About Course
All our staff are well versed and 10+ years experienced in the industry and working in Machine learning field and will help you to crack certifications like GCP data engineer, MCSA: Machine Learning, and other cloud exams on Machine Learning by different vendors. Professionals with Machine Learning with python are required today in many fields like E-commerce, Banking, Financial, retail, medical, and entertainment. Cost of Machine Learning certifications would be around 400$. Average salary for machine learning engineer in India is around 11 Lakhs per annum.
Machine Learning Training Course in Noida, India gives ML enthusiasts a wonderful opportunity to gain in-depth knowledge from the basics of statistics to master in building ML models with a Proper understanding of the business problems. This Machine Learning course aims to provide exposure and hands-on on different field problems that need Machine Learning solutions to be implemented. The average salary of Machine Learning in Noida ranges from 9 lakhs to 17 lakhs in Noida.
What will you learn in Machine Learning Training in Noida?
Machine Learning training course in Noida provides valuable insights for students in the below areas:
- Fundamentals of Machine Learning and python language.
- statistical concepts like Central tendencies, Distributions, Different Hypothesis tests.
- Advanced data exploration techniques like EDA, data munging and feature Engineering.
- Regression Techniques (linear, non-linear and logistic), Supervised and unsupervised machine learning concepts
- Ensemble techniques and intro to Neural Networks.
The objective of the Machine Learning Training Course in Noida?
After completion of this online training course on Machine Learning you will be able to:
- To understand, approach and solve any business problem
- Selection of models according to a business problem
- Explore the data and munge it according to business needs.
- Build different machine learning models based on problems
- Evaluate and re-engineer the models using ensemble techniques.
Who should attend this Machine Learning Certification Course in Noida?
Any Machine Learning and machine learning enthusiast can join this certification course, it is best to fit for:
- Business Analysts
- IT professionals
- Engineering, Bsc statistics pass outs and postgraduates in data field
- Data scientists
What are the prerequisites for learning Machine Learning Training Course in Noida?
There are no prerequisites to take up for this course, even people without any knowledge of these technologies can take up this course.
What are the Machine Learning job opportunities in Noida?
These are the following job opportunities for people with knowledge in Machine Learning are in Noida:
- Data Scientist
- Machine Learning Engineers
- Data Analyst
- Business Analyst
- Data Architect
- AI Engineer
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
- Data Mining: Clustering techniques, Regression & Classification
- Anova & Sentiment Analysis
- Data Mining: Decision Trees and Random Forest
- Project work
- Basics of Statistics & Linear & Logistic Regression
Upcoming Batches for Machine Learning Training in Noida
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.
Course Price at
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Enroll Now Pay Later Request a BatchMachine Learning Training in Noida 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 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
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
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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Own Course Materials
We have every course material to understand which is prepared by our trainers and we will share with you after session completes.
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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 in Noida Reviews
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