Certified Online/offline Training

Machine Learning

Machine learning is a field of artificial intelligence that focuses on developing algorithms and models that allow computers to learn from data. The goal is for machines to make correct predictions or decisions without being completely programmed.

English,हिन्दी

5.0

500+

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9 month

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	Duration		9 month
	Fees	~~MRP70000~~50.00% off	RS35000

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::Highlight Education::

Examine online

At your own agenda

Cell friendly

No computer? No hassle

Beginner pleasant

No prior expertise required

Placement help

To construct your profession

certificates of education

From Ndmeaa Trainings

Read in english or hindi

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Doubt Clearing

Via Q&A discussion board

Downloadable content

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Several week period

Machine Learning Course

Machine learning courses emerged as a significant force, guiding how we view and interact with data while providing complete learning experiences modified to the needs of both beginners and experienced professionals.

Benefits of Taking a Machine Learning Course

Enrolling in a machine learning course can provide several benefits, such as professional advancement, skill development, and personal fulfillment. Machine learning course is a significant step towards acquiring the information and skills required to excel in today's data-driven world. At NDMEAA, we are committed to providing you with the knowledge and resources you need to succeed in this ever-changing world.

::Machine Learning Certificate::

50,000+ businesses use Ndmeaa Technology for hiring every 12 months. So certificates from Ndmeaa Technology are diagnosed everywhere. . .

Key Components of Machine Learning course

Data Collection:

A strong dataset is essential for any machine learning project to be successful. We emphasize the necessity of collecting diverse and representative data to guarantee that your models are effective.

Algorithms:

The heart of machine learning lies in the algorithms that process and analyze data. Our specialists explore the complexities of diverse algorithms, offering you valuable perspectives on their advantages and uses.

Model Training:

Getting accurate predictions from your models requires that you understand how to train them. We help you along the way by providing helpful tips and industry best practices for optimizing your machine-learning models.

::How will your Training Make::

Learn Concepts

Under go schooling videos to research standards

Take a Look at Yourself

Check your understanding thru quizzes & module assessments at ordinary periods

Palms-on Practice

Work on assignments and tasks. Use our in-browser IDE for coding practice

1:1 Doubt Solving

Get your doubts solved by using specialists via Q&A forum inside 24 hours

Take Final Examination

Whole your schooling with the aid of taking the final exam

Get Licensed

Get certified in development upon a hit final touch of training

:TRAINING SYLLABUS:

::SEE COURSE TOPICS AND THEIR CHAPTERS::

Introduction to Machine Learning
Introduction to Python
Data
Data Exploration and Pre-processing
Data Exploration and Pre-processing
Introduction to Dimensionality Reduction
Logistic Regression
Decision Tree
Ensemble Models
Clustering (Unsupervised Learning)

What is Machine Learning
How Machine Learning Works
Types of Machine Learning – Supervised and Unsupervised
Types of Data
Graphical and Analytical Representation of Data
Limitations of Traditional Data Analysis
Introduction to Python and Installing Jupyter Notebook
Basic Libraries in Python (Pandas, Numpy, Matplotlib)
Understanding Basics of Python Programming (Conditional- Iterative Statements and Function)Basic Data Exploration
Advanced Functions for Data Manipulation
Context Setting and Problem Statement
Data exploration - Target Variable
Data Exploration - Independent Numerical Variables
Data Exploration - Categorical Variables
Splitting of Data
Feature Scaling of Data
Building Your First Predictive Model (Regression) and Evaluate Performance
Introduction to Linear Regression
Understanding Gradient Descent
Assumptions of Linear Regression
Implementing Linear Regression
Feature Engineering
Common Dimensionality Reduction Techniques
Advanced Dimensionality Reduction Techniques
Understanding the Basics of Logistic Regression
Evaluation Metrics
Implementing Logistic Regression
Introduction to Decision Tree
Logic Behind Decision Tree
Implementing Decision Tree
Improving Model Performance by
Pruning/Hyperparameters Tuning
Basics of Ensemble Techniques
Random Forest
Implementation of Bagging and Random Forest
Clustering
Understanding K-means
Implementation of K-means
Clustering
Understanding K-means
Implementation of K-means

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Machine Learning

Machine learning is a field of artificial intelligence that focuses on developing algorithms and models that allow computers to learn from data. The goal is for machines to make correct predictions or decisions without being completely programmed.

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::Highlight Education::

Examine online

Cell friendly

Beginner pleasant

Placement help

certificates of education

Read in english or hindi

Doubt Clearing

Downloadable content

Several week period

Machine Learning Course

Benefits of Taking a Machine Learning Course

::Machine Learning Certificate::

Key Components of Machine Learning course

Data Collection:

Algorithms:

Model Training:

::How will your Training Make::

Learn Concepts

Take a Look at Yourself

Palms-on Practice

1:1 Doubt Solving

Take Final Examination

Get Licensed

:TRAINING SYLLABUS:

::SEE COURSE TOPICS AND THEIR CHAPTERS::

TOPICS NAME

Introduction to Machine Learning

Introduction to Python

Data

Data Exploration and Pre-processing

Data Exploration and Pre-processing

Introduction to Dimensionality Reduction

Logistic Regression

Decision Tree

Ensemble Models

Clustering (Unsupervised Learning)

CHAPTERS NAME

::YOUR TEACHERS::