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Best
Machine learning

Course in Faridabad

 

  •  Machine Learning courses with certification can be a fantastic investment for anyone looking to upscale their career in the IT sector. 

 

  • Invest your valuable time wisely in the right place by acquiring your skills, learning from experienced industry experts, and obtaining career help and assistance.

 

  • This course will let you work on practical assignments and establish a great portfolio of work.. 

 

  • you can position yourself for success in the field.

Free Demo Class

student placed at

Join The Best Machine Leraning in Faridabad

Dreamer Infotech offers the best machine learning course in Faridabad, We offer an exceptional learning experience with expert faculty, Comprehensive Curriculum, Hands-on Projects, and 100% Placement Assistance. We also organize recruitment drives and connect you with leading companies seeking data science professionals.So Don’t miss out on the opportunity to upscale your skills with the best Machine Learning program.

Students who wish to Upskill themselves in the field of Data Science.

Corporate Employee who wish to develop or boost their career in Data Science.

Students who wish to Upskill themselves in the field of Data Science.

Corporate Employee who wish to develop or boost their career in Data Science.

Who can apply for the Data Scientist course?

Students who wish to Upskill themselves in the field of Data Science.

Students who wish to Upskill themselves in the field of Data Science.

Students who wish to Upskill themselves in the field of Data Science.

Students who wish to Upskill themselves in the field of Data Science.

How does the program work?

Level-up to become job ready.

TESTIMONIAL

ayush
Ml engineer

This institute provides the best machine Learning course in Faridabad. I learned a machine learning course from here and the course curriculum is best with expert trainers. They also provide practical training on live projects and job placements to the students.

Sagar
data scientist

I have studied a Machine Learning course in Faridabad at Dreamer Infotech. The training was excellent with good interaction. Teachers are enthusiastic and really aware of what they are explaining and teaching. They provide us depth knowledge about the topics and work on practical projects.

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Shallu
data engineer

Dreamer Infotech is the best place for a Machine Learning course in Faridabad with a well-structured curriculum, knowledgeable instructors, learning flexibility, community support, and cost-effectiveness. Based on these criteria, you can evaluate your experience with Dreamer Infotech’s courses.

Abhishek
business analyst

I recently completed the Machine Learning course offered by Dreamer Infotech and I must say it has been an absolute game-changer for my career as a data scientist. If you’re looking to delve into the world of machine learning or enhance your existing skills, this course is an unparalleled choice.

Kunal
Data Scientist

Dreamer Infotech Machine Learning course is an absolute gem for me that helps me to unlock valuable insights from their data in machine learning. The course content was extensive and covered a wide range of machine-learning algorithms and techniques.

vandana
research Scientist

The Machine Learning course in Faridabad offered by Dreamer Infotech is an absolute game changer for anyone interested in this field. The trainers provide excellent training to the students. I recently completed the course, and I am amazed at how comprehensive and engaging it was.

Skills you will master

Probability

Probability

Data Modelling

Data Modelling

Programming learning

Programming learning

git

git

nlp

nlp

sql

sql

data visualization

data visualization

AI

AI

Python

Python

Statistics

Statistics

What Roles Can A Machine Learning Engineer Play?

Machine Learning Engineer

ML engineer has strong programming skills and tends to focus on data modeling and applying ML algorithms.

Data Scientist

They use ML techniques to analyze and interpret data sets, derive insights, and make data-driven decisions.

Data Analyst

They use ML algorithms to analyze, identify pattern, and generate visualization for decision making purposes.

Research Scientist

They work on research, developing new algorithms, improving model, and pushing the boundary of ML technology.

Data Engineer

work on data pipeline development, data integration, and implementing efficient storage for ML applications.

Business Analyst

Analyze market demand forecasting, customer behavior, business performance, fraud detection, and other tasks.

Building skills transforming career

Curriculum

INTRODUCTION
  • Getting Started
  • Why Python?
  • Installing Python
  • IDLE
  • Running First Python programs
PYTHON BASICS
  • Keywords and Identifiers
  • Python Variables
  • Statements & Comments
  • Basic data types (numbers, strings,
    booleans
  • Python Type Conversion
  • Python Operators
  • Assignment of Above Topics
PYTHON FLOW CONTROL

Python if…else

  • Simple if statement
  • If else statement
  • Elif statement
  • Nested if statement
  • Python for Loop
  • Python while Loop
  • Python break and continue
  • Python Pass
PYTHON COLLECTION
  • Python List
  • Python Tuple
  • Python String
  • Python Set
  • Python Dictionary
PYTHON FUNCTIONS
  • Python Functions
  • Built-in
  • User-defined
  • Scope of variable
  • Function Argument
  • Python Recursion
  • Anonymous Function(Lambda)
  • Python Global Keyword
PYTHON MODULES
  • Modules
  • User Defined Modules
  • Built-in Modules
  • OS Module
  • Math Module
  • Random Module
  • Date time Module
FILE AND EXCEPTION HANDLING
  • Python File Handling
  • Writing data to file
  • Reading data to file
  • Python Exception
  • Python Exception Handling
  • Python User-defined Exception
PYTHON OBJECT & CLASS
  • Python OOP
  • Python Class
  • Python Inheritance
  • Multiple Inheritance
  • Operator Overloading
  • Polymorphism
  • Encapsulation
MYSQL INTRODUCTION
  • What is MYSQL
  • MySQL History
  • MySQL Features
  • MySQL Data Types
  • Install MySQL
MYSQL DATABASE
  • Create Database
  • Select Database
  • Drop Database
MYSQL TABLE
  • CREATE Table
  • ALTER Table
  • TRUNCATE Table
  • DROP Table
  • MySQL Views
MYSQL QUERIES
  • MySQL Queries
  • INSERT Record
  • UPDATE Record
  • DELETE Record
  • SELECT Record
MYSQL CLAUSES
  • MySQL WHERE
  • MySQL DISTINCT
  • MySQL FROM
  • MySQL ORDER BY
  • MySQL GROUP BY
  • MySQL HAVING
MYSQL CONDITIONS
  • MySQL AND
  • MySQL OR
  • MySQL AND OR
  • MySQL LIKE
  • MySQL IN
  • MySQL NOT
  • MySQL IS NULL
  • MySQL IS NOT NULL
  • MySQL BETWEEN

Register now

Projects

Projects will be a part of your Certification in Data Science & Artificial Intelligence to consolidate your learning. It will ensure that you have real-world experience in Data Science and AI.

  • Practice 20+ Essential Tools
  • Designed by Industry Experts
  • Get Real-working Experience
  • Practice 20+ Essential Tools
  • Designed by Industry Experts
  • Get Real-working Experience

Here are some examples of projects

Forecast sales

These projects of machine learning provided businesses the future sales predictions by analysing and interpreting the historical sales data of the business.

 

Predict Stock Prices

Stock market is continuously fluctuating and its volatility to predicts the movement of the price the ML comes in place. ML predicts the stock movement analysing the historical data.

 

Recommendation System

Develop a recommendation system that can suggest personalized recommendations to users based on their preferences and historical data. This can be applied in various domains, such as e-commerce, streaming platforms, or news articles.

NLP Chatbot

Create a chatbot that can understand and respond to user queries using natural language processing techniques. The chatbot can be trained on a dataset of conversations to provide relevant and accurate responses.

Sentiment Analysis

Develop a sentiment analysis model that can classify text data (such as customer reviews, social media posts, or news articles) into positive, negative, or neutral sentiments. This can be useful for businesses to gauge public opinion and customer feedback.

Predict house Prices

Our learner will analyse the previous house price data and predicting the future housing price using machine learning algorithms and logics.

Why Choose
Dreamer ?

Choosing Dreamer for your Machine Learning Course is a decision that grooms your career in the field of data science. 

  • Dreamer offers a comprehensive and up-to-date curriculum that covers all aspects of data science. 
  • We provide support to our students during the course as well as after the completion of the course.
  • The institute provides a conducive environment for students to work on real-world projects and gain valuable experience.

here are our hiring partner

Frequently asked question

Is it the best institute for Machine Learning in Faridabad?

 Yes, Our institute is well-recognized as one of the best  Machine Learning institutes. Our comprehensive curriculum, Industry experienced faculty, and hands-on projects make us the preferred choice among students and professional seekers.

What is the Machine Learning course duration?

 The duration of a  Machine Learning course can vary, but it typically ranges from 4 to 6 Months.

How do you train for a Machine Learning program?

We train our students for  Machine Learning through a comprehensive curriculum that includes practical assignments and assignments based on industry case studies. We are providing real-world experience and skills to our students.

What jobs after Machine Learning?

After Machine Learning you can become Machine Learning Researcher, AI Engineer, Data Mining and analysis, Data Scientist, Machine Learning Engineer, and so on. 

Does the job assistance program guarantee me a Job?

 No, It’s not a job guarantee program, we train you for interviews and then conduct interviews after the completion of the course.

What kind of projects are included as part of the training?

We offer practical and project-based training which makes us different from other institutions.

Do I get the Machine Learning course certificate?

Yes, After completion of the course the student will be rewarded with a certificate that is valid all over the world.

What is the future salary in Machine Learning?

Wel! It depends on the experience, but the estimated salary of a web developer ranges between 7lakh to 10lakh.

Our Popular Courses

AGGREGATE FUNCTIONS
  • MySQL count()
  • MySQL sum()
  • MySQL avg()
  • MySQL min()
  • MySQL max()
MYSQL JOIN

MySQL JOIN

DATA ANALYTICS

DATA PRE-PROCESSING/WRANGLING

NUMPY
  • Fundamentals of NumPy
  • Types of arrays in NumPy
        Ones
        Empty
        Zeros
        Create Random Array
  • Reshaping of the array
         1-D to 2-D array
         2-D to 3-D array
         3-D to 1-D array
  • Arithmetic operations on  Array
         Addition
         Subtraction
         Multiplication
         Exponential
  • Slicing of the array
        How to slice array
        Change in properties during slicing
  • Transpose of a matrix
        How to take transpose
        Rows and columns  while taking transpose
  • Dot product of the matrix
       How to take Dot product of the Matrix
PANDAS
  • Data Frame
         What is Pandas Dataframe
         Different ways to create a Dataframe
        Read data from different sources and convert them to the Dataframe.
  • Pandas Series
        What is panda Series
        How to create a Panda Series.
  • Data inspection
         Using Count, info, head, tail.
         Using Shape, describe, unique, value etc
  • Data Slicing
        Data Slicing loc and iloc
  • Dataframe operations
         How to create a column or row
        How to delete a column or row
    Operations on Rows and Columns
  • Arithmetic operations on rows and
    columns
  • Handle Duplicate value and Null value
  • Handle outlier data
  • Group by Operations
  • Data Reshaping
  • Merging, Joining ,concatenation and
    append
  • Time series
MATPLOTLIB
  • Matplotlib for 3-D visualization
  • Bar, Pie, line, histogram
  • Countplot, boxplot, heatmap
SCIKIT-LEARN
  • Scikit models
  • Preprocessing using Scikit learn
  • Classification using Scikit-learn
  • Clustering using Scikit-learn
  • Regression using Scikit-learn
STATISTICS
  • Scalar and vector
  • Introduction to linear algebra
  • Measure of central tendency mean
  • Measure of central tendency mode
  • Measure of central tendency mode
  • Variance
  • Standard deviation
    Measure of shape skewness
    Measure of shape kurtosis
    Covariance and correlation
PROBABILITY
  • Importance of probability
  • Discrete and continuous variable
  • Bayes Theorem
  • Central Limit theorem
  • Normal Distribution
  • Bernoulli distribution
  • Uniform Distribution
HYPOTHESIS TESTING
  • Hypothesis testing and mechanism
  • Confidence interval
  • Margin of Errors
  • Confidence levels
  • T test and P values using python
  • Z test and P values using python
  • Chi Squared Distribution using python
LINEAR REGRESSION
  • Types of variables
  • Types of Linear variables
  • Mathematics Behind it
  • Implementation of the model
  • Testing and Check
  • Performance of the model
  • Assumptions of the Linear Regression
POLYNOMIAL REGRESSION
  • Need of polynomial Regression
  • Types of Variables in the Polynomial regression
  • Mathematics behind it
  • Implementation of the model
  • Testing and check performance of the
    model
MULTIPLE REGRESSION
  • Need of multiple Regression
  • Mathematics behind it
  • Implementation of the model
  • Testing and check performance of the model
RANDOM FOREST ALGORITHM
  • Why to use random Forest
  • Assumptions in random Forest
  • Working and Implementation of the Model
  • Data Pre-processing in Random Forest
SUPPORT VECTOR MACHINES
  • Types of SVM
  • Implementation of the SVM
  • Creating confusion matrix
NAIVE BAYES CLASSIFIER ALGORITHM
  • Bayes Theoram
  • Implementation of Naïve Bayes
    Classifier
  • Type of Naïve Bayes Model

Need Consultation?

Need Consultation?

JAVASCRIPT EVENTS

Event listeners and handlers
Mouse events
Keyboard events

DOCUMENT OBJECT MODEL (DOM)

Accessing and manipulating HTML elements
DOM navigation and manipulation
Creating and removing HTML elements

1. INTRODUCTION TO REACT.JS

What is React.js?
History and evolution of React.js
React.js components and their role in
building web applications
Setting up the development environment

JSX

Introduction to JSX
Basic syntax and rules of JSX
Embedding expressions in JSX
Conditional rendering in JSX
Working with lists in JSX

REACT COMPONENTS

Understanding components
Creating class components
Creating functional components
Props and state in React components
Lifecycle methods in React components

REACT EVENTS

Handling events in React
Binding event handlers in React
Passing data to event handlers in React
Conditional rendering based on events in
React

REACT FORMS

Creating forms in React
Handling form submission in React
Controlled and uncontrolled components
in React

REACT ROUTING

Introduction to React Router
Setting up routing in React
Creating routes in React

INTRODUCTION TO MONGODB

What is MongoDB?
Advantages of MongoDB over RDBMS
MongoDB data model and architecture
Setting up the development environment

CRUD OPERATIONS

Creating and inserting documents in
MongoDB
Reading documents from MongoDB
Updating documents in MongoDB
Deleting documents from MongoDB

QUERYING MONGODB

Querying MongoDB using find() method
Querying MongoDB using comparison and
logical operators
Querying MongoDB using regular
expressions
Querying MongoDB using aggregation
framework

INTRODUCTION TO NODE.JS

What is Node.js?
Advantages of Node.js over other serverside technologies
Node.js architecture and event-driven
programming model
Setting up the development environment

NODE.JS MODULES

Introduction to Node.js modules
Creating and using built-in modules
Creating and using custom modules
Working with NPM (Node Package
Manager)

NODE.JS HTTP

Creating HTTP server in Node.js
Understanding HTTP methods and status
codes
Handling HTTP requests and responses
Serving static files in Node.js

EXPRESS.JS FRAMEWORK

Introduction to Express.js framework
Creating and configuring Express.js
application
Handling HTTP requests and responses in
Express.js
Implementing middleware in Express.js

NODE.JS DATABASE CONNECTIVITY

Introduction to database connectivity in
Node.js
Connecting to MongoDB database in
Node.js
Performing CRUD operations in Node.js
using MongoDB
Using Mongoose ORM with MongoDB in
Node.js

NODE.JS SECURITY

Introduction to security in Node.js
Understanding and implementing
authentication and authorization in
Node.js
Implementing HTTPS in Node.js
Preventing common security vulnerabilities
in Node.js

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