This guide gives a complete understanding about various #machinelearning algorithms along with R & Python #codes to run them. These #algorithms can be applied to any data problem:
Linear Regression,
Logistic Regression,
Decision Tree,
SVM,
Naive Bayes,
kNN,
K-Means,
#Random Forest.
If you are keen to master machine learning, start right away.
Link : bit.ly/2CpWIjH
#machinelearning #deeplearning #python #coding #linkedin #decisiontrees #logisticregression #linearregression #forest #analytics #randomization #computervision
✴️ @AI_Python_EN
Linear Regression,
Logistic Regression,
Decision Tree,
SVM,
Naive Bayes,
kNN,
K-Means,
#Random Forest.
If you are keen to master machine learning, start right away.
Link : bit.ly/2CpWIjH
#machinelearning #deeplearning #python #coding #linkedin #decisiontrees #logisticregression #linearregression #forest #analytics #randomization #computervision
✴️ @AI_Python_EN
To much spelling error in your dataset?
Peter Norvig (Research Director at Google, previously director of search quality) revolutionize search engine quality by giving power to reduce spelling error (by splits, deletes, transposes, replaces, and inserts). You can see the comprehensive guide (with python code) at his website https://lnkd.in/fEb3v2a
#python #datasets #codes #statistician
✴️ @AI_Python_EN
Peter Norvig (Research Director at Google, previously director of search quality) revolutionize search engine quality by giving power to reduce spelling error (by splits, deletes, transposes, replaces, and inserts). You can see the comprehensive guide (with python code) at his website https://lnkd.in/fEb3v2a
#python #datasets #codes #statistician
✴️ @AI_Python_EN