No-Code Machine Learning: Practical Guide to Modern ML Tools
- Description
- Curriculum
- FAQ
- Reviews
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.
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7
The Rise of Machine Learning in Higher Education -
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Reading Material: The Rise of Machine Learning in Higher Education -
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Quiz: The Rise of Machine Learning in Higher Education -
10
Machine Learning Regression 101
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11
Google Vertex AI Demo Part 1: Setup and Upload
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12
Google Vertex AI Demo Part 2: Model Training
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13
Machine Learning Regression Models Metrics
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14
Google Vertex AI Demo Part 3: Test and Deploy Trained Model
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15
Recap and Concluding Remarks
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16
Introduction to Machine Learning in Finance/Banking
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17
Reading Material: Machine Learning and AI in the Finance/Banking Industry
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18
Quiz: Machine Learning and AI in Finance/Banking
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19
Project Overview: Bank Loan Risk Prediction
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20
Data Robot Demo Part #1: Sign Up and Dataset Upload
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21
Data Robot Demo Part #2: Target Selection & Exploratory Data Analysis
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22
Data Robot Demo Part #3: Model Training & Feature Importance
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23
Data Robot Demo Part #4: Confusion Matrix, Precision, Recall, ROC, AUC
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Data Robot Demo Part #5: Model Assessment
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25
Data Robot Demo Part #6: Hyper Parameters Tuning
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26
Data Robot Demo Part #7: Model Deployment and Making Inference
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27
Project Recap and Concluding Remarks
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28
Introduction to Machine Learning for Price Prediction
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29
Reading Material: Machine Learning for Price Forecasting
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30
Quiz: Machine Learning for Price Prediction
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31
Project Overview
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32
Microsoft Azure ML Demo Part #1: ML Signup and Studio Launch
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33
Microsoft Azure ML Demo Part #2: Dataset Creation
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34
Microsoft Azure ML Demo Part #3: Build ML Pipeline with ML Azure Designer
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35
Microsoft Azure ML Demo Part #4: Execute and Test the Pipeline
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36
Microsoft Azure ML Demo Part #5: Deploy Model and Make Inference
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37
Mini Project: Build and Test Multiple Models
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38
Mini Project Solution: Build and Test Multiple Models
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39
Project Recap and Concluding Remarks
