< Data Engineering and Machine Learning Masterclass

57 casts | 7:22:54 for the total course

created by Mammoth Interactive INC

• 1. 00 - Mammoth Interactive Courses Introduction
  • Data Engineering and Machine Learning Masterclass | About Mammoth Interactive | 0.0

  • Data Engineering and Machine Learning Masterclass | How to Learn Online Effectively | 0.1

• 2. 00 - Python Introduction

  • Data Engineering and Machine Learning Masterclass | What is Python | 0.0B

  • Data Engineering and Machine Learning Masterclass | Intro to Python | 0.1B

• 3. 00b - Course Overview

  • Data Engineering and Machine Learning Masterclass | Course Overview | 0.0C

• 4. 1 - (Prerequisite) Introduction to Machine Learning

  • Data Engineering and Machine Learning Masterclass | What is Machine Learning | 1.0A

  • Data Engineering and Machine Learning Masterclass | Types of Machine Learning Models | 1.0B

  • Data Engineering and Machine Learning Masterclass | What is Supervised Learning | 1.0C

  • Data Engineering and Machine Learning Masterclass | How Does a Machine Learning Agent Learn | 1.1

  • Data Engineering and Machine Learning Masterclass | What is Inductive Learning | 1.2

  • Data Engineering and Machine Learning Masterclass | Performance of a Machine Learning Algorithm | 1.3

  • Data Engineering and Machine Learning Masterclass | Handle Noise In Data | 1.4

  • Data Engineering and Machine Learning Masterclass | Powerful Tools with Machine Learning Libraries | 1.5

• 5. 2 - (Prerequisite) Introduction to Python

  • Data Engineering and Machine Learning Masterclass | Intro | 2.0.0

  • Data Engineering and Machine Learning Masterclass | What is Google Colab | 2.0.1

  • Data Engineering and Machine Learning Masterclass | What If I Get Errors | 2.0.2

  • Data Engineering and Machine Learning Masterclass | How Do I Terminate A Session | 2.0.3

  • Data Engineering and Machine Learning Masterclass | Variables | 2.3.2

  • Data Engineering and Machine Learning Masterclass | Type Conversion Examples | 2.3.3

  • Data Engineering and Machine Learning Masterclass | Operators | 2.3.4

  • Data Engineering and Machine Learning Masterclass | Operators Examples | 2.3.5

  • Data Engineering and Machine Learning Masterclass | Collections | 2.3.6

  • Data Engineering and Machine Learning Masterclass | Lists | 2.3.7

  • Data Engineering and Machine Learning Masterclass | Multidimensional List Examples | 2.3.8

  • Data Engineering and Machine Learning Masterclass | Tuples Examples | 2.3.9

  • Data Engineering and Machine Learning Masterclass | Dictionaries Examples | 2.3.10

  • Data Engineering and Machine Learning Masterclass | Ranges Examples | 2.3.11

  • Data Engineering and Machine Learning Masterclass | Conditionals | 2.3.12

  • Data Engineering and Machine Learning Masterclass | If Statement Examples | 2.3.13

  • Data Engineering and Machine Learning Masterclass | If Statement Variants Examples | 2.3.14

  • Data Engineering and Machine Learning Masterclass | Loops | 2.3.15

  • Data Engineering and Machine Learning Masterclass | While Loops Examples | 2.3.16

  • Data Engineering and Machine Learning Masterclass | For Loops Examples | 2.3.17

  • Data Engineering and Machine Learning Masterclass | Functions | 2.3.18

  • Data Engineering and Machine Learning Masterclass | Functions Examples | 2.3.19

  • Data Engineering and Machine Learning Masterclass | Parameters and Return Values Examples | 2.2.20

  • Data Engineering and Machine Learning Masterclass | Classes and Objects | 2.2.21

  • Data Engineering and Machine Learning Masterclass | Classes Example | 2.2.22

  • Data Engineering and Machine Learning Masterclass | Object Examples | 2.2.23

  • Data Engineering and Machine Learning Masterclass | Inheritance Examples | 2.2.24

  • Data Engineering and Machine Learning Masterclass | Static Members Example | 2.2.25

  • Data Engineering and Machine Learning Masterclass | Summary and Outro | 2.2.26

• 6. 3 - Load, Clean, and Encode Data
• 7. 4 - Data Engineering for Machine Learning

  • Data Engineering and Machine Learning Masterclass | Scale and Encode Data With Scikit-Learn | 4.4

  • Data Engineering and Machine Learning Masterclass | What is Scaling Data | 4.4B

  • Data Engineering and Machine Learning Masterclass | Build, Train and Test a Machine Learning Model | 4.5

• 8. 5 - Build Regression and Discretizer Models

  • Data Engineering and Machine Learning Masterclass | Compare Decision Tree and Linear Regression Models | 5.1

  • Data Engineering and Machine Learning Masterclass | What is the Kbins Discretizer | 5.1C

  • Data Engineering and Machine Learning Masterclass | Bin Data With Kbins Discretizer | 5.2

  • Data Engineering and Machine Learning Masterclass | Compare Pinned Regression Models | 5.3

  • Data Engineering and Machine Learning Masterclass | What is K Means Clustering | 5.5A

  • Data Engineering and Machine Learning Masterclass | Build a Linear Regression Model on Stacked Data | 5.4

• 9. 6 - Data Transformation and Feature Selection for Ridge Regression

  • Data Engineering and Machine Learning Masterclass | Build Univariate Nonlinear Transformation | 6.1

  • Data Engineering and Machine Learning Masterclass | What is Gaussian Probability Distribution | 5.1B

  • Data Engineering and Machine Learning Masterclass | What is Poisson Distribution | 5.1C

  • Data Engineering and Machine Learning Masterclass | Build X and Y Data with Poisson Distribution in Numpy | 6.2

  • Data Engineering and Machine Learning Masterclass | What is Logarithmic Data Transformation | 6.2C

  • Data Engineering and Machine Learning Masterclass | Build a Ridge Regression Model | 6.3