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AI for Industry Trial

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Course Content

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Introduction to Python
IPY-1: Introduction to Python
IPY-2: Python Data Science Toolbox (Part 1)
IPY-3: Python Data Science Toolbox (Part 2)
Regression
SLRM-1 Regression
SLRM-2 Exploratory Data Analysis 1 Quiz
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Lesson Content
SLRM-2 Exploratory Data Analysis Quiz
SLRM-3 Building a Linear Regression Model 1 Quiz
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Lesson Content
SLRM-3 Building a Linear Regression Quiz
SLRM-4 Understanding Bias/Variance Trade-off
SLRM-5 Building a KNN Regressor 1 Quiz
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Lesson Content
SLRM-5 Building a KNN Regressor Quiz
Classification
SLCL-1 Classification 2
SLCL-2 Exploratory Data Analysis 1 Quiz
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Lesson Content
SLCL-2 EDA Quiz
SLCL-3 Classification using KNN 1 Quiz
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Lesson Content
SLCL-3 KNN Classification Quiz
SLCL-4 Handling Data Imbalance 1 Quiz
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Lesson Content
SLCL-4 Data Imbalance Quiz
SLCL-5 Decision Trees and Ensemble Methods
SLCL-6 Logistic Regression and building your own Ensemble 1 Quiz
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Lesson Content
SLCL-6 Trees and Ensemble Methods Quiz
Setting Up Machine Learning Environment
SMLE-1 Setting up your Machine Learning environment
SMLE-2 Getting to know your tools
SMLE-3 How to install your tools
SMLE-4 Practice Git
SMLE-5 The Bash terminal
SMLE-6 IDEs vs Jupyter Notebook
1 of 2

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Course Progress

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Course Navigation

Course Home
Introduction to Python
IPY-1: Introduction to Python
IPY-2: Python Data Science Toolbox (Part 1)
IPY-3: Python Data Science Toolbox (Part 2)
Regression
SLRM-1 Regression
SLRM-2 Exploratory Data Analysis
SLRM-3 Building a Linear Regression Model
SLRM-4 Understanding Bias/Variance Trade-off
SLRM-5 Building a KNN Regressor
Classification
SLCL-1 Classification 2
SLCL-2 Exploratory Data Analysis
SLCL-3 Classification using KNN
SLCL-4 Handling Data Imbalance
SLCL-5 Decision Trees and Ensemble Methods
SLCL-6 Logistic Regression and building your own Ensemble
Setting Up Machine Learning Environment
SMLE-1 Setting up your Machine Learning environment
SMLE-2 Getting to know your tools
SMLE-3 How to install your tools
SMLE-4 Practice Git
SMLE-5 The Bash terminal
SMLE-6 IDEs vs Jupyter Notebook
1 of 2

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To anchor deep national capabilities in Artificial Intelligence, thereby creating social and economic impacts, grow local talent, build an AI ecosystem and put Singapore on the world map.

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This research is supported by the National Research Foundation, Singapore under its AI Singapore Programme (AISG-RP-2019-050). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore.
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