# ML Algorithms

Bagging and Boosting Logistic Regression Naïve Bayes Linear Regression K-Means Clustering Random Forest Decision Tree Regularized Regression Models

Topic | Replies | Activity |
---|---|---|

Why isn't it recommended that you use Simple Linear Regression for Time Series data? | 2 | May 5, 2019 |

Coefficients of Random Forest | 2 | May 5, 2019 |

How to correct for heteroskedasticity in Linear Regression and coding help? | 2 | May 4, 2019 |

Choosing an appropriate Train-Test Split Size | 4 | April 23, 2019 |

Lasso Regression Vs Ridge Regression | 3 | April 17, 2019 |

Skewed Distributions | 4 | April 16, 2019 |

Overfitting using Random Forest | 2 | April 3, 2019 |

What does P-value signify about the statistical data? | 2 | April 3, 2019 |

Step-wise regression using p values to drop variables with non-significant p values | 2 | April 3, 2019 |

KMeans Clustering Vs KNearest Neighbors | 2 | March 18, 2019 |

Purity in Decision Trees: Gini Vs Entropy | 2 | March 1, 2019 |

R glmnet as.matrix() error message | 2 | December 20, 2017 |