Descriptions
Time Series with Python, Time series data is one of the most common data types and understanding how to work with it is a critical 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 including 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 stock data, UFO sightings, CO2 levels in Maui, monthly candy production in the US, and heartbeat sounds. By the end of this track, you’ll know how to forecast the future using ARIMA class models and generate predictions and insights using machine learning models.
What you’ll learn
- Manipulating 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
Specificatoin of Time Series with Python
- Publisher : Datacamp
- Teacher : STEFAN JANSEN
- Language : English
- Level : All Levels
- Number of Course : 5
- Duration : 20 hours to complete the course
Content of Time Series with Python
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Manipulating 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): www.downloadly.ir
File size
549 MB