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60659 reviews on Udemy

Desenvolvimento da Oralidade – 40hr

Apresentar e enfatizar as possiblidades de trabalho pedagógico do professor para desenvolver a linguagem oral nas crianças.

Apresentar e enfatizar as possiblidades de trabalho pedagógico do professor para desenvolver a linguagem oral nas crianças.

Carga Horária: 40 hs

Curso na Modalidade 100% à Distância – EAD

  • Concepção
  • Desenvolvimento da Linguagem das crianças
  • O desenvolvimento da oralidade na perspectiva Vigotskiana vs. Piagetiana
  • Possibilidades de trabalho com a oralidade na Educação Infantil

Avaliação realizada através de questionário avaliativo no Ambiente Virtual de Aprendizagem

Welcome to the course!

1
Applications of Machine Learning
2
Why Machine Learning is the Future
3
Important notes, tips & tricks for this course
4
This PDF resource will help you a lot
5
Updates on Udemy Reviews
6
Installing Python and Anaconda (Mac, Linux & Windows)
7
Update: Recommended Anaconda Version
8
Installing R and R Studio (Mac, Linux & Windows)
9
BONUS: Meet your instructors

-------------------- Part 1: Data Preprocessing --------------------

1
Welcome to Part 1 - Data Preprocessing
2
Get the dataset
3
Importing the Libraries
4
Importing the Dataset
5
For Python learners, summary of Object-oriented programming: classes & objects
6
Missing Data
7
Categorical Data
8
WARNING - Update
9
Splitting the Dataset into the Training set and Test set
10
Feature Scaling
11
And here is our Data Preprocessing Template!
12
Data Preprocessing

-------------------- Part 2: Regression --------------------

1
Welcome to Part 2 - Regression

Simple Linear Regression

1
How to get the dataset
2
Dataset + Business Problem Description
3
Simple Linear Regression Intuition - Step 1
4
Simple Linear Regression Intuition - Step 2
5
Simple Linear Regression in Python - Step 1
6
Simple Linear Regression in Python - Step 2
7
Simple Linear Regression in Python - Step 3
8
Simple Linear Regression in Python - Step 4
9
Simple Linear Regression in R - Step 1
10
Simple Linear Regression in R - Step 2
11
Simple Linear Regression in R - Step 3
12
Simple Linear Regression in R - Step 4
13
Simple Linear Regression

Multiple Linear Regression

1
How to get the dataset
2
Dataset + Business Problem Description
3
Multiple Linear Regression Intuition - Step 1
4
Multiple Linear Regression Intuition - Step 2
5
Multiple Linear Regression Intuition - Step 3
6
Multiple Linear Regression Intuition - Step 4
7
Prerequisites: What is the P-Value?
8
Multiple Linear Regression Intuition - Step 5
9
Multiple Linear Regression in Python - Step 1
10
Multiple Linear Regression in Python - Step 2
11
Multiple Linear Regression in Python - Step 3
12
Multiple Linear Regression in Python - Backward Elimination - Preparation
13
Multiple Linear Regression in Python - Backward Elimination - HOMEWORK !
14
Multiple Linear Regression in Python - Backward Elimination - Homework Solution
15
Multiple Linear Regression in Python - Automatic Backward Elimination
16
Multiple Linear Regression in R - Step 1
17
Multiple Linear Regression in R - Step 2
18
Multiple Linear Regression in R - Step 3
19
Multiple Linear Regression in R - Backward Elimination - HOMEWORK !
20
Multiple Linear Regression in R - Backward Elimination - Homework Solution
21
Multiple Linear Regression in R - Automatic Backward Elimination
22
Multiple Linear Regression

Polynomial Regression

1
Polynomial Regression Intuition
2
How to get the dataset
3
Polynomial Regression in Python - Step 1
4
Polynomial Regression in Python - Step 2
5
Polynomial Regression in Python - Step 3
6
Polynomial Regression in Python - Step 4
7
Python Regression Template
8
Polynomial Regression in R - Step 1
9
Polynomial Regression in R - Step 2
10
Polynomial Regression in R - Step 3
11
Polynomial Regression in R - Step 4
12
R Regression Template

Support Vector Regression (SVR)

1
How to get the dataset
2
SVR Intuition
3
SVR in Python
4
SVR in R

Decision Tree Regression

1
Decision Tree Regression Intuition
2
How to get the dataset
3
Decision Tree Regression in Python
4
Decision Tree Regression in R

Random Forest Regression

1
Random Forest Regression Intuition
2
How to get the dataset
3
Random Forest Regression in Python
4
Random Forest Regression in R

Evaluating Regression Models Performance

1
R-Squared Intuition
2
Adjusted R-Squared Intuition
3
Evaluating Regression Models Performance - Homework's Final Part
4
Interpreting Linear Regression Coefficients
5
Conclusion of Part 2 - Regression

-------------------- Part 3: Classification --------------------

1
Welcome to Part 3 - Classification

Logistic Regression

1
Logistic Regression Intuition
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