Decision Tree in R – Saisha's Tech

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Hello everyone, in last video we understood how to resolve Decision Tree - Over fitting using Pre-pruning and Post-pruning techniques and in today’s video we will understand practical implementation of decision tree for classification and regression in R, where we will look into the problem, build model, understand trees and check for over fitting of model.

Here is my previous video links, please have a look:

Why Data Science is Important .....? - Complete Data Science Tutorial - Saisha's Tech

Why Microsoft R Client..? - Installation of Microsoft R Client, R Studio, JDK - Saisha's Tech

Practical Applications of Data Science - Saisha's Tech

R Studio Introduction - Saisha's Tech

Basics of R & Data Types in R – Saisha's Tech

Decoding R Packages – Saisha's Tech

R Data Pre-processing - Part – 1 – Saisha's Tech

R Data Pre-processing – Part – 2 – Saisha's Tech

R Data Pre-processing – Part – 3 – Saisha's Tech

Data Visualizations in R – Saisha's Tech

Statistical Terms Definition – Saisha's Tech

Central Tendency, Skewness, Kurtosis – Saisha's Tech

Outliers Detection – Saisha's Tech

Measuring Variability and Spread in Data – Saisha's Tech

Coefficient of Variation & Standard Score – Saisha's Tech

Normal Distribution – Saisha's Tech

Attributes Types & Bernoulli Distribution – Saisha's Tech

Geometric Distribution – Saisha's Tech

Binomial Distribution – Saisha's Tech

Poisson Distribution – Saisha's Tech

Exponential Distribution – Saisha's Tech

Confidence Interval – Saisha's Tech

Hypothesis Testing – Saisha's Tech

T-test – Saisha's Tech

Z-test – Saisha's Tech

Chi-Square Goodness of Fit Test – Saisha's Tech

Chi-Square Independence Test – Saisha's Tech

ANOVA Test – Saisha's Tech

Correlation Coefficient – Saisha's Tech

Coefficient of Determination – Saisha's Tech

Introduction to Machine Learning – Saisha's Tech

Model Evaluation Metrics for Classification Algorithm – Saisha's Tech

Model Evaluation Metrics for Regression Algorithm – Saisha's Tech

Bias-Variance Trade-Off – Saisha's Tech

ROC curve & AUC – Saisha's Tech

K-Fold Cross-Validation – Saisha's Tech

Maxima and Minima – Saisha's Tech

Gradient Descent – Saisha's Tech

Linear Regression – Saisha's Tech

Linear Regression in R – Saisha's Tech

Maximum Likelihood Estimation – Saisha's Tech

Linear Regression for Classification – Saisha's Tech

Logistic Regression – Saisha's Tech

Multiclass Logistic Regression & Odds Ratio – Saisha's Tech

Logistic Regression in R – Saisha's Tech

Decision Tree Basics – Saisha's Tech

Decision Tree for Classification – Saisha's Tech

Decision Tree for Regression – Saisha's Tech

Resolving Decision Tree Over fitting – Saisha's Tech

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