Course Details
Day 1
Topic 1 - Python Fundamental
Topic 1.1 Get Started on Python
- Overview of Python
- Set Python
- Code Your First Python Script
Topic 1.2: Data Types
- Number
- String
- List
- Tuple
- Dictionary
- Set
Topic 1.3 Operators
- Arithmetic Operators
- Compound Operators
- Comparison Operators
- Membership Operators
- Logical Operators
Topic 1.4 Control Structure, Loop and Comprehension
- Conditional
- Loop
- Iterating Over Multiple Sequences
- Comprehension
Topic 1.5 Function
- Function Syntax
- Return Values
- Default Arguments
- Variable Arguments
- Lambda, Map, Filter
Topic 1.6 Modules & Packages
- Import Modules and Packages
- Python Standard Packages
- Third Party Packages
Day 2
Topic 2 - Data Analytics and Visualization with Python
Topic 2.1 Data Preparation
- Data Analytics with Pandas
- Pandas DataFrame and Series
- Import and Export Data
- Filter and Slice Data
- Clean Data
Topic 2.2 Data Transformation
- Join Data
- Transform Data
- Aggregate Data
Topic 2.3 Data Visualization
- Data Visualization with Matplotlib and Seaborn
- Visualize Statistical Relationships with Scatter Plot
- Visualize Categorical Data with Bar Plot
- Visualize Correlation with Pair Plot and Heatmap
- Visualize Linear Relationships with Regression
Topic 2.4 Data Analysis
- Statistical Data Analysis
- Time Series Analysis
Topic 2.5 Advanced Data Analytics
- Data Piping
- Groupby and Apply Custom Functions
- Linear Regression
Day 3
Topic 3 Machine Learning with Scikit Learn
Topic 3.1 Overview of Machine Learning and Scikit Learn
- Introduction to Machine Learning
- Supervised vs Unsupervised Learnings
- Machine Learning Applications and Case Studies
- What is Scikit Learn
- Installing Scikit-Learn
Topic 3.2 Classification
- What is Classification
- Classification Algorithms
- Classification Workflow
- Confusion Matrix
- Binary Classification Metrics
- ROC and AUC
Topic 3.3 Regression
- What is Regression?
- Regression Algorithms
- Regression Workflow
- Regression Metrics
- Overfitting and Regularizations
Topic 3.4 Clustering
- What is Clustering
- K-Means Clustering
- Silhouette Analysis
- Dendrogram and Hierarchical Clustering
Topic 3.5 Principal Component Analysis
- Curse of Dimensionality Issue
- What is Principal Component Analysis (PCA)
- Feature Reduction with PCA
Day 4
Topic 4 Basic Neural Network with Tensorflow
Topic 4.1 Introduction to Deep Learning
- Machine Learning vs Deep Learning
- Deep Learning Methodology
- Overview of Tensorflow Keras
- Install and Run Tensorflow Keras
- Basic Tensorflow Keras Operations
Topic 4.2 Neural Network for Regression
- What is Neural Network (NN)?
- Loss Function and Optimizer
- Build a Neural Network Model for Regression
Topic 4.3 Neural Network for Classification
- One Hot Encoding and SoftMax
- Cross Entropy Loss Function
- Build a Neural Network Model for Classification
Day 5
Topic 5 Advanced Neural Networks with Tensorflow
Topic 5.1 Convolutional Neural Network (CNN)
- Introduction to Convolutional Neural Network?
- ImageDataGenerator
- Image Classification Model with CNN
- Data Augmentation and Dropout
Topic 5.2 Transfer Learning
- Introduction to Transfer Learning
- Applications of Pre-Trained Models
- Fine Tuning Pre-Trained Models
Topic 5.3 Recurrent Neural Network (RNN)
- Introduction to Recurrent Neural Network (RNN)
- LSTM and GRU
- Build a RNN Model for Time Series Forecasting
- Build a RNN Model for Sentiment Analysis
Course Info
Prerequisite
The learner must meet the minimum requirement below :
- Read, write, speak and understand English
Target Audience
- NSF
- Full Time Students
- Data Analysts
Software Requirement
This course will use Google Colab for training. Please ensure you have a Google account.
Job Roles
- Data Analysts
- Machine Learning Engineers and Developers
Trainers
Dr Alvin Ang: Dr Alvin Ang is a ACTA certified trainer. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally
Terence Ee: Terence Ee is a ACTA certified trainr that has delivered IT training in Singapore and Myanmar. He has also facilitated faith formation courses for Christians in Singapore and Myanmar. As a trainer, his mission is to co-create insightful and actionable learning experiences with his learners.His current areas of focus include project management, information security management, quality management and office productivity applications.
Terence has more than 25 years of corporate IT experience. He has held senior management roles in the public and private sectors. He holds a Master of Science in Technology Management, a Bachelor of Science in Computer and Information Sciences, a Diploma in Family Education, and the Advanced Certificate in Training and Assessment (ACTA). Part of his spare time goes towards tutoring his children in their studies (while learning a thing or two along the way). He is also imparting to them the essential skills for thriving in a digital world.
Richard Wan: Richard Wan is a ACTA certified trainer. Richard Wan has more than 30 years of experience in software development in various computer disciplines, including computer vision, communication and digital publishing.
Technical expertise includes: Windows, Linux developments with C, C++, Delphi (Object Pascal), Visual Studio, OpenCV. Embedded system programming including microcontrollers, Arduino, Pi, BeagleBone etc.
Customer Reviews (12)
- will recommend Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Very good Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Mr Quah is knowledgeable and explain the subject clearly. Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - I got to know Alvin during a 5 Day ML Specialisation course under Tertiary Courses, Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Dr Alvin has vast knowledge about Python. Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Alvin is an examplary course instructor with a wealth of knowledge Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Dr Alvin is one of my trainers for 5 Days Machine Learning Specialization Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Dr Alvin Ang passionate teaching method make this course fun Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Dr Alvin had conducted the course with passion, very interesting and useful, really appreciated! Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Dr Alvin is knowledgeable and provide many valuable advices in class. Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - A highly recommend course Review by Course Participant/Trainee
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1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment