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~Get Your Files Here !/3 - Support Vector Machines for Regression/8 - Support Vector Machine Radial Basis Function RBF Kernel.mp4 129.5 MB
~Get Your Files Here !/3 - Support Vector Machines for Regression/4 - Partition of the Dataset Time Series Windows.mp4 126.2 MB
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1.1-The Course Overview - Machine Learning with TensorFlow [Video].mp4 11.2 MB
1.2-Introducing Deep Learning - Machine Learning with TensorFlow [Video].mp4 10.4 MB
1.3-Installation on Mac OSX - Machine Learning with TensorFlow [Video].mp4 15.5 MB
1.4-Installation on Windows – Pre-Requisite Virtual Machine Setup - Machine Learning with TensorFlow [Video].mp4 11.6 MB
1.5-Installation on WindowsLinux - Machine Learning with TensorFlow [Video].mp4 16.3 MB
2.1-The Hand-Written Letters Dataset - Machine Learning with TensorFlow [Video].mp4 5.5 MB
2.2-Automating Data Preparation - Machine Learning with TensorFlow [Video].mp4 9.0 MB
2.3-Understanding Matrix Conversions - Machine Learning with TensorFlow [Video].mp4 10.7 MB
2.4-The Machine Learning Life Cycle - Machine Learning with TensorFlow [Video].mp4 8.0 MB
2.5-Reviewing Outputs and Results - Machine Learning with TensorFlow [Video].mp4 7.2 MB
3.1-Getting Started with TensorBoard - Machine Learning with TensorFlow [Video].mp4 9.8 MB
3.2-TensorBoard Events and Histograms - Machine Learning with TensorFlow [Video].mp4 11.0 MB
3.3-Our Previous Project on TensorBoard - Machine Learning with TensorFlow [Video].mp4 12.7 MB
3.4-The Graph Explorer - Machine Learning with TensorFlow [Video].mp4 15.7 MB
4.1-Convolutional Neural Networks - Machine Learning with TensorFlow [Video].mp4 10.0 MB
4.2-Fully Connected Neural Networks - Machine Learning with TensorFlow [Video].mp4 9.1 MB
4.3-Programming a CNN - Machine Learning with TensorFlow [Video].mp4 11.7 MB
4.4-CNN Versus Fully Connected Network Performance - Machine Learning with TensorFlow [Video].mp4 6.0 MB
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07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/005 Lab_ Machine Learning Models' Comparison & Best Model Selection.mp4 106.2 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/004 Lab_ Random Forest in R.mp4 105.0 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/002 Lab_ Polynomial regression in R.mp4 68.1 MB
05 More types of regression models/001 Lab_ Multiple linear regression - model estimation.mp4 63.1 MB
05 More types of regression models/005 ANOVA - Categorical variables with more than two levels in linear regressions.mp4 57.2 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/003 Your first linear regression model in R.mp4 55.9 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/002 Lab_ Decision Trees in R.mp4 54.5 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/001 Overview of Regression Analysis.mp4 51.5 MB
01 Introduction to the course, Machine Learning & Regression Analysis/002 Introduction to Regression Analysis.mp4 51.5 MB
03 R Crash Course - get started with R-programming in R-Studio/006 Lab_ data types and data structures in R.mp4 50.4 MB
02 Software used in this course R-Studio and Introduction to R/006 Lab_ Get started with R in RStudio.mp4 50.0 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/005 Lab_ Generalized additive models in R.mp4 49.8 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/004 Lab_ Spline regression in R.mp4 49.2 MB
05 More types of regression models/003 Lab_ Multiple linear regression with interaction.mp4 46.7 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/006 Lab_ Linear Regression Diagnostics.mp4 45.3 MB
02 Software used in this course R-Studio and Introduction to R/004 Lab_ Install R and RStudio in 2020.mp4 40.6 MB
03 R Crash Course - get started with R-programming in R-Studio/007 Vectors' operations in R.mp4 37.7 MB
01 Introduction to the course, Machine Learning & Regression Analysis/003 What is Machine Leraning and it's main types_.mp4 36.0 MB
03 R Crash Course - get started with R-programming in R-Studio/012 Read Data into R.mp4 33.5 MB
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