Course

Artificial Intelligence & Machine Learning

₹30,000.00

Machine Learning has been grown as the new emerging field in the IT industry; this facilitates evaluation, optimization and representation; all of these are the components of the algorithm. The training on Machine Learning Programs help the candidates to excel in their fields & the organizations to cope up with adequate IT needs. The training Programs consist of creating interfaces for maintaining organizational data & Process flow.

Fifth Gen Tech offers Machine Learning courses that help the candidates with datasets consisting of input data without labeled responses. Moreover, the candidates will get a chance to meet up with the industry Professionals, who help them in gaining hands-on sessions to deal with the real time organizational obstacles.

Data Processing

  • Overview of Data Preprocessing
  • Get the dataset
  • Importing the Libraries
  • Importing the Dataset
  • Missing Data
  • Categorical Data
  • Splitting the Dataset into the Training set and Test set
  • Feature Scaling
  • How to Set Up Working Directory

Regression

Simple Linear Regression

  • How to get the dataset
  • Dataset + Business Problem Description
  • Simple Linear Regression Intuition
  • Simple Linear Regression in R

Multiple Linear Regression

  • How to get the dataset
  • Dataset + Business Problem Description
  • Multiple Linear Regression Intuition
  • Multiple Linear Regression in Python
  • Multiple Linear Regression in Python – Backward Elimination – Preparation
  • Multiple Linear Regression in R

Polynomial Regression

  • Polynomial Regression Intuition
  • How to get the dataset
  • Polynomial Regression in Python
  • Python Regression Template
  • Polynomial Regression in R
  • R Regression Template

Support Vector Regression (SVR)

  • How to get the dataset
  • SVR in Python
  • SVR in R

Decision Tree Regression

  • Decision Tree Regression Intuition
  • How to get the dataset
  • Decision Tree Regression in Python
  • Decision Tree Regression in R

Random Forest Regression

  • Random Forest Regression Intuition
  • How to get the dataset
  • Random Forest Regression in Python
  • Random Forest Regression in R

Evaluating Regression Models Performance

  • R-Squared Intuition
  • Adjusted R-Squared Intuition
  • Interpreting Linear Regression Coefficients

Course Features

  • Students 11 students
  • Max Students100
  • Duration10 week
  • Skill levelall
  • LanguageEnglish
  • Re-take course2
Curriculum is empty

Instructor

fithgentech

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