Descriptions
Time Series with Python: Time series data is one of the most common data types and understanding how to work with it is an important data science skill if you want to make predictions and report on trends. In this track, you’ll learn how to manipulate time series data using Pandas, work with statistical libraries like NumPy and Statsmodels to analyze data, and develop your visualization skills using Matplotlib, SciPy, and Seaborn. You’ll then apply your time series skills using real-world data, including financial inventory data, UFO sightings, CO2 levels on Maui, monthly candy production in the US, and heartbeat sounds. By the end of this track, you’ll know how to predict the future using ARIMA class models and generate predictions and insights using machine learning models.
What you will learn
- Manipulate Time series data in Python
- Time Series analysis in Python
- visualize Time series data in Python
- ARIMA Models in Python
- machine Learning for time series data in Python
Specifying time series with Python
- Publisher : Data Camp
- Teacher: MICHAEL SCHULZ
- Language: English
- Level: All levels
- Number of courses: 5
- Duration: 20 hours to complete the course
Content of time series with Python
Pictures
Sample clip
installation Guide
Extract the files and watch them with your favorite player
Subtitles: English
Quality: 720p
Download links
Editing time series data in Python
Time series analysis in Python
Visualizing time series data in Python
ARIMA models in Python
Machine Learning for Time Series Data in Python
Password file(s): free download software
File size
549MB