In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Evaluate Machine Learning Algorithm – repeated kfold cross validation in R. 100+ End-to-End projects in Python & R to build your Data Science portfolio. repeated kfold cross …

In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Evaluate Machine Learning Algorithm – leave one out cross validation in R. 100+ End-to-End projects in Python & R to build your Data Science portfolio. leave one …

In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Evaluate Machine Learning Algorithm in R – kfold cross validation in R. 100+ End-to-End projects in Python & R to build your Data Science portfolio. kfold cross …

In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Evaluate Machine Learning Algorithm in R – dataset split in R. 100+ End-to-End projects in Python & R to build your Data Science portfolio. dataset split in …

In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Evaluate Machine Learning Algorithm in R – bootstrap in R. 100+ End-to-End projects in Python & R to build your Data Science portfolio. bootstrap in R. Introduction …

In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Regression with CARET in R. 100+ End-to-End projects in Python & R to build your Data Science portfolio. Regression with CARET in R. Introduction to Applied Machine …

Application Deadline: November 29, 2019 Brief Description University: The University of Queensland Department: NA Course Level: PhD Award: $28,092 Access Mode: Online Number of Awards: NA Nationality: International The award can be taken in Australia Eligibility Eligible Countries: International candidates are eligible to apply for the grant. Acceptable Course or Subjects: Available to pursue PhD …

In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Machine Learning with CARET in R – Binary Classification with CARET in R. 100+ End-to-End projects in Python & R to build your Data Science portfolio. Binary …

In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Algorithm Checkpoint with CARET in R. 100+ End-to-End projects in Python & R to build your Data Science portfolio. Algorithm Checkpoint with CARET in R. Introduction to …

In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Classification in R – SVM in R. 100+ End-to-End projects in Python & R to build your Data Science portfolio. SVM in R. Introduction to Applied Machine …

In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Classification in R – random forest in R. 100+ End-to-End projects in Python & R to build your Data Science portfolio. random forest in R. Introduction to …

In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Classification in R – partial least squares discriminant in R. 100+ End-to-End projects in Python & R to build your Data Science portfolio. partial least squares discriminant …