Machine Learning Certification Online | Machine Learning Training Online

Course Overview

This machine learning course provides a comprehensive overview of machine learning topics, including working with real-time data, creating algorithms using supervised and unsupervised learning, regression, classification, and time series modeling. In this machine learning certification course, you will learn how to use Python to predict data.

The Machine Learning course curriculum has been designed by our expert trainers. Besides this, you will also get a Machine Learning tutorial. This is a Machine Learning for beginners course but experienced people can also do it as basic and advanced topics are included in the course. The concept of artificial intelligence and Machine Learning is also included in the course.

Machine Learning Certification Key features

Learn the concept of data science and Machine Learning
Know the details of Microsoft Machine Learning
Online Machine Learning will provide you with a certificate after completing the course.
Learn the usage of Machine Learning language
The concept of Machine Learning GitHub is also included in the course
Get the support 24/7

Who should take Online Machine Learning Course?

Candidates having experience in Python and data analysis and are looking for a certification in machine learning to complement your skills in practical Python machine learning applications can pursue Machine Learning deep learning course.

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Course curriculum / Syllabus

Course Introduction

Course Introduction
Accessing Practice Lab

AI and Machine Learning Overview

Learning Objectives
Emergence of Artificial Intelligence
Artificial Intelligence in Practice
Sci-Fi Movies using AI concept
Recommender Systems
Machine Learning, Artificial Intelligence, and Data Science
Definition and Features of Machine Learning
Machine Learning Approaches
Machine Learning Techniques
Applications of Machine Learning

Data Preprocessing

Learning Objectives
Data Exploration Loading Files
Data Exploration Techniques
Seaborn
Data Wrangling
Missing Values in a Dataset
Outlier Values in a Dataset
Data Manipulation
Functionalities of Data Object in Python
Different Types of Joins
Typecasting

Supervised Learning

Learning Objectives
Supervised Learning
Supervised Learning- Real-Life Scenario
Understanding the Algorithm
Supervised Learning Flow
Types of Supervised Learning
Types of Classification Algorithms
Types of Regression Algorithms
Regression Use Case
Accuracy Metrics
Cost Function
Evaluating Coefficients
Challenges in Prediction
Logistic Regression
Sigmoid Probability
Accuracy Matrix

Feature Engineering

Learning Objectives
Feature Selection
Regression
Factor Analysis
Factor Analysis Process
Principal Component Analysis (PCA)
First Principal Component
Eigenvalues and PCA
Linear Discriminant Analysis
Maximum Separable Line
Find Maximum Separable Line

Supervised Learning Classification

Learning Objectives
Overview of Classification
Classification: A Supervised Learning Algorithm
Use Cases of Classification
Classification Algorithms
Decision Tree Classifier
Decision Tree Examples
Decision Tree Formation
Choosing the Classifier
Overfitting of Decision Trees
Random Forest Classifier- Bagging and Bootstrapping
Decision Tree and Random Forest Classifier
Performance Measures: Confusion Matrix
Performance Measures: Cost Matrix
Naive Bayes Classifier
Steps to Calculate Posterior Probability
Support Vector Machines : Linear Separability
Support Vector Machines : Classification Margin
Linear SVM : Mathematical Representation
Non-linear SVMs
The Kernel Trick

Unsupervised Learning

Learning Objectives
Overview
Example and Applications of Unsupervised Learning
Clustering
Hierarchical Clustering
Hierarchical Clustering Example
K-means Clustering
Optimal Number of Clusters

Time Series Modeling

Learning Objectives
Overview of Time Series Modeling
Time Series Pattern Types
White Noise
Stationarity
Removal of Non-Stationarity
Time Series Models
Steps in Time Series Forecasting

Ensemble Learning

Ensemble Learning
Overview
Ensemble Learning Methods
Working of AdaBoost
AdaBoost Algorithm and Flowchart
Gradient Boosting
XGBoost
XGBoost Parameters
Model Selection
Common Splitting Strategies

Recommender Systems

Learning Objectives
Introduction
Purposes of Recommender Systems
Paradigms of Recommender Systems
Collaborative Filtering
Association Rule Mining
Association Rule Mining: Market Basket Analysis
Association Rule Generation: Apriori Algorithm
Apriori Algorithm Example
Apriori Algorithm: Rule Selection

Text Mining

Learning Objectives
Overview of Text Mining
Significance of Text Mining
Applications of Text Mining
Natural Language ToolKit Library
Text Extraction and Preprocessing: Tokenization
Text Extraction and Preprocessing: N-grams
Text Extraction and Preprocessing: Stop Word Removal
Text Extraction and Preprocessing: Stemming
Text Extraction and Preprocessing: Lemmatization
Text Extraction and Preprocessing: POS Tagging
Text Extraction and Preprocessing: Named Entity Recognition
NLP Process Workflow
Wiki Corpus
Structuring Sentences: Syntax
Rendering Syntax Trees
Structuring Sentences: Chunking and Chunk Parsing
NP and VP Chunk and Parser
Structuring Sentences: Chinking
Context-Free Grammar (CFG)

machine learning certification FAQ’s:

1.What is Machine Learning?

Machine learning is a technology which will help the professionals in implementing artificial intelligence. The technology will help the machines to communicate with others and there will be no human intervention. The course will help you in taking decisions regarding the growth of an organization.

2.Do the candidates require coding knowledge?

Yes! Candidates should have basic knowledge of coding done in R programming, Python, Java, etc.

3.Does the course can be done by beginners?

Yes! Beginners can do the course provided that they have some basic knowledge of machine learning.

4.How mock test sessions are arranged?

You will be given a test similar to the real exam. The test will include the types of questions which you will have to face in the real exam.

5.Do we also get the facility of mock interview?

Yes! We will provide the facility of mock interview.