Introduction to Data Science and Machine Learning, Gain hands-on experience and a deep understanding of data science using a proven step-by-step method
Publisher : Robert Dempsey
Course Length : 9 hours
Course Language : English
Description
Gain hands-on experience building a machine learning system and have a complete project you can add to your online data science portfolio, and code you can adapt to just about any machine learning problem you may encounter.
This course is a comprehensive, foundational data science course where you'll learn everything you need to know to get started in data science.
In this course you play the role of a data scientist for an online retailer, tasked with identifying sales trends and predicting future sales. To do that you’ll:
- Take a business problem and turn it into a data question
- Gather and prepare data for modeling
- Test different machine learning models and create predictions
- Store and visualize the data and your results
- Create reports in many formats – charty goodness galore!
- Along your journey you get hands-on with the latest machine learning with Python has to offer, including:
- Python machine learning libraries: Jupyter Notebook, Pandas, PivotTable.js, Scikit-learn, Matplotlib
- Docker
- Spark (PySpark)
- Elasticsearch
- Logstash
- Kibana
Who is the target audience?
- Anyone who wants to get hands-on experience with a data science project from start to finish.
- People who want to add a complete project to their data science portfolio.
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