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.

Intermediate

38 Lessons

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

36 Playgrounds

16 Challenges

This course includes

36 Playgrounds

16 Challenges

Course Overview

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...Show More

Course Content

What you'll learn from this course

Get familiar with applying machine learning to real-world projects, from data processing to presentation.

Overview

Preliminary Data Analysis

Look at the foundational aspects of data analysis, handling missing data, visualizing trends, and interpreting plots.

Introduction

The Dataset Missing Data Dropping Features Filling In Data Merging Data Categorical Data Scatter Plot Bar Plot Interpreting Plots Quiz

Data Processing

Work your way through building an efficient data input pipeline using TensorFlow for machine learning.

Introduction

Splitting Datasets Integer Features Float Features String Features Writing TFRecords Example Spec Parsing Examples TFRecords Dataset Numeric Columns Indicator Columns Embedding Columns Model Input Layer Quiz

Model Predictions

Break down the steps to developing, training, evaluating, and predicting with a regression model.

Introduction

Model Layers Regression Function Training Mode Evaluation Mode Prediction Mode Regression Model Model Training Model Evaluation Making Predictions Final Report Course Conclusion

Course Author

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Part of the Machine Learning Path

Become a Machine Learning Engineer

This Skill Path covers Python fundamentals, machine learning techniques and algorithms through practical exercises, preparing you as a machine learning engineer for real-world applications.

12 Modules

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