About Machine Learning Online Training
It includes hands on training in logistic regression, a decrease of dimensionality, and the nearest neighbor algorithm. By taking this Machine Learning classes with real time training and placement assistance, you can easily achieve the MCSA Machine Learning certification. Note that in India, you can acquire around 50,000 Rs per month on an average at IT jobs involving Machine Learning. We provide 24/7 live support of qualified professionals having long experience in the field.
Machine Learning Training Course in Gurgaon offers live online training in the sector of Data Science since Machine learning is a part of it. Fundamentals of Machine Learning are well covered. There would be a Certification Training in Introduction to Data Analytics and R programming. Besides, there would be coverage of Data Manipulation with R as well as Data Import techniques. Students have access to live classroom training in Basics of Statistics & Logistic & Linear Regression too. There would be an introductory course on various methods in machine learning and practical aspects of machine training. Machine learning is utilized in several spheres of operation today such as Healthcare, Marketing, and Sales, as well as Transportation. It is also used in financial data analysis and to prevent fraud in finance.
What you will learn in this Machine Learning Training in Gurgaon?
Machine Learning Certification Training in Gurgaon covers the basics of machine learning. It is a part of Data science that lets computers to gather required behavior through data without the need for extensive programming. This course covers the following:
- Different kinds of machine learning algorithms such as reinforcement, unsupervised, and supervised algorithms.
- Skills in dimensional reduction
- Knowledge of model evaluation and data pre-processing
- Exposure to machine learning algorithms such as random forest, regression, and decision trees
- Understanding of Q-Learning and Naive Bayes.
Objective of Machine learning Course in Gurgaon?
Once you take the Machine Learning certification training course, you would be able to understand the duties and responsibilities of a Machine Learning Engineer through the Project support and Real-time training provided. Besides, the course has the following objectives:
- Learn data analysis automation and define machine learning
- Work using real-time data and use tools for predictive modeling and receive placement training
- Learn about algorithms in Machine Learning and validate them
- Learn about time series and the linked topics
- Have the expertise to deal with similar operations while controlling future outputs.
Who should attend this Machine Learning Certification Course in Gurgaon?
GangBoard offers the Best Online Machine Learning training in Gurgaon with 24/7 live support. You would be able to improve your knowledge and gain professionalism in the field. The Live Instructor training offered would be ideal for the following groups of people:
- Freshers in Computer Science stream and those looking for an opening in the IT industry
- Employees of Business analytics looking to improve their knowledge
- Those looking to make a mark in Data Science
- Architects
- IT Professionals
What are the Prerequisites for learning Machine Learning Training Course?
The GangBoard Training institute offers a great opportunity for students through the Machine Learning Training in Gurgaon. The following pre-requisites would be useful for the course:
- Previous experience with Python
- Basics of data analysis over data analysis tools such as SAS/R
- A good grasp of mathematics like variables, linear equations, coefficients, and logarithms
What you'll learn from this course?
- Introduction to Data Analytics
- Introduction to R programming
- Data Manipulation in R
- Data Import techniques
- Exploratory data Analysis
- Basics of Statistics & Linear & Logistic Regression
- Data Mining: Clustering techniques, Regression & Classification
- Anova & Sentiment Analysis
- Data Mining: Decision Trees and Random Forest
- Project work
Upcoming Batches for Machine Learning Training
Our Machine Learning Online Course gives students the opportunity to take classes on your flexible timings. Choose from a number of batches as per your convenience. If you got something urgent to do, reschedule your batch for a later time. The classes can be attended to at any place and at any time as per your choice.
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Enroll Now Pay Later Request a BatchMachine Learning Training 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
Are you Looking for Customized Syllabus
We are also providing customized syllabus to the students according to their needs and projects requirements for the cons
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Machine Learning Exams & Certification
GangBoard 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 GangBoard 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.
5000
Total Number of Reviews
4.57
Aggregate Review Score
97%
Course Completion Rate
At the End of our Machine Learning Online Course, you will be assigned to work real-time projects. Once you completed the project with expected results we will verify and issue a globally recognized Machine Learning Course Completion Certificate from GangBoard.
Machine Learning Training Reviews
Average Ratings
Activity from April 2018
4.8
Course Reviews
Activity from Last Year
1596 ReviewsAverage Ratings
GangBoard Total Reviews in all Medium
21,596 ReviewsRenjila
Fresher
I have completed Machine Learning Training in Gurgaon at GangBoard. Very nice course content, good faculty, and support people always ready to help you to solve your issues. It’s too much user-friendly and doesn’t require much time to load and start learning. It will give you a good heads-up to your career.
Joseph
Fresher
My experience with GangBoard has been fantastic. I took the “Machine Learning Certification Course in Gurgaon”. The instructors were very knowledgeable and conducted the course effectively. I would recommend GangBoard to anyone who needs to upgrade their professional skills.
Sachin
Fresher
I did the Machine learning Course in Gurgaon at Gangboard. The training was fully practical and job oriented. As a fresher, their training was very useful for me. They also guide for placemen. My hearty thanks to the Gangboard team.
Lavanya
Fresher
It was a good experience and especially thanks to my trainer for improving my understanding of the Machine Learning Certification Course in Gurgaon from GangBoard and he is a more knowledgeable and simple person. Thanks, GangBoard for providing the best trainer for me.
Muralidhar
Fresher
It has been an awesome experience and learning for Machine Learning Training in Gurgaon at GangBoard under the guidance of Mr. sai Jaswanth. He is a top-class teacher with immense knowledge. He takes the utmost care of the students in terms of teaching and learning.
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Machine Learning Job Opportunities in Gurgaon
Gurgaon is one of the top industrial hub of the country with a high rate of financial growth. It is the third highest in terms of the per capita income of the country. It offers a good opportunity for those seeking jobs in Machine Learning because:
- Machine Learning one of the important sectors of the IT industry
- Technologies like machine learning are used in more places nowadays, increasing opportunities in an IT hub like Gurgaon.