Most popular @KDnuggets tweets for Oct 04-10 were

Most Retweeted:
Using #MachineLearning to Predict and Explain Employee Attrition https://t.co/ZsNRBYnlVt https://t.co/GyHl7Xoagi


Most Favorited:
Using #MachineLearning to Predict and Explain Employee Attrition https://t.co/ZsNRBYnlVt https://t.co/GyHl7Xoagi

Most Viewed:
Using #MachineLearning to Predict and Explain Employee Attrition https://t.co/ZsNRBYnlVt https://t.co/GyHl7Xoagi

Most Clicked:
#Tidyverse, an opinionated #DataScience Toolbox from R guru @HadleyWickham #rstats https://t.co/uszYNSahge https://t.co/wFs2xEwOCE

Top 10 most engaging Tweets

1. #Tidyverse, an opinionated #DataScience Toolbox from R guru @HadleyWickham #rstats https://t.co/uszYNSahge https://t.co/wFs2xEwOCE
2. Using #MachineLearning to Predict and Explain Employee Attrition https://t.co/ZsNRBYnlVt https://t.co/GyHl7Xoagi
3. #MachineLearning: Understanding Decision Tree Learning https://t.co/Nu7mskQ8sp https://t.co/TDALT4wfiG
4. #PyTorch tutorial distilled - Moving from #TensorFlow to PyTorch https://t.co/IthOkGCOmX #Python https://t.co/N9tMwemGRi
5. How I started with learning #AI in the last 2 months @braveproductguy https://t.co/TAtc7VGPd6 https://t.co/rzJrTS1atz
6. XGBoost, a Top #MachineLearning Method on #Kaggle, Explained https://t.co/Fvr9yo9UO1 https://t.co/OCJUUriyZY
7. Using #MachineLearning to Predict and Explain Employee #Attrition w. @h2oai https://t.co/EQ0GR7JT6C https://t.co/WevjSC4H2r
8. #DevOps Pipeline for a #MachineLearning Project https://t.co/3xSk75IuIx https://t.co/0sbX0d2nbY
9. A Guide For Time Series Prediction Using Recurrent #NeuralNetworks (LSTMs) https://t.co/JN8SAQHsMY https://t.co/Ovk5xax4n4
10. #DataScience -The need for a Systems Engineering approach https://t.co/qjoxqyIYcE https://t.co/ABAp5HAbYP