The Data Science Course 2020 Complete Data Science Bootcamp 59 Case Study Applying Machine Learning to Create the absenteeism module 453 Standardizing only the Numerical Variables Creating Custom Scaler en srt

The Data Science Course 2020 Complete Data Science Bootcamp
The Data Science Course 2020 Complete Data Science Bootcamp 59 Case Study Applying Machine Learning to Create the absenteeism module 453 Standardizing only the Numerical Variables Creating Custom Scaler en srt

Name	The Data Science Course 2020 - Complete Data Science Bootcamp	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	16.4 GB
Total Files	1039
Hash	7D485A8BF477E5D78F3BE018DB3801B7EDED9983

/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/453 Standardizing only the Numerical Variables (Creating a Custom Scaler).en.srt	5.1 KB
/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/453 Standardizing only the Numerical Variables (Creating a Custom Scaler).mp4	43.2 MB
/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/457 Saving the Model and Preparing it for Deployment.en.srt	5.7 KB
/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/448 Standardizing the Data.en.srt	4.3 KB
/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/450 Fitting the Model and Assessing its Accuracy.en.srt	7.6 KB
/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/449 Splitting the Data for Training and Testing.en.srt	8.3 KB
/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/452 Interpreting the Coefficients for Our Problem.en.srt	8.1 KB
/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/456 Testing the Model We Created.en.srt	6.7 KB
/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/457 Saving the Model and Preparing it for Deployment.mp4	39.3 MB
/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/460 Preparing the Deployment of the Model through a Module.en.srt	5.8 KB
/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/445 Exploring the Problem with a Machine Learning Mindset.en.srt	4.7 KB
/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/454 Interpreting the Coefficients of the Logistic Regression.en.srt	7.4 KB
/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/446 Creating the Targets for the Logistic Regression.en.srt	8.6 KB
/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/450 Fitting the Model and Assessing its Accuracy.mp4	43.6 MB
/The Data Science Course 2020 - Complete Data Science Bootcamp/59 Case Study - Applying Machine Learning to Create the absenteeism_module/447 Selecting the Inputs for the Logistic Regression.en.srt	3.7 KB
Showing first 15 files of 1039 total files