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Embark on Your Data Science Journey: Beginner Machine Learning Bootcamp
Course Overviews
00 Course Overview (13:46)
01 Introduction to Machine Learning
00 What Is Machine Learning (5:26)
01 Types Of Machine Learning Models (12:17)
02 What Is Supervised Learning (11:04)
03 What Is Unsupervised Learning (8:17)
04 How Does A Machine Learning Agent Learn (7:38)
05 What Is Inductive Learning (4:11)
06 Performance Of A Machine Learning Algorithm (4:14)
07 Handle Noise In Data (5:22)
08 Powerful Tools With Machine Learning Libraries (12:11)
02 Probability and Statistics for Machine Learning
00 Probability And Information Theory Overview (5:15)
01 Combinatorics For Probability (8:44)
02 Law Of Large Numbers (10:38)
03 Calculate Center Of Distribution (7:40)
Source Files
03 Distributions in Machine Learning
00 Uniform Distribution (5:25)
01 Gaussian Distribution (3:45)
02 Log-Normal Distribution (3:28)
03 Exponential Distribution (3:04)
04 Laplace Distribution (1:54)
05 Binomial Distribution (9:05)
06 Multinomial Distribution (3:59)
07 Poisson Distribution (4:21)
Source Files
04 Machine Learning Optimization
00 Calculate Error Of Machine Learning Model (8:44)
Source Files
03 Exponential Distribution
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