Все публикации

0:27:59

#5 Python Libraries for Data Analysis || Numpy Part 5

0:21:01

#4 Python Libraries for Data Analysis || Numpy Part 4

0:24:24

#3 Python Libraries for Data Analysis || Numpy Part 3

0:28:34

#2 Python Libraries for Data Analysis || Numpy Part 2

0:24:39

#1 Python Libraries for Data Analysis || Numpy Part 1

0:07:52

#46 Machine Learning || Introduction to The Reinforcement Learning

0:07:37

#45 Unsupervised Learning || Principle Component Analysis PCA

0:10:08

#44 Unsupervised Learning || Anomaly Detection || Finding Unusual Events

0:11:09

#43 Unsupervised Learning || Clustering || K-means Intuition

0:03:01

#42 Machine Learning || Decision Trees vs Neural Networks

0:15:09

#41 Machine Learning || Decision Tree || Sampling with replacement || Random Forest Algo. || XGBoost

0:09:11

#40 Machine Learning || Decision Tree || Regression Trees

0:12:28

#39 Machine Learning || Decision Tree || Continuous Valued Features

0:05:58

#38 Machine Learning || Decision Tree || Using one hot encoding of categorical features

0:08:08

Machine Learning || Building a Decision Tree Model

0:17:53

Machine Learning || Decision Tree || Measuring Purity || Entropy || Information Gain

0:11:23

Machine Learning || Decision Tree Learning Process

0:08:21

Machine Learning || Introduction to Decision Trees

0:12:43

Machine Learning || Improving The Learning Algorithm

0:16:00

Machine Learning || A Baseline Level of Performance || Learning Curves

0:08:14

Machine Learning || Regularization with Bias and Variance

0:10:24

Machine Learning || Bias and Variance

0:12:17

Machine Learning || Model Selection