com/Avik-Jain/100-Days-Of-ML-Code
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Top 10 GitHub Repositories Every Developer Should Bookmark in 2024
2) 100 Days of ML Code: Embark on a 100-day journey into the fascinating world of machine learning with this structured curriculum. Packed with bite-sized coding challenges and real-world projects, this repository will transform you from a coding novice to a confident ML enthusiast. (https://github.com/Avik-Jain/100-Days-Of-ML-Code)
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✨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free 💯
1️⃣ 100 Days Of ML Code
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The Ultimate Resource Guide for Your Next 100 Days of Code
ML: 100-Days-Of-ML-Code
What are some alternatives?
optuna - A hyperparameter optimization framework
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
pyGAM - [HELP REQUESTED] Generalized Additive Models in Python
machine_learning_basics - Plain python implementations of basic machine learning algorithms
psych-verbs - Research experiment design and classification of Romanian emotion verbs
Data-science-best-resources - Carefully curated resource links for data science in one place
vswift - Tools created for machine learning classification model evaluation
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
voice-gender - Gender recognition by voice and speech analysis
dive-into-machine-learning - Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
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
100DaysOfCode - A GitHub Repo for my #100DaysOfCode challenge projects