- Artificial Intelligence
- 286 (Registered)
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Course Content
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Introduction to Data Science This is an overall introduction about Artificial Intelligence, Machine Learning and Data Science 0/2
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Lecture1.1
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Lecture1.2
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Lecture1.3
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Lecture1.4
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Lecture1.5
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Quiz1.1
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Lecture1.6
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Python for Data Science 0/6
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Lecture2.1
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Lecture2.2
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Lecture2.3
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Lecture2.4
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Lecture2.5
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Lecture2.6
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Lecture2.7
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Lecture2.8
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Lecture2.9
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Quiz2.1
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Descriptive Statistics 0/4
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Lecture3.1
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Lecture3.2
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Lecture3.3
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Lecture3.4
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Quiz3.1
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Introduction to Pandas 0/5
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Lecture4.1
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Lecture4.2
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Lecture4.3
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Lecture4.4
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Lecture4.5
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Lecture4.6
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Quiz4.1
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Introduction to Numpy 0/5
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Lecture5.1
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Lecture5.2
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Lecture5.3
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Lecture5.4
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Lecture5.5
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Lecture5.6
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Quiz5.1
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Data Distribution 0/5
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Lecture6.1
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Lecture6.2
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Lecture6.3
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Lecture6.4
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Lecture6.5
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Lecture6.6
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Quiz6.1
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Inferential Statistics 0/4
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Lecture7.1
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Lecture7.2
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Lecture7.3
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Lecture7.4
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Lecture7.5
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Quiz7.1
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Statistics in Machine Learning 0/6
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Lecture8.1
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Lecture8.2
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Lecture8.3
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Lecture8.4
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Lecture8.5
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Lecture8.6
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Lecture8.7
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Quiz8.1
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Bi-variate Covariance and Correlation 0/5
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Lecture9.1
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Lecture9.2
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Lecture9.3
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Lecture9.4
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Lecture9.5
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Lecture9.6
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Quiz9.1
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Bi-variate Chi-square Test 0/4
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Lecture10.1
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Lecture10.2
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Lecture10.3
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Lecture10.4
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Quiz10.1
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Bi-variate Anova Test 0/3
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Lecture11.1
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Lecture11.2
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Lecture11.3
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Quiz11.1
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Linear Regression Assumption 0/4
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Lecture12.1
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Lecture12.2
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Lecture12.3
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Lecture12.4
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Lecture12.5
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Quiz12.1
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Multiple Linear Regression 0/7
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Lecture13.1
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Lecture13.2
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Lecture13.3
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Lecture13.4
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Lecture13.5
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Lecture13.6
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Lecture13.7
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Lecture13.8
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Lecture13.9
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Quiz13.1
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Polynomial Regression 0/7
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Lecture14.1
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Lecture14.2
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Lecture14.3
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Lecture14.4
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Lecture14.5
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Lecture14.6
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Lecture14.7
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Lecture14.8
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Lecture14.9
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Quiz14.1
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Normal Equation Solver 0/3
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Lecture15.1
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Lecture15.2
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Quiz15.1
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EDA and Model Building Pipeline 0/5
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Lecture16.1
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Lecture16.2
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Lecture16.3
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Lecture16.4
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Quiz16.1
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Gradient Descent 0/10
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Lecture17.1
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Lecture17.2
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Lecture17.3
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Lecture17.4
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Lecture17.5
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Lecture17.6
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Lecture17.7
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Lecture17.8
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Lecture17.9
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Lecture17.10
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Lecture17.11
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Quiz17.1
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Regularization and Feature Selection 0/4
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Lecture18.1
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Lecture18.2
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Lecture18.3
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Lecture18.4
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Lecture18.5
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Quiz18.1
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Classification-Logistic Regression - I 0/7
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Lecture19.1
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Lecture19.2
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Lecture19.3
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Lecture19.4
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Lecture19.5
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Lecture19.6
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Lecture19.7
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Lecture19.8
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Logistic Regression - II 0/8
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Lecture20.1
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Lecture20.2
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Lecture20.3
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Lecture20.4
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Lecture20.5
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Lecture20.6
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Lecture20.7
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Quiz20.1
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Classification - Multi Class 0/8
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Lecture21.1
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Lecture21.2
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Lecture21.3
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Lecture21.4
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Lecture21.5
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Lecture21.6
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Lecture21.7
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Quiz21.1
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K Nearest Neighbor (KNN) 0/5
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Lecture22.1
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Lecture22.2
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Lecture22.3
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Lecture22.4
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Quiz22.1
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Classification - Multi Label Output 0/4
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Lecture23.1
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Lecture23.2
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Lecture23.3
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Quiz23.1
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Support Vector Machine (SVM) 0/8
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Lecture24.1
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Lecture24.2
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Lecture24.3
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Lecture24.4
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Lecture24.5
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Lecture24.6
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Lecture24.7
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Quiz24.1
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Linear Algebra - III 0/9
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Lecture25.1
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Lecture25.2
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Lecture25.3
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Lecture25.4
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Lecture25.5
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Lecture25.6
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Lecture25.7
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Lecture25.8
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Quiz25.1
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Dimensionality Reduction 0/8
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Lecture26.1
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Lecture26.2
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Lecture26.3
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Lecture26.4
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Lecture26.5
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Lecture26.6
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Lecture26.7
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Quiz26.1
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Clustering 0/9
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Lecture27.1
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Lecture27.2
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Lecture27.3
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Lecture27.4
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Lecture27.5
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Lecture27.6
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Lecture27.7
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Lecture27.8
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Quiz27.1
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Decision Tree 0/12
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Lecture28.1
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Lecture28.2
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Lecture28.3
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Lecture28.4
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Lecture28.5
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Lecture28.6
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Lecture28.7
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Lecture28.8
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Lecture28.9
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Lecture28.10
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Lecture28.11
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Quiz28.1
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Ensemble Models 0/3
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Lecture29.1
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Lecture29.2
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Lecture29.3
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Anomaly Detection 0/1
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Lecture30.1
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Natural Language Processing (NLP) 0/11
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Lecture31.1
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Lecture31.2
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Lecture31.3
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Lecture31.4
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Lecture31.5
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Lecture31.6
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Lecture31.7
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Lecture31.8
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Lecture31.9
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Lecture31.10
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Lecture31.11
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Instructor
A technology enthusiast, speaker and entrepreneur. A post graduate in Master of Computer Applications and a certified Deep Learning Specialist from Coursera (a course by Andrew Ng). Had sixteen years of experience in software services and product development, out of which he worked in USA for 6 years. Successfully handled all phases of SDLC. Handled many roles as Java developer, Lead, Manager, Architect , Data Scientist and Vice President Engineering. Played a major role in establishing www.devjiva.com, established offshore center and successfully ran it for three years.
4 rating
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Gurram Venkat Ram Reddy
Online Course like Classroom Training
This course we can't say online it is more than online like can say Classroom training. Course content is in depth with clear explanation of maths behind the functionality. This is made for all levels of ehnthusiastics in learning new things, and exploring themselves. This course creates more interest and well structured manner. Never ever find such course anywhere. Thanks Rama Raju Garu. -
Best Institute for Machine Learning
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Vamsi Krishna
Excellent course to get started with Data Science and Machine Learning.
All the topics are explained well and connected all the dots (like, stats, math and algorithms) very well by Rama Raju Sir. I'd suggest this module for all the freshers and experienced IT professionals who are new to Data Science/Machine Learning and AI. -
Rahul Gunda
Machine Learning
Best Online course