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Mastering Machine Learning with Python
ACF and PACF
ACF and PACF (8:40)
Analogy of TSA
Analogy of TSA (6:24)
Basics of Support Vector Machine
Basics of Support Vector Machine (4:38)
Decision Tree in Brief
Decision Tree in Brief (5:23)
Deep Learning
Deep Learning - ANN (66:41)
Deep Learning - CNN (Part 1 ) (27:54)
Deep Learning - CNN (Part 2) (27:02)
How does it work
How does it work (8:01)
How does this work (6:20)
Intro to TSA
Intro to TSA (6:07)
Kernel, Gamma and C value
Kernel, Gamma and C value (6:12)
Matrix multiplication
Matrix multiplication (8:58)
NLP
NLP PART 1 (9:51)
NLP PART 2 (16:53)
NLP PART 3 (15:14)
NLP PART 4 (16:51)
NLP PART 5 (11:31)
NLP PART 6 (13:44)
NLP PART 7 (17:01)
NLP PART 8 (14:44)
Null and alternative hypothesis
Null and alternative hypothesis (10:04)
One tailed and two tailed tests
One tailed and two tailed tests (8:17)
Open CV
Open CV - Part 1 (9:00)
Open CV - Part 2 (12:23)
Open CV - Part 3 (24:37)
Open CV - Part 4 (13:04)
Open CV - Part 5 b (5:05)
Open CV - Part 5 (9:10)
Open CV - Part 6 (14:34)
Open CV - Part 7 a (15:55)
Open CV - Part 7 b (5:31)
Parts of TSA
Parts of TSA (8:52)
RNN
RNN - Part 1 (24:16)
RNN - Part 2 (12:50)
RNN - Part 3 (16:18)
Rolling Stats
Rolling Stats (7:37)
Scalar ,vector, matrix and arrays
Scalar ,vector, matrix and arrays (12:39)
Scikit-Image
Scikit-Image - Part 1 (13:42)
Scikit-Image - Part 2 (13:53)
Scikit-Image - Part 3 (15:30)
Scikit-Image - Part 4 (16:13)
Significance level and p value
Significance level and p value (8:12)
Terminologies & Real-life examples
Terminologies & Real-life examples (4:00)
Terminologies used
Terminologies used (6:01)
Type I and Type II Errors
Type I and Type II Errors (5:52)
Understand NLP in detail
Understand NLP in detail (9:21)
Understanding PCA
Understanding PCA (8:23)
Walk through Sci-kit website
Walk through Sci-kit website (3:57)
What is a Decision Tree
What is a Decision Tree (4:41)
What is K-nearest-neighbour.
What is K-nearest-neighbour. (3:06)
What is Market Basket Analysis
What is Market Basket Analysis (5:13)
What is Naive Bayes Theorem
What is Naive Bayes Theorem (7:25)
What is Random Forest.
What is Random Forest. (2:58)
What is unsupervised learning.
What is unsupervised learning. (7:06)
Why the name
Why the name 2 (5:42)
Why the name (8:42)
Working Philosophy
Working Philosophy (6:27)
Case Study
Case Study 1 (3:05)
Case Study 2 (7:20)
Case Study 3 (8:18)
Case Study 4 (10:35)
Case Study 5 (6:56)
Case Study 6 (9:03)
Case Study 7 (7:42)
Case Study 8 (5:19)
Case Study 9 (9:29)
Quiz
Quiz
Scalar ,vector, matrix and arrays
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