Machine Learning
The science of getting computers to work without having to be explicitly programmed is known as Machine learning. Self-driving cars, realistic speech recognition, successful web search, and a much greater understanding of the human genome have all been made possible by machine learning in the last decade.
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About Machine Learning
Machine learning is an excellent intelligence obtained in machine innovation by human intelligence. The science of getting computers to work without having to be explicitly programmed is known as Machine learning. Self-driving cars, realistic speech recognition, successful web search, and a much greater understanding of the human genome have all been made possible by machine learning in the last decade. People may utilize machine learning daily without even realizing it because it is so common these days. Many experts feel it is the most effective method for approaching human-level artificial intelligence. This Machine Learning Course in Bangalore will teach you about the most effective machine learning techniques and offer you hands-on experience implementing and using them. More importantly, learning is about developing the practical know-how needed to apply these methods to new situations quickly and effectively, not only the theoretical underpinnings of learning.
Why is it vital to use machine learning training in Bangalore?
Machine learning training in Bangalore is important because it allows an individual as well as organizations to spot patterns in customer behaviour and corporate operations all the while aiding in the development of new products. Machine learning classes in Bangalore are now so common that you probably use it numerous times per day without even realizing it. Machine learning courses in Bangalore seem to have become a critical key differentiator for several firms.
Skillset offered by SevenMentor & Training Pvt. Ltd.. for this course
This Machine Learning classes in Bangalore is designed to teach machine learning skills in Python and R, two of the most popular programming languages. The student will be able to do Data Wrangling, Data Cleansing, and Data Mining (Supervised and Unsupervised) on both structured and unstructured data after completing this course. Python and R are statistical programming languages that may be used to create regression analysis algorithms and other statistical computations for machine learning. Understand black-box approaches, neural networks, and support vector machines, among other machine learning algorithms. In the finest machine learning course in Bangalore, students will be able to develop prediction models using Amazon Machine Learning Services. Tableau, a data visualization software, can be used to present reports to management. This Machine learning training course in Bangalore includes all of the fundamental and advanced ideas of machine learning, as well as hands-on experience with live projects that will allow you to work on real-world scenarios. With the twin engines of Python and R programming, this training will help you skyrocket your Artificial Intelligence career. Learn to script winning Machine Learning algorithms in Python and R by enrolling in our Machine Learning using Python and R programme. To perform deterioration calculations and formulate projection models, use Python and R. In the top machine learning activity in Bangalore, familiarize yourself with Black Box addresses such as Neural Networks and SVM.
What is the relation of Machine Learning in regards to Python?
The goal of the Machine Learning with Python session is to assist professionals in gaining industry-relevant Machine Learning courses in Bangalore knowledge. The programme has been created to assist professionals in obtaining lucrative positions in a variety of industries.
You will be eligible to accomplish the gain at the end of the course:
Create Python programmes, including distribution, user-defined functions, dataset import, and more.
Using the Pandas library, manipulate and analyze data.
Use Python packages like Matplotlib, Seaborn, and ggplot2 to visualize data. Construct data distribution models that include variance, standard deviation, and interquartile range.
Hypothesis Testing is used to calculate conditional probability.
Carry out an analysis of variance (ANOVA)
Construct linear regression models, assess model parameters, and track performance indicators.
Reduce the number of dimensions
Create KNN algorithm models to determine the best value for K.
Create Decision Tree models for situations involving regression and classification
.
Ensemble techniques like averaging, weighted averaging, and maximum voting can be used.
Use bootstrap sampling, bagging, and boosting algorithms.
Create models of random forests.
Using the scree plot and the one-eigenvalue criterion, determine the optimal number of components/factors.
Carry out a PCA/Factor Analysis.
Bild Support, Confidence, and Lift are crucial measures in apriori algorithms.
UBCF and IBCF can be used to create recommendation engines.
Create and assess Logistic Regression models, as well as evaluate model parameters and track performance indicators.
Use the K-means algorithm. Clustering and Hierarchical Clustering are two types of clustering.
Our Services at SevenMentor & Training Pvt. Ltd.
We at SevenMentor & Training Pvt. Ltd.., deliver an in-depth overview of all important Machine Learning subjects in our machine learning training in Bangalore. To get the most out of your machine learning training in Bangalore, you will get the opportunity to obtain hands-on experience working with real-time data, categorization, and other abilities.
The data scientists who built the Machine learning course in Bangalore are industry experts.
What distinguishes Python as the finest programming language for machine learning and artificial intelligence?
Python helps developers be more successful and assured about the software they're creating, from programming to installation and management. Python's clearness and density, as well as admission to excellent libraries and frameworks for AI and machine learning (ML), flexibility, platform independence, and a large population, bring it the nicest intention for machine learning and AI applications. These factors contribute to the syntax's overall appeal.
The following are some of the reasons why Python is the finest programming language for machine learning.
Python is simple, dependable, and consistent, resulting in code that is both concise and understandable. Machine learning and AI rely on advanced algorithms and flexible workflows, while Python's ease of use helps developers to create solid solutions. Instead of focusing on the language's technical nuances, developers can commit their entire attention to solving an ML challenge. Many programmers believe that Python is more intuitive than other programming languages. Others point to the multiple frameworks, libraries, and extensions that make it easier to add specific functionality. Python is typically regarded as appropriate for collaborative implementation when a large number of developers are engaged. Python is a general-purpose programming language that can do a wide range of complex machine tasks. There are numerous libraries and frameworks available.
AI and machine learning techniques can be challenging and time-consuming to implement. It is critical to have a well-structured and well-tested environment to allow developers to come up with the best coding solutions. Programmers utilise Python frameworks and libraries to reduce development time. A software library is a collection of ready-to-use code that programmers can use to solve common programming problems. Python's rich technology stack has resulted in a huge number of libraries for artificial intelligence and machine learning.
Platform independence
Platform-independent programming language or framework that allows developers to write things on one system and then use them on another with few (or no) changes. Python is a success.
Community and popularity are fantastic. Python was one of the top five most popular programming languages in Stack Overflow's Developer Survey which implies you can locate and employ a development business with the requisite skills to build your AI-based project. Python is widely used for web development, according to the Python Developers Survey. At first look, web development appears to be the most popular, accounting for nearly 26% of the use cases depicted in the diagram below. When data science and machine learning are combined, they account for a whopping 27 per cent of the market.
How much programming experience is required to learn a Machine Learning course in Bangalore?
The level of programming skills needed to understand machine learning is determined by how you intend to use it. If you want to use machine learning models to solve real-world business problems, you'll need programming experience, but if you just want to grasp the fundamentals, math and statistics skills will suffice. It all depends on how you want to use machine learning to its full potential. To be precise, ML models require a solid understanding of programming foundations, algorithms, data structures, memory management, and reasoning. With so many built-in machine learning libraries provided by several programming languages for machine learning, anyone with a basic understanding of programming can easily begin a career in Machine learning. There are various graphical and scripting machine learning platforms, such as Weka, Orange, BigML, and others, that help you create ML algorithms without the need for heavy coding, however, programming fundamentals are required.
Online Classes
In addition to traditional lecture hall sessions, SevenMentor offers online Machine Learning Training in Bangalore. Our online tutoring methods are far more effective than our face-to-face interactions. The online Machine Learning Classes in Bangalore will help you enhance your technical skills, programme more efficiently, and improve the effectiveness of your tactics. A live recording with lecturers is available, as well as group discussions on topics ranging from culture to healthcare. All of our courses are designed to be simple to learn in an online environment, and our web portal is extremely user-friendly.
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 |
---|---|---|---|---|---|
16/12/2024 |
Machine Learning |
Online | Regular Batch (Mon-Sat) | Bangalore | Book Now |
17/12/2024 |
Machine Learning |
Online | Regular Batch (Mon-Sat) | Bangalore | Book Now |
21/12/2024 |
Machine Learning |
Online | Weekend Batch (Sat-Sun) | Bangalore | Book Now |
21/12/2024 |
Machine Learning |
Online | Weekend Batch (Sat-Sun) | Bangalore | Book Now |
Students Reviews
This is a fantastic course for machine learning beginners who want to master the fundamentals and all the math behind the algorithms.
- Shrutika Jawale
Very well-structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without a true goal, now I have one thanks!!
- Neelam Patki
Great experience and learning lots of techniques to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.
- Keyur Talathi
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Corporate Training
SevenMentor is a well-known training firm with a track record in commercial and large-scale instruction. We offer the best on-the-job training and capacity building prospects in Bangalore. Our Corporate Machine Learning classes in Bangalore are ideal for professionals looking to relocate to one of the world's wealthiest countries. So come to us if you're looking for the best Corporate Machine Learning training in Bangalore. For firm employees, we give more skilled professors as well as one of the most user-friendly and effective skill training programmes.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
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