Machine Learning and Data Science Essentials with Python & R

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20 Videos (5h 11m)
    • Machine Learning and Data Science Essentials with Python R Udemy

      1:30
    • Introduction

      7:10
    • Notations and Definitions

      11:14
    • Operations on Matrices and Vectors

      11:58
    • Matrix Properties, Inverse and Transpose

      15:04
    • Introduction Matrix Operations on R

      11:45
    • Introduction to Matrix Operations on Python

      11:23
    • Introduction to Machine Learning

      14:42
    • Linear Regression 1

      22:47
    • Linear Regression 2

      14:06
    • Linear Regression with Python & Tensorflow

      11:25
    • Linear Regression with R

      30:40
    • Classification and Logistic Regression

      11:40
    • Decision Boundary

      11:34
    • Cost Function for Logistic Regression

      14:55
    • Logistic Regression with Python & Tensorflow

      32:09
    • Logistic Regression with R

      31:09
    • K means and K NN algorithm

      14:23
    • K means and K NN algorithm on R

      19:02
    • K NN on Python using Tensorflow

      12:44