Our Machine Learning Course empowers you to create algorithms in Python and R for accurate predictions, supported by 20+ hands-on projects. You'll master techniques like linear, polynomial, and multivariate regression to solve real-life problems. The course is available in both online and offline formats, delivered by professional ML trainers. You'll gain practical experience through interactive sessions, collaborative projects, and exercises. Key features include a comprehensive curriculum, expert instructors, and flexible learning options. By the end, you'll receive a certification recognized by leading companies, positioning you as a top-notch Machine Learning engineer. Enroll now to start your journey!

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Machine Learning Course Overview

This Comprehensive Machine Learning Course will make you an expert in Python libraries Such as Numpy, Pandas, SciPy,  Scikit-learn and Matplotlib for developing Machine Learning algorithms with efficient manners.  Learn Linear Regression, Logistic Regression, Decision Trees, Random forest,  Anova & Sentimental Analysis  from the Scratch with real-time data with our Machine Learning Training.

We also Provide Tableau and SQL Classes for understanding Data Visualization  Techniques from the Basic to advanced level with live Project Assignments from this Machine Learning Training Courses.

Training Options for Machine Learning Course

We are offering this Machine Learning Training with Live Instructor led Sessions and another Option is Self-Paced Recorded Videos on Machine Learning Concepts.

You can also Choose a Particular Machine Learning Trainer for your 1-1 Session which Provides flex timing to attend the Classes with Answered interview Questions, Resume Preparation and guidance.

Advantages

According to the latest Survey the Machine Learning Market is expected to reach around USD$10 Billion. Medicine, Research and Automobile Companies are adopting Machine learning for solving their Real life Business Problems.  Machine Learning Engineers are getting High Salary around $200000 in Top MNC like Amazon, Flipkart, Google, JP Morgan, Facebook and Microsoft.

Why Machine Learning Course

Machine Learning is a part of AI which will take decisions from the Previous experience in real-time data to improve the Business revenue.  Amazon.com, Google.com, Facebook.com and many top websites are using Python Machine learning to predict their user’s interest and activities. Even in the Medical industry they are using ML Concepts for fighting Coronavirus and also Tesla using supervised learning Techniques to build self-driving cars.  Learn the latest technology Machine learning to Build Algorithms for your Business needs using R and Python Languages.

Eligibility

Yuva Sakthi Academy’ Machine Learning Course is Suitable for Business Intelligence Associate, Software developer, Big Data Analyst, Project Managers, and all who wish to become data Scientist and Machine Learning Engineer.  Our ML Beginner Course is Suitable for Fresher’s with basic math, Statistics and excel knowledge at College level.

We will cover the entire Machine Learning Prerequisites topics Such as Python Programming, Statistics, Math and R Programming with updated Syllabus and Course Materials for better understanding.

Welcome to Machine Learning Course! Machine Learning Courses provides you the knowledge to enable a computer to learn through experience without requiring explicit programming to perform certain task. You will learn the best practices in machine learning, their applications in various areas and gain the skills of machine learning engineer.

What are the objectives of our Machine Learning Training?

The objective of Machine Learning Training is to acquaint you with Machine Learning algorithms and their applications. Various elements of learning theory are explained. Illustrations are made using software libraries and data sets with explanation of various principles like basic probability notions, Bayesian inference, kernel methods, logistic regression etc.

Why should you go for the Machine Learning Training?

Machine Learning Training is designed to assist you in Job Support and provide Placement Training. You will understand applications of Machine Learning with Hands on Training and project support. You will get to work on real time projects with Live Instructors. Machine Learning certificate will be an asset to your career.

Who should go for the Machine Learning Training?

Every tech professional with basic problem solving and programming skills, keen to have a good career in the future should go for Machine Learning Training. Top MNCs are always on the lookout for Machine Learning engineers. It is the architect of new business intelligence and hot IT skill of near future.

How will Machine Learning Training help your Career?

Our Machine Learning Courses help you re-skill yourself with Live Classroom Training. Machine Learning engineers’ market size will grow to 8.81 billion by 2022. Whether you are at the beginning of your career or already in a specific industry, our Machine Learning Training increases your chances to land highly sought-after roles.

What are the prerequisites for Machine Learning Training?

This Machine Learning Training doesn’t require you to have any prior knowledge in the field of Machine Learning. If you are familiar with basics of programming, have experience with coding and have problem solving skills and are keen to learn Machine Learning, you should go for Machine Learning Course.

What Skills will you learn in Machine Learning Training?

This Machine Learning Training doesn’t require you to have any prior knowledge in the field of Machine Learning. If you are familiar with basics of programming, have experience with coding and have problem solving skills and are keen to learn Machine Learning, you should go for Machine Learning Course.

What Skills will you learn in Machine Learning Training?

Our Machine Learning Training guides you through the basics of Machine Learning, helps you understand its algorithms and concepts like supervised/unsupervised learning, deep learning, neural networks, dimensionality reduction etc. By the end of Machine Learning Courses you will be able to apply these concepts and build your own Machine Learning system.

Do you need programming for Machine Learning career?

Knowing basics of programming is enough. Many applications of Machine Learning rely less on the production of code viz. creation of information extraction model. Expert programmers can utilize programming skills in programming side of Machine Learning. Machine Learning Training will equip you with necessary skills for Machine Learning career.

Upcoming Training Batches

Yuva Sakthi Academy provides flexible timings to all our students. Here is the Machine Learning Training Course Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

Time Days Batch Type Duration (Per Session)
8:00AM - 12:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs
12:00PM - 5:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs
5:00PM - 9:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs

Syllabus of Machine Learning Course

Module 1- Introduction to Data Analytics

Objectives:
  • This module introduces you to some of the important keywords in R like Business Intelligence, Business Analytics, Data, and Information.
  • You can also learn how R can play an important role in solving complex analytical problems.
  • This module tells you what is R and how it is used by giants like Google, Facebook, etc.
  • Also, you will learn the use of ‘R’ in the industry, this module also helps you compare R with other software in analytics, install R and its packages.
Topics
  • Business Analytics, Data, Information
  • Understanding Business Analytics and R
  • Compare R with other software in analytics
  • Install R
  • Perform basic operations in R using the command line
  • Learn the use of IDE R Studio
  • Use the ‘R help’ feature in R

Module 2- Introduction to R programming

Objectives:
  • This module starts from the basics of R programming like datatypes and functions.
  • In this module, we present a scenario and let you think about the options to resolve it, such as which datatype should one to store the variable or which R function that can help you in this scenario.
  • You will also learn how to apply the ‘join’ function in SQL.
Topics
  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors

Module 3- Data Manipulation in R

Objectives:
  • In this module, we start with a sample of a dirty data set and perform Data Cleaning on it, resulting in a data set, which is ready for any analysis.
  • Thus using and exploring the popular functions required to clean data in R.
Topics
  • Data sorting
  • Find and remove duplicates record
  • Cleaning data
  • Recoding data
  • Merging data
  • Slicing of Data
  • Merging Data
  • Apply functions

Module 4- Data Import techniques in R

Objectives:
  • This module tells you about the versatility and robustness of R which can take-up data in a variety of formats, be it from a CSV file to the data scraped from a website.
  • This module teaches you various data importing techniques in R.
Topics
  • Reading Data
  • Writing Data
  • Basic SQL queries in R
  • Web Scraping

Module 5- Exploratory data Analysis

Objectives:
  • In this module, you will learn that exploratory data analysis is an important step in the analysis.
  • EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis. You will also learn about the various tasks involved in a typical EDA process.
Topics
  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing Graphs

Module 6- Basics of Statistics & Linear & Logistic Regression

Objectives:

  • This module touches the base of Descriptive and Inferential Statistics and Probabilities & ‘Regression Techniques’.
  • Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.
Topics
  • Basics of Statistics
  • Inferential statistics
  • Probability
  • Hypothesis
  • Standard deviation
  • Outliers
  • Correlation
  • Linear & Logistic Regression

Module 7- Data Mining: Clustering techniques, Regression & Classification

Objectives:
  • Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.
  • The two Machine Learning types are Supervised Learning and Unsupervised Learning and the difference between the two types.
  • We will also discuss the process involved in ‘K-means Clustering’, the various statistical measures you need to know to implement it in this module.
Topics
  • Introduction to Data Mining
  • Understanding Machine Learning
  • Supervised and Unsupervised Machine Learning Algorithms
  • K- means clustering

Module 8- Anova & Sentiment Analysis

Objectives:
  • This module tells you about the Analysis of Variance (Anova) Technique.
  • The algorithm and various aspects of Anova have been discussed in this module
  • Additionally, this module also deals with Sentiment Analysis and how we can fetch, extract and my live data from Twitter to find out the sentiment of the tweets.
Topics
  • Anova
  • Sentiment Analysis

Module 9- Data Mining: Decision Trees and Random Forest

Objectives:
  • This module covers the concepts of Decision Trees and Random Forest.
  • The algorithm of Random Forests is discussed in a step-wise approach and explained with real-life examples.
Topics
  • Decision Tree
  • Concepts of Random Forest
  • Working of Random Forest
  • Features of Random Forest

Module 10- Project work

  • 2 Real-time projects

Trainer Profile of Machine Learning Training Course

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.

  • Trained more than 2000+ students in a year.
  • Strong Theoretical & Practical Knowledge.
  • Certified Professionals with High Grade.
  • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • Trainers have Experienced on multiple real-time projects in their Industries.
  • Our Trainers are working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc

Machine Learning Training Exams

Yuva Sakthi Academy is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our at Yuva Sakthi Academy is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this in leading MNC’s of the world. The is only provided after successful completion of our training and practical based projects.

Key Features of Our Training Institute

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One on One Teaching

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Flexible Timing

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Fully Practical Oriented Classes

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Class Room Training

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Online Training

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Corporate Training

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100 % Placement

Projects in Machine Learning Training Course

Sales Pipeline Dashboard

Build a dashboard to get a clearer view of your sales pipeline and know where your leads are coming from, so that you can double down on your efforts there to meet your targets.

Sales Growth Dashboard

Build a dashboard to measure your sales team’s performance and how much revenue can be raised within a specific time frame.

Healthcare Data Dashboard

The Machine Learning Training Healthcare Data dashboard for hospital managers to manage and identify patients’ risk from one screen.

Training Courses Reviews

I highly recommend the computer training institute for anyone who wants to improve their computer skills. The instructors are knowledgeable and patient, and they create a comfortable and supportive learning environment. The curriculum is well-structured and covers a range of topics, from basic computer operations to advanced programming languages.

T

TOM DINESH

*Right place to learn new technologies *Self motivated staffs ... *This institution is a good start for emerging youngster who has a passion in their life I have trained for core Java. It was very useful to learn java from basic level. *The trainers are knowledgeable and real time worked employees. I like this institutions be hope with us. You are really reached your goals....

H

Harish Arjunan

One of the best academy to easy learn tally prime from kalpana mam one to one teaching is very excellent ..,coaching is very good and motivational person are here ...great service and excellent teach and friendly staff, good environment and comfortable to learn easily Thank you for wonderfull guide mam. ....

P

Priya Mohan

Frequently Asked Questions

What is the Machine Learning course?

The Machine Learning course is designed to provide you with the knowledge and skills required to build and deploy machine learning models. The course covers key concepts such as supervised and unsupervised learning, neural networks, deep learning, and model evaluation techniques.

Why should I enroll in a Machine Learning course?

Enrolling in a Machine Learning course can significantly enhance your career prospects in the tech industry. Machine Learning skills are highly sought after in various sectors, including finance, healthcare, and technology. This course equips you with the practical knowledge needed to solve real-world problems using machine learning algorithms.

What are the prerequisites for the Machine Learning course?

The prerequisites for the Machine Learning course typically include a basic understanding of programming (preferably Python), statistics, and linear algebra. Familiarity with data science concepts can also be beneficial but is not mandatory.

What topics are covered in the Machine Learning course?

The Machine Learning course covers a wide range of topics, including data preprocessing, linear regression, logistic regression, decision trees, support vector machines, clustering, natural language processing, neural networks, and deep learning. The course also includes practical projects to apply the learned concepts.

How is the Machine Learning course delivered?

The Machine Learning course is delivered through a combination of online lectures, interactive sessions, and hands-on projects. You will have access to video tutorials, reading materials, and practical exercises to reinforce your learning. Live instructor-led sessions and doubt-clearing sessions are also included.

What are the career opportunities after completing a Machine Learning course?

After completing a Machine Learning course, you can pursue various career opportunities such as Machine Learning Engineer, Data Scientist, AI Specialist, Data Analyst, and Research Scientist. These roles are in high demand across industries like finance, healthcare, retail, and technology.

What certification will I receive after completing the Machine Learning course?

Upon successful completion of the Machine Learning course, you will receive a certification that validates your knowledge and skills in machine learning. This certification is recognized by industry professionals and can help you stand out in the job market.

How do I enroll in the Machine Learning course?

To enroll in the Machine Learning course, visit our website and choose the course that best suits your level of expertise. Complete the registration process by providing your details and making the payment. Once registered, you will gain access to all course materials and resources.

Are there any placement assistance services available after completing the Machine Learning course?

Yes, we offer placement assistance to help you secure job opportunities after completing the Machine Learning course. Our services include resume building, interview preparation, and connecting you with top recruiters in the field of machine learning and data science.

What support is available during the Machine Learning course?

During the Machine Learning course, you will have access to 24/7 support from our expert instructors and support team. Benefit from interactive doubt-clearing sessions, peer interaction, and additional learning resources to ensure a comprehensive understanding of machine learning concepts.

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Yuva Sakthi Academy Training Location

Saravanampatti

95/1thSathy main road,SN complex,
Saravanampatti, Coimbatore – 641 035
Tamil Nadu, India.

Landmark: Hotel Guruamuthas
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