supervised machine learning
Supervised machine learning is a subfield of artificial intelligence where algorithms learn patterns from labeled data to make predictions or decisions. In this approach, the model is trained on a dataset containing input-output pairs, with the aim of learning the mapping between inputs and outputs. During training, the algorithm adjusts its parameters iteratively to minimize the difference between its predictions and the true labels.
Program Aim:
To understand the basic concepts of supervised machine learning and the different types of supervised learning algorithms.
Intended For:
To understand the basic concepts of supervised machine learning and the different types of supervised learning algorithms.
Program Objectives
- A supervised machine learning using Python online workshop
- learning program that aims to teach participants the theory and practical applications
- supervised machine learning using the Python programming language
- Through the workshop, participants will learn about data preprocessing
- supervised learning algorithms, model evaluation, and selection.
Program Structure
MODULE 1
Introduction to Data Science, Artificial Intelligence and Machine Learning
A supervised machine learning using Python online workshop is a learning program that aims to teach participants the theory and practical applications of supervised machine learning using the Python programming language. Through the workshop, participants will learn about data preprocessing, supervised learning algorithms, model evaluation, and selection.
MODULE 2
Applications of ML
A supervised machine learning using Python online workshop is a learning program that aims to teach participants the theory and practical applications of supervised machine learning using the Python programming language. Through the workshop, participants will learn about data preprocessing, supervised learning algorithms, model evaluation, and selection.
MODULE 3
Types of ML Algorithms
A supervised machine learning using Python online workshop is a learning program that aims to teach participants the theory and practical applications of supervised machine learning using the Python programming language. Through the workshop, participants will learn about data preprocessing, supervised learning algorithms, model evaluation, and selection.
MODULE 4
Supervised ML
A supervised machine learning using Python online workshop is a learning program that aims to teach participants the theory and practical applications of supervised machine learning using the Python programming language. Through the workshop, participants will learn about data preprocessing, supervised learning algorithms, model evaluation, and selection.
MODULE 5
Linear Regression (Simple and Multiple)
A supervised machine learning using Python online workshop is a learning program that aims to teach participants the theory and practical applications of supervised machine learning using the Python programming language. Through the workshop, participants will learn about data preprocessing, supervised learning algorithms, model evaluation, and selection.
MODULE 6
Logistic Regression
A supervised machine learning using Python online workshop is a learning program that aims to teach participants the theory and practical applications of supervised machine learning using the Python programming language. Through the workshop, participants will learn about data preprocessing, supervised learning algorithms, model evaluation, and selection.
What You Will Get?
Program work is completed through online system under the guidance of program coordinator.
Various Job Opportunities
Machine Learning Engineer Data Scientist Data Analyst Business Intelligence Analyst Artificial Intelligence Developer Data Engineer Research Scientist Predictive Modeler Analytics Consultant Machine Learning Researcher
Steps For Enrollment
Step-1
Click ‘Apply Here’ and fill in your basic details (Name, Email, Contact, Image).
Step-2
Select Program, Session, Duration, and Fill Payment Details in the Form to Submit.
Step-3
Hurray! You Will Get Your Login Credential Within 48 Hrs.
Program Outcomes
- Introduction to Data Science, Artificial Intelligence and Machine Learning
- Applications of ML
- Types of ML Algorithms
- Supervised ML
- Linear Regression (Simple and Multiple)
- Logistic Regression
- Decision Tree
- Random Forest
- Naive Bayes Classifier
- Implementation of Supervised ML using Python
- Mini Project
