Machine Learning Course In Jaipur

The world is gradually evolving to become technology-reliant phone technology expected to revolutionize. The Future of machine learning is from travel jobs to sophisticated services. Everything today is using machine learning. Dreamer Infotech provides you the best training machine learning course in Jaipur. The advantage we have seen is just because of two things. Over the past many years ago the computational power has dramatically increased. For example, Google Translate is a machine translation. Dreamer Infotech is the best training center for Machine Learning Course in Jaipur. Dreamer Infotech experts can teach you image recognition, speech, voice recognition. The advantages of choosing machine learning will make a big difference in many fields.

Machine Learning Course in Jaipur

Duration

96 hr

Level

Advanced

Placement

till you get placed

Hiring Partner

50+

Topics

145

Machine Learning Course in Jaipur

Duration

96 hr

Level

Advanced

Placement

till you get placed

Hiring Partner

50+

Topics

145

Why Choose Us

  • All the faculty and trainer are highly experienced they have good training skills as well as developing skills in Machine Learning.
  • Dreamer Infotech offers practical and project-based training which make us different from another institution.
  • We provide support to our students during the course as well as after the completion of the course.

  • We provide job assistance to our students in various domestic and MNC companies.

  • We provide all the software and study material that is required for this course.
  • We offer a well-equipped Wi-Fi connectivity lab for the trainees. They are completely free to access the lab illimitably.
  • An ease of accessibility as the fastest metro station conveyance is all-available nearby the Dreamer Infotech.
  • Our Training Fee is affordable for anyone.

Syllabus of Machine Learning Course

Syllabus of Machine Learning Course

Module 1

Python Introduction
  • What is Python?
  • Python History
  • How Python is different?
  • How to install Python?
  • Execute Python program
  • Writing of First Program
Python Basic
  • What is Python identifiers & keywords
  • What is Python indentation
  • What is Python statements
  • What is comments in python
  • What is command-line arguments
Variables and data types
  • Introduction
  • Variables
  • Data types
  • Numbers
  • Strings
  • Lists, tuples &
  • Dictionary
  • Exercise
Operator in Python
  • Arithmetic Operator
  • Relational/Comparison Operator
  • Logical Operator
  • Assignment Operator
  • Bitwise Operator
  • Identify Operator
  • Membership Operator
  • Exercise
Conditional Statement
  • If Statement
  • If-else Statement
  • elif statement
  • Nested if-else
Loops & Jumping Statement
  • For loop
  • While loop
  • Break and Continue
  • Nested loop
  • Pass Statement
User define Function
  • Introduction
  • Types of Function
  • Recursion
  • Lambda Function
Exception Handling
  • Types of Error
  • Try, except, else,
  • finally statement
  • user define exception
  • Exercise
Modules and Packages
  • Importing a Module
  • Standard Module – OS
  • Standard Module – Sys
  • Standard Module – Math
  • Standard Module – Random Standard
  • Module – Date Time
  • User Define Module
  • Package
Exception Handling
  • Types of Error
  • Try, except, else,
  • finally statement
  • user define exception
  • Exercise
Files and Directories
  • Introduction Files and Directories
  • Reading Data from a File
  • Writing Data to a File
  • Methods
  • Additional File
  • Working with Directories
  • Working with files
  • The pickle Modules
Class and Object
  • Introduction of Class and Object
  • Creating a Class
  • Instance method
  • Inheritance
  • Method
  • Overriding
  • Data hiding and
  • Encapsulation
Regular Expressions
  • Introduction to Regular Expressions
  • What is Match function?
  • What is Search function?
  • What is Grouping?
  • Matching at Beginning or End
  • Flags
  • Match Objects
Socket programming
  • What are sockets
  • Creating sockets
  • Connecting client server
  • Client-server chatting
  • program
    Server-client
  • socket methods
My SQL
  • Create, Drop database
  • Create table, Drop table,
  • Rename table
  • Insert, Update and Delete query
  • Alter query
  • Sorting and filter
  • Conditional operator -and, or, not
  • Group by, Like, Having, In, Exist
  • Primary key,
  • Foreign key, Default, Auto increment, Not null, Default
  • Mathematical function and sum, max, min, avg, count

Module 2

Statistics
  • Mean, Median Mode
  • Standard Deviation
  • Central tendency
  • Correlation and Covariance
Probability
  • Introduction to Probability
  • Random Variables
  • Describing Distributions
  • Relationships Between Probabilities
  • Distributions in Machine Learning
  • Information Theory
Hypothesis Testing
  • Introduction to Hypothesis Testing
  • T tests T
  • T tests T
  • Chi Squared Tests
Data Preprocessing
  • Difference between Dataframe & Series
  • Read data from different source
  • Data Slicing using head, tail, iloc, loc
  • Data inspection using info, describe, shape, unique, value, counts, etc.
  • Create, delete, rename, column or row.
  • filter and sorting on Data frame
  • String Operation
  • Arithematic Operation
  • Handle Outlair Data
  • Handle Duplicate data
  • Handle NA Values
  • Group by Operation
  • Data reshaping
  • read text file
  • Merging, joining, concatination, append
  •  Time series data
 
Data Visualization
  • Bar, line, histogram, scatter, pie, graph
  • Countplot, boxplot, heatmap
  • Joints plots or regression plots
Machine Learning - Introduction
  • Introduction of Machine Learning
  • Difference between Supervised & Unsupervised learning
  • How to Balance an unbalanced dataset.
  • Encoding Categorical data
  • Splitting into dataset training and testing
  • Feature Scalling
  • Difference between Regression, Classification & Clustring
Machine Learning - Regression
  • Linear Regression
  • Polynomial Regression
  • Multiple Regression
  • Decision Tree
  • Regression Ridge and Lasso or Exponential
Machine Learning - Classification
  • Logistic Regression
  • Naive Bayes theorem
  • Decision tree
  • Random Forest
  • Support Vector
Machine Learning - Clustering
  • K-means and Clustering
  • Hierarchical Clustering
Introduction to Deep Learning

Trainer experience of Machine Learning Training in Jaipur

Trainer experience of Machine Learning Training in Jaipur

Our Trainers provide complete freedom and source to the students, to explore the subject and learn based on real-time projects. Our faculties help the students in completing their projects and they prepare them for interview questions. Students are free to ask any questions at any time to our faculty. Our trainers have More than 5+ Years Of Experience.  They Trained more than 1000+ students in a year.  They have deep knowledge of theoretical & as well as industry-based.  They have Certified Professionals faculties with higher qualifications. They are Well connected with Hiring HRs in MNCs.  Their Expert level in Machine learning training S Knowledge and f updates on real-time industry-based applications. The instructor has Experienced in multiple real-time projects in IT Industries. Our Trainers are working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, etc.

Frequently Asked Questions

Frequently Asked Questions

What is Machine Learning?

Machine learning is the part of Artificial intelligence that provides the ability to the system that can learn things automatically and And if needed, you can also improve yourself. Machine learning can clearly teach programs to learn automatically without a system. The machine is made so efficient to work in it that the machine can complete the work itself from the next time on the basis of its previous experience. Machine learning is how computers recognize patterns and make decisions Without being explicitly programmed. With machine learning instead of programming of computers step by step. Machine learning can take any kind of data like Images, video, audio, or text and begin to recognize the pattern in that data.

Career in Machine Learning

Machine learning is one of the most recent and exciting technologies. It probably uses it dozens of times every day without even knowing it. There are a large number of jobs in the market. Probably with the emergence of Machine learning and artificial intelligence this number is just going to get higher.

Salary in Machine Learing

The job opening salary of a machine learning engineer in India is around 5 lakhs per annum. That is a very good average salary for any particular profession and this is just for entry-level Machine learning engineers. If you become an experienced machine learning engineer your salary is going to go through the roof. If you are a good enough expert in machine learning you probably get around 7 to 10 lakhs per annum. There is a great opportunity for people who are trying to go into machine learning.

Skills to become a Machine Learning Engineer

If you are applying for a job anywhere the skill you have of math as in *machine learning training* many of the machine learning algorithms have your early mathematical formula so by the *best machine learning training* you have a good understanding of maths and how the algorithm works. Dreamer infotech helps you to improve your skills and take you far ahead.

Call Now Button
×

Powered by WhatsApp Chat

×