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Machine Learning Certification Training in Bangalore

Machine Learning Certification Training will help to understand the different types of Machine learning algorithms like supervised machine learning, deep learning, unsupervised machine learning, and reinforcement learning. The learners will be acquainted to the different tools and languages as spark, pyspark, Terraform, Nhmpy, R programming ;language, SAS, Python, pandas, SQL, NoSQL, Tensorflow, keras, sparkML and docker. Machine learning is used in many industries the wide roles which one can try are a data scientist, machine learning engineer, deep learning engineer, data engineer, data analyst, NLP analyst, NLP engineer and become a research analyst. Machine Learning Certification Online Training will be a stepping stone to get huge opportunities.

Machine Learning Training in Bangalore

We, at Gangboard, provide you with the best Machine Learning Training in Bangalore from beginner to advanced level. We have a team of highly experienced trainers who follow a systematic approach, allowing students to upgrade themselves at a fast pace. Our team even helps working professionals without hampering their hour for the work day in the corporate industry.
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About Course

Machine Learning helps automate the process of data analysis while allowing computers to learn and adapt through experience. Gangboard’s machine learning training in Bangalore will make you proficient in the techniques and concepts involved in the course. Talking about the included concepts, they comprised of supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Once you understand these concepts thoroughly, you can easily become a Machine Learning Engineer/developer/administrator.

There are a lot of industries like transportation, health care, insurance, financial services, automotive, oil and gas, education, and retail sales are currently using machine learning for the growth of their business. Our machine learning certification course in Bangalore helps build your logical reasoning, probability, and statistics with the help real-time practice sessions, making it easy for learners to understand each aspect expertly. In addition, our Machine Learning course syllabus has been designed in accordance with the AI (Artificial Intelligence) experts and Machine Learning specialists. We regularly update Machine Learning with R syllabus with respect to the most updated AI upgrades and algorithms.

What is Machine Learning?

Machine Learning is an AI (Artificial Intelligence) based technology that enables a software application to run its tasks in a proper order wisely and carefully without being followed or programmed or by any logic.

In a nutshell, machine learning follows five stages of data analysis, including data modeling, data collection, data model testing, data preparation, and performance monitoring. As it is a recent and booming technology, it can be applied anywhere in the real-time environment and has been using by almost genre of the industry. For example, domains such as social media, healthcare, digital advertisement, spam detection, and lot more are using this artificial intelligence based technology. There is no arguing with the fact that there is a huge demand among students with respect to machine learning certification course in Bangalore. In the current IT world for AI specialists who want to showcase their innovation on data management. It is preferred by data administrators and data analytic experts if you want to handle data in an effective manner.

Why you should go for Machine Learning Training in Bangalore?

The machine learning course is much in demand by candidates all across the world. Since most of the organizations are looking to implement machine learning, there is a severe demand for experienced professionals as well. Opting for machine learning training in Bangalore will provide its candidates with knowledge in data analysis and data science. Once candidates start learning, they would be able to gain knowledge about support vector machines, supervised and unsupervised learning, random forest classifiers, and other practices. Since machine learning has become a must-have language to learn, there is no shortage of high paying jobs.

Why choose us?

Bangalore is one of the largest IT hub of Karnataka where all notable companies, including SAP, Accenture, Amazon, IBM, Oracle, Infosys, Wipro, TCS, and Google are located. If you are interested to pursue your career in the track of Cloud, RPA & Operations Category, then this machine learning training in Bangalore will give you more confidence. And as a result, all our students will get the best hands-on training with a more real-time approach. We are having multiple branches in this beautiful city that offer machine learning certification in Bangalore at competitive prices.

What is the Average Salary Offered to Machine Learning Developer/ Architect/ Administrator?

As per the latest salary survey reports from top research firms like PayScale and Glassdoor, Machine Learning Professionals are earning an average salary of Rs. 874691/- per year in Bangalore. However, it still depends on the location, years of experience, industry and more. Our machine learning training in Bangalore helps you to go even beyond the average salary as mentioned above.

Machine Learning Course Syllabus

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 the giants like Google, Facebook, etc.
  • Also, you will learn 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 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

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
  • Inferencial 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 mine 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
 

Upcoming Batches

Start Date End Date Time (EST) ( UTC -5) Day
25 Nov 2019 23 Dec 2019 (08:30 PM - 10:00 PM) Mon-Fri
26 Nov 2019 24 Dec 2019 (10:00 AM - 11:30 AM) Tue-Sat
26 Nov 2019 24 Dec 2019 (08:30 AM - 10:00 AM) Tue-Sat

FAQ

Detailed installation of required software will be displayed in your LMS. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.

No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.

Top-notch professionals in that field who understands how to convey things in technical as well as subject matter experts.

We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.

  1. Visa Debit Card / Credit Card
  2. American Express
  3. Master Card, Or
  4. PayPal

You can reach us through +91 755 022 6991 / +91 984 025 8966. Or you can share your quires through enq@gangboard.com. Estimated turnaround time will be 24 hours for emails.

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