Curriculum
4 Sections
25 Lessons
20 Weeks
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MACHINE LEARNING
23
5.1
Module 1: Introduction to Machine Learning
5.2
Module 1 Introduction to Machine Learning (Assignment Questions)
1 Week
5.3
Module 2: Supervised Learning
5.4
Module 2 Supervised Learning (Assignment Questions)
1 Week
5.5
Module 3: Unsupervised Learning
5.6
Module 3 Unsupervised Learning (Assignment Questions)
1 Week
5.7
Module 4: Support Vector Machines (SVM)
5.8
Module 4 Support Vector Machines (SVM) (Assignment Questions)
1 Week
5.9
Module 5: Decision Tree Classification
5.10
Module 5 Decision Tree Classification (Assignment Questions)
1 Week
5.11
Module 6: Ensemble Learning
5.12
Module 6 Ensemble Learning (Assignment Questions)
1 Week
5.13
Module 7: Model Selection Techniques
5.14
Module 7 Model Selection Techniques (Assignment Questions)
1 Week
5.15
Module 8: Recommendation Systems
5.16
Module 8 Recommendation Systems (Assignment Questions)
1 Week
5.17
Module 9: Text Analysis
5.18
Module 9 Text Analysis (Assignment Questions)
1 Week
5.19
Module 10: Dimensionality Reduction
5.20
Module 10 Dimensionality Reduction (Assignment Questions)
1 Week
5.21
Module 11: OpenCV
5.22
Module 11 OpenCV (Assignment Questions)
1 Week
5.23
Machine Learning Quizzes
1 Hour
50 Questions
Deep Learning & Neural Networks
27
6.1
Module 1: Introduction to Artificial Neural Networks
6.2
Module 1 Introduction to Artificial Neural Networks (Assignment Questions)
1 Week
6.3
Module 2: Introduction to Deep Learning
6.4
Module 2 Introduction to Deep Learning (Assignment Questions)
1 Week
6.5
Module 3: TensorFlow Basics
6.6
Module 3 TensorFlow Basics (Assignment Questions)
1 Week
6.7
Module 4: Optimizers
6.8
Module 4 Optimizers (Assignment Questions)
1 Week
6.9
Module 5: Activation Functions
6.10
Module 5 Activation Functions (Assignment Questions)
1 Week
6.11
Module 6: Building Artificial Neural Networks
6.12
Module 6 Building Artificial Neural Networks (Assignment Questions)
1 Week
6.13
Module 7: Modern Deep Learning Optimizers and Regularization
6.14
Module 7 Modern Deep Learning Optimizers and Regularization (Assignment Questions)
1 Week
6.15
Module 8: Building Deep Neural Networks Using Keras
6.16
Module 8 Building Deep Neural Networks Using Keras (Assignment Questions)
1 Week
6.17
Module 9: Convolutional Neural Networks (CNNs)
6.18
Module 9 Convolutional Neural Networks (CNNs) (Assignment Questions)
1 Week
6.19
Module 10: Word Embedding
6.20
Module 10 Word Embedding (Assignment Questions)
1 Week
6.21
Module 11: Recurrent Neural Networks (RNNs)
6.22
Module 11 Recurrent Neural Networks (RNNs) (Assignment Questions)
1 Week
6.23
Module 12: Generative Adversarial Networks (GANs)
6.24
Module 12 Generative Adversarial Networks (GANs) (Assignment Questions)
1 Week
6.25
Module 13: Speech Recognition APIs
6.26
Module 13 Speech Recognition APIs (Assignment Questions)
1 Week
6.27
Deep Learning & Neural Networks Quizzes
1 Hour
50 Questions
Capstone Project
1
7.1
Choose (Any 2)
Final Exam
2
8.1
Machine Learning and Deep Learning Final Test
3 Hours
8.2
Machine Learning and Deep Learning Final Quizzes
1 Hour
50 Questions
Machine Learning & Deep Learning
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Module 4: Support Vector Machines (SVM)
Topics:
Theory of SVM
SVM Implementation
Kernel, Gamma, Alpha
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