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Machine Learning Algorithms

 July 15  | 0 Comments
  • Using Decision Trees for Regression Problems

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    Covariance and Correlation

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    Understand Power of Polynomials with Polynomial Regression

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    Logistic Regression With PCA – Speeding Up and Benchmarking

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    Using Gradient Boosting for Regression Problems

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    Random Forest Algorithm for Regression

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    Linear Regression

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    Logistic Regression

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    XGBoost Algorithm

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    K-Nearest Neighbor Algorithm

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    Decision Trees – How to Implement Decision Tree Algorithm Code in Python

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    Naive Bayesian Model

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    Multiple Linear Regression

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    Principal Component Analysis

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    K-Means Clustering Algorithm

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    Random Forest

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    Google Assistant

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    Hierarchical Clustering with R

  • Decision Tree using R

  • Predicting Low Infant Birth Weight using Decision Tree

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