Machine Learning
Machine Learning, which has strong foundations in statistics, is quickly becoming one of the most intriguing and fast-paced computer science topics. Machine learning courses have the potential to improve the efficiency and intelligence of a plethora of industries and applications.
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About Machine Learning
Machine learning models are used in a variety of applications, including chatbots, spam filtering, ad serving, search engines, and fraud detection.
Machine learning Classes in Chennai enable us to discover patterns and build mathematical models for tasks that would otherwise be hard for humans to do.
Machine learning course in Chennai, as opposed to data science courses, which cover topics such as exploratory data analysis, statistics, communication, and visualisation techniques, focus solely on teaching machine learning algorithms, how they work mathematically, and how to use them in a programming language.
It's finally time to get started. The following is a TL;DR summary of the top five Machine learning Training in Chennai this year.
What makes a good machine learning course?
After following the e-learning landscape for several years and enrolling in countless machine learning courses from platforms like SevenMentor we have compiled a list of the finest Machine learning course in Chennai currently accessible.
The course should include:
Concentrate solely on machine learning.
Use open-source programming languages like Python or R.
For such languages, use free, open-source libraries. Because some instructors and providers use commercial software, some courses are excluded from consideration.
Include programming tasks to allow for practise and hands-on experience.
Explain mathematically how the algorithms function.
Be self-paced, on-demand, or once a month or so.
Have engaging instructors and lectures that are interesting.
Have received above-average ratings and reviews from a variety of aggregators and communities
The entire pool of Machine learning Classes in Chennai is swiftly whittled down as a result, but the purpose is to assist you in deciding on a course that is worth your time and attention.
Machine learning
For the assignments, the course employs the open-source computer language Octave rather than Python or R. Although this may be a deal breaker for some, Octave is a straightforward method to learn the principles of ML if you're a complete beginner.
The math required to comprehend each algorithm is well taught, including some calculus explanations and a review of Linear Algebra. The Machine learning Training in Chennai is generally self-contained, but prior understanding of Linear Algebra would be beneficial.
Deep learning
Each course's assignments and lectures employ the Python programming language and the TensorFlow neural network framework. This is a suitable follow-up to the Machine Learning Training in Chennai because you'll get a similar approach but will now be exposed to utilizing Python for machine learning.
You should be familiar with Linear Algebra and Machine learning in general to comprehend the methods discussed in this course.
Machine learning using Python
Another introductory Machine learning Classes in Chennai, but this time the emphasis is focused on the most fundamental Machine learning techniques. The teacher, slide animations, and explanation of the algorithms all work together to give you a good sense of the fundamentals.
This Machine learning course in Chennai employs Python and is lighter on the mathematics underlying the algorithms. With each module, you'll have the opportunity to launch an interactive Jupyter notebook in your browser to practise the new concepts you've just learned. Each notebook reinforces your understanding and provides specific instructions for applying an algorithm to real-world data.
Advanced Machine learning Specialization
This is another Advanced Machine learning course series that covers a wide range of topics. If you want to cover as many Machine learning techniques as possible, this Specialization is your ticket to a well-balanced and comprehensive online programme.
This Machine learning course's instruction is fantastic: it's really well-presented and concise. Because of its advanced nature, it will require more math than any other course described thus far. If you've already completed a basic course and reviewed linear algebra and calculus, this is a good option to round up your Machine learning knowledge.
A large portion of what is presented in this Specialization is critical to many machine learning applications.
Our is an advanced course with the most stringent math prerequisites of any subject on this list. You'll need a strong understanding of Discrete Mathematics, Geometry, Mathematics, and programming. The course contains fascinating programming assignments in either Python or Octave, although neither language is taught.
Machine Learning supplement
One of the most notable differences in this course is the emphasis on the probabilistic approach to machine learning. If you've been thinking about reading a textbook, such as Machine Learning: A Probabilistic Perspective, which is one of the most commonly suggested data science books in Master's degrees, this course would be an excellent supplement.
Online Classes
Online Machine learning classes in Chennai can be taken at any time that the course offers. There are numerous online courses available at various high-quality training facilities. The SevenMentor Training Institute in Chennai is one such high-quality training facility. Our company is involved in a variety of technical courses, including networking and software. Students can be instructed here with the most up-to-date technical knowledge and application techniques. Students benefit from lab examinations since they help them study all of the courses practically. Our trainers concentrate on the abilities that must be learned. Trainers augment pupils' abilities and motivate them to succeed. SevenMentor is the best-recommended training institute for recent grads looking to advance their careers.
Course Eligibility
- Candidates Who Want to be a Data Scientist, Big Data Analysists, Analytics Manager/Professionals, Business Analyst, Developer
- Graduates who are looking to create a career in Data Science and Machine Learning
- Employees – Organization is getting to shift to Big data tools
- Mid-level Executives
- Managers with knowledge of basic programming
Syllabus Machine Learning
- 1 Data Science>
- Introduction to Data Science
- Need for Business Analytics
- Data Science Life Cycle
- Different tools available for Data Science
- Pre-requisites of Data Science
- 2 R-Programming
- Introduction to R
- Installation of R
- Windows Installation
- Linux Installation
- Installation of R-Studio
- 2.1 Types of Variables
- Types of Operators
- Arithmetic Operators
- Logical Operators
- Relational Operators
- Membership Operators
- Special Operators
- If-else Flow Control
- Loops in R (While, For, Break, Next)
- Switch-Case
- 2.2 Types of Datatype
- Vectors
- Arrays
- List
- Matrices
- Factors
- Data Frames
- 2.3 Types of Loops
- For loop
- While Loop
- Nested Loops
- 2.4 Functions in R
- Function declaration with parameters
- Function declaration without parameters
- 2.5 R Data Interface
- Reading CSV files
- Reading XML files
- JSON files
- Scraping data from the Web
- SQL with R
- Databases with R
- 2.6 Data Visualization of R
- Pie Chart
- Bar graph
- Line Graph
- Scatter plot
- Stack Plot
- Box-Plot
- 2.7 Statistics in R
- Terminologies of Statistics
- Normal Distribution
- Binomial Distribution
- Regression Analysis
- Poisson Distribution
- Time-Series Analysis
- Chi-square Test Analysis
- Non-linear square analysis
- 2.8 Machine Learning in R
- What is Machine Learning ?
- Supervised Machine learning
- Unsupervised Machine learning
- Application of Machine Learning.
- AI vs Machine Learning
- Supervised Learning
- Classification algorithms
- Decision Tree
- Random Forest
- Naive-Bayes
- SVM Classifier
- Regression Learning
- Linear Regression
- Multiple Regression
- Logistic Regression
- Clustering
- K-means clustering
- K-nearest neighbour
- 2.7 Statistics in R
Trainer Profile of Machine Learning
Our Trainers explains concepts in very basic and easy to understand language, so the students can learn in a very effective way. We provide students, complete freedom to explore the subject. We teach you concepts based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates can learn in our one to one coaching sessions and are free to ask any questions at any time.
- Certified Professionals with more than 8+ Years of Experience
- Trained more than 2000+ students in a year
- Strong Theoretical & Practical Knowledge in their domains
- Expert level Subject Knowledge and fully up-to-date on real-world industry applications
Machine Learning Exams & Certification
SevenMentor Certification 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 certification at SevenMentor is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.
Proficiency After Training
- Expert in Machine learning, data analysis
- Able to work on statistical concepts using python or R
- Able to work with AI
- Have a good understanding of Data Science Algorithms
- Able to work on real-time projects with R studio
- Analyze several types of data using R
- Learn tools and techniques for Data Transformation
- Gain insights from Data and Visualize it
- Work with different file formats and types of data.
Key Features
Skill Level
Beginner, Intermediate, Advance
We are providing Training to the needs from Beginners level to Experts level.
Course Duration
90 Hours
Course will be 90 hrs to 110 hrs duration with real-time projects and covers both teaching and practical sessions.
Total Learners
2000+ Learners
We have already finished 100+ Batches with 100% course completion record.
Frequently Asked Questions
Batch Schedule
DATE | COURSE | TRAINING TYPE | BATCH | CITY | REGISTER |
---|---|---|---|---|---|
23/12/2024 |
Machine Learning |
Online | Regular Batch (Mon-Sat) | Chennai | Book Now |
24/12/2024 |
Machine Learning |
Online | Regular Batch (Mon-Sat) | Chennai | Book Now |
28/12/2024 |
Machine Learning |
Online | Weekend Batch (Sat-Sun) | Chennai | Book Now |
28/12/2024 |
Machine Learning |
Online | Weekend Batch (Sat-Sun) | Chennai | Book Now |
Students Reviews
Excellent Instruction! The teachers have extensive expertise and excellent technical capabilities. The entire training was meticulously prepared and managed. Following the training, I felt much more prepared to attend interviews. Fortunately, I was accepted into CTS.
- Rachita Rathore
I finished my data science course here. I was quite pleased with the trainer; his explanation and motivation were excellent. And I should thank SPLASH because they offered me time to pay my bill, which I didn't expect. Overall, a really good institute. Also, the value for money. Thanks.
- Kratika Raje
I completed my Machine Learning course here. I'm not in the IT profession, but their explanations and words have inspired me to learn to code. The concepts are simple for me to grasp.
- Saloni Goyal
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Corporate Training
Professionals and employees can be trained in a variety of training facilities. Employees will learn more technical topics based on the job requirements. Corporate Machine learning training in Chennai is a critical component of an employee's career. Professionals can improve their skill set by receiving instruction at a reputable training facility. The SevenMentor training Centre educates both students and staff. Employees are trained based on the time they are available. Exams and tests assist professionals become immersed in the subject and achieve good outcomes. There are numerous subtopics within data science. A Machine learning course includes machine learning and other important aspects of the course topic.
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