Do you want to leverage the power of Machine Learning without writing any code?
Do you want to break into Machine Learning, but you feel overwhelmed and intimidated?
Do you want to leverage Machine Learning for your business, but you don’t have data science or mathematics background?
If the answer is yes to any of these questions, you came to the right place!
This course is the only course available online that empowers anyone with zero coding and mathematics background to build, train, test and deploy machine learning models at scale.
Machine Learning is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects.
Machine learning is the study of algorithms that teach computers to learn from experience. Through experience (i.e.: more training data), computers can continuously improve their performance. Machine Learning techniques are widely used in several sectors nowadays such as banking, healthcare, transportation, and technology.
In this course, we will cover top 3 brand new tools to build, train and deploy cutting edge machine learning models without writing a single line of code! We will cover the new Google Vertex AI, Microsoft Azure Machine Learning Designer, and DataRobot AI.
University Admission Prediction Using Google Vertex AI
Bank Loan Risk Prediction Using Data Robot AI
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7The Rise of Machine Learning in Higher Education
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8Reading Material: The Rise of Machine Learning in Higher Education
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9Quiz: The Rise of Machine Learning in Higher Education
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10Machine Learning Regression 101
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11Google Vertex AI Demo Part 1: Setup and Upload
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12Google Vertex AI Demo Part 2: Model Training
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13Machine Learning Regression Models Metrics
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14Google Vertex AI Demo Part 3: Test and Deploy Trained Model
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15Recap and Concluding Remarks
Price Forecasting Using Microsoft Azure Machine Learning Designer
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16Introduction to Machine Learning in Finance/Banking
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17Reading Material: Machine Learning and AI in the Finance/Banking Industry
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18Quiz: Machine Learning and AI in Finance/Banking
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19Project Overview: Bank Loan Risk Prediction
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20Data Robot Demo Part #1: Sign Up and Dataset Upload
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21Data Robot Demo Part #2: Target Selection & Exploratory Data Analysis
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22Data Robot Demo Part #3: Model Training & Feature Importance
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23Data Robot Demo Part #4: Confusion Matrix, Precision, Recall, ROC, AUC
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24Data Robot Demo Part #5: Model Assessment
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25Data Robot Demo Part #6: Hyper Parameters Tuning
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26Data Robot Demo Part #7: Model Deployment and Making Inference
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27Project Recap and Concluding Remarks
Conclusion
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28Introduction to Machine Learning for Price Prediction
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29Reading Material: Machine Learning for Price Forecasting
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30Quiz: Machine Learning for Price Prediction
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31Project Overview
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32Microsoft Azure ML Demo Part #1: ML Signup and Studio Launch
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33Microsoft Azure ML Demo Part #2: Dataset Creation
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34Microsoft Azure ML Demo Part #3: Build ML Pipeline with ML Azure Designer
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35Microsoft Azure ML Demo Part #4: Execute and Test the Pipeline
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36Microsoft Azure ML Demo Part #5: Deploy Model and Make Inference
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37Mini Project: Build and Test Multiple Models
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38Mini Project Solution: Build and Test Multiple Models
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39Project Recap and Concluding Remarks