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Applied Machine Learning: Industry Case Study with TensorFlow
Gain insights into predicting retail sales with TensorFlow. Delve into data analysis, training models, and extracting insights using industry techniques. Explore efficient model evaluation with experts from top tech companies.
4.5
38 Lessons
3h
Join 2.9 million developers at
Join 2.9 million developers at
Learning Roadmap
2.
Preliminary Data Analysis
Preliminary Data Analysis
Look at the foundational aspects of data analysis, handling missing data, visualizing trends, and interpreting plots.
3.
Data Processing
Data Processing
14 Lessons
14 Lessons
Work your way through building an efficient data input pipeline using TensorFlow for machine learning.
4.
Model Predictions
Model Predictions
12 Lessons
12 Lessons
Break down the steps to developing, training, evaluating, and predicting with a regression model.
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Developed by MAANG Engineers
ABOUT THIS COURSE
In this course, you'll work on an industry-level machine learning project based on predicting weekly retail sales given different factors. You will learn the most efficient techniques used to train and evaluate scalable machine learning models. After completing this course, you will be able to take on industry-level machine learning projects, from data analysis to creating efficient models and providing results and insights.
The code for this course is built around the TensorFlow framework, which is one of the premier frameworks for industry machine learning, and the Python pandas library for data analysis. Basic knowledge of Python and TensorFlow are prerequisites. To get some experience with TensorFlow, try our course: Machine Learning for Software Engineers.
This course was created by AdaptiLab, a company specializing in evaluating, sourcing, and upskilling enterprise machine learning talent. It is built in collaboration with industry machine learning experts from Google, Microsoft, Amazon, and Apple.
ABOUT THE AUTHOR
Adaptilab
AdaptiLab is a Seattle-based SaaS startup helping companies grow their machine learning teams from hiring to productivity.
Trusted by 2.9 million developers working at companies
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Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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