Are you thinking about pursuing a career in Data Science and don't have any experience yet?
The truth is that it's much easier to land a well paying Data Science job when you have something to show, a reference.
This course will teach you how to develop and deploy a Machine Learning Model in the Cloud. You'll get your first Machine Learning reference.
Your model will be accessible with a link, which you can share with your future employers.
Here's a sample from the course. No email address necessary
What do you get:
- A 60 pages Ebook in PDF, AW3 and EPUB format
- 10 Jupyter Notebooks with the code
What is this course about?
In this course you will learn how to train a Machine Learning model that predicts "How would an article perform on a Data Science blog" based on its title.
What will you learn:
How to collect and analyze the data with Python and pandas
How to train the Machine Learning model with sklearn
What is Regularization
What is Bag of Words approach
What is Term Frequency–Inverse Document Frequency
What is the ROC curve
How to train a Machine Learning model
How to explain predictions of a Machine Learning model
How to start a server in AWS - inexpensive cloud computing services
How to build and deploy a Web Application
How to deploy a Machine Learning model in the Cloud
2. Data Collection with Scrapping
3. Data Validation
4. Data Transformation
5. Exploratory Data Analysis
6. Feature Extraction
9. Deploying the Machine Learning model to AWS
What are the prerequisites for the Course?
Basic knowledge of programming in Python and Jupyter Notebooks.
What's the refund policy?
If what you see is not what you expected, just reply to the download email within 10 days, and you'll get a full refund. No questions asked.
I have another question...
Please email me and I'd be happy to answer your question: email@example.com
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