![]() ![]() Python + R, Register for the NEW Learning Lab Series 2 Steps to Python I’ll notify you in advance of the accelerated 1-hour courses that you can attend via webinar. Register here to attend Python + R Learning Labs live for free. Lab 36: TensorFlow for Energy Demand Forecasting.Lab 34: Advanced Customer Segmentation and Market Basket Analysis.Lab 33: Human Resources Employee Segmentation.I just launched a NEW LEARNING LAB PYTHON + R SERIES (Register Here) that will show you how to use Python and R together on Real Business Projects: And, it’s impossible to teach you all the in’s and out’s in 1 short article. Setting up Python in R is an insane productivity booster, but you still need to learn how to use Python and R together for real business projects. How do I use them together for Business Projects? We’re going to go through the essential setup tips of the PRO’s - those that use Python from R via reticulate.ĭo a Cluster Analysis with Affinity Propagation Algorithm to make sure Scikit Learn is running. Use feature engineering with timetk to forecast
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