7 Useful Python Machine Learning Libraries You Should Use in Your Next Project
Power up your Machine Learning development
There is a proverb “You don’t have to reinvent the wheel”. Libraries are the best example of that. It helps you to write complex and time-consuming functionality in an easy way. According to me, a good project uses some of the best libraries available. Here I have compiled 7 useful Python libraries that will help you in your Machine learning development journey.
1. Prophet
This one is from Facebook. It provides a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. It is robust to missing data and shifts in the trend, and typically handles outliers well. This library has more than 15k stars on GitHub.
