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About Machine Learning Course Training

Jumpstart a career Machine Learning from this Machine Learning training course in Houston and this program will surely cook you for the world’s most thrilling technology boundaries. Machine Learning courses in Houston have a variety of trainers for each sector like classroom training, online training, practical assignments and so on. All the trainers are masters in giving Machine Learning training course in Houston. To crack the certification exams on Deep Learning certification, Machine Learning with TensorFlow on Google, Mathematics for Machine Learning, and Machine Learning Data Science Certification, Machine Learning certification training course in Houston is the ultimate option. There are many candidates who got hired in top companies as they have undergone the course from this best Machine Learning training in Houston. An average salary for a Machine Learning Engineer would be $146,000.

Machine Learning Training Online Courses in Houston is holding a big list of courses which would help all the learners along with hand-on experience. The courses taken by our experts are Natural Language Processing, Text Mining, Decision Tree, Random forest, Logistic regression, Linear regression, Iteration and evaluation, CARET package, H2O Package, Predictive Modelling, Overfitting and Underfitting, Cross-Validation, Machine Learning use cases and still more to go. Online courses, Regular courses, and Short-term courses are some of the course availability in the Machine Learning Training Course in Houston. The way of teaching and time duration may vary for each type. The students can request for time customization as per their accessibility.

What you will learn in this Machine Learning Training in Houston?

Machine Learning Training in Houston is importantly targeted for professionals and students who really wants to improve their career as a Machine Learning Engineer. In Machine Learning training period, you will learn the below-mentioned topics and its details:

  • < li> Introduction to Machine Learning and what are the uses
  • Information on Machine Learning Vs Statistical Learning
  • Learning algorithms of Machine Learning
  • Introduction to H2O packages and CARET packages
  • Machine Learning Case Studies
  • Machine Learning approaches and techniques

Objectives of Machine Learning Course in Houston

Objectives of Machine Learning courses in Houston are numerous and here a small list is provided for the learner to know the importance of Machine Learning training courses afforded by this efficient squad:

  • Materials and training materials with high quality.
  • Many teams are available for assistance to complete the certifications.
  • 24/7 live support to enable the learners to contact the team anytime from anywhere.
  • Job oriented training and placement training are specific for the freshers.
  • Live instructors are good at providing real-time training with full project support.
  • Live classroom training and Live online training are the biggest advantages for the new joiners.
  • Case Studies and individual projects are provided for the learners to get good experience in practical life.

Who should attend this Machine Learning Certification Course in Houston?

Machine Learning Certification Course in Houston is not restricted for a particular person or professional as it has wonderful scope in the present technology world. Below are the list of people who can attend this Machine Learning Certification course in Houston.

  • Data Scientist
  • Business Intelligence experts
  • Data Analysts
  • Freshers
  • Programming Professionals
  • Business Analysts

What are the prerequisites for learning Machine Learning Training Course Houston?

Machine Learning training course in Houston from GangBoard is a completely fun-filled program that allows you to learn the entire Machine Learning concepts thoroughly. Students, professionals and freshers can get complete knowledge on all the Machine Learning techniques. No prior experience or any specific skills are expected from the learners to complete this Machine Learning training course.

What are the Machine Learning job opportunities in Houston?

Job opportunities for Machine Learning Engineers is the best career option and on successful completion of Machine Learning certification through GangBoard, getting well-paid jobs is quite easy and for sure it is possible to get into the topmost branded companies anywhere in the world. Know some of the Machine Learning job opportunities which can be received if appearing on GangBoard Machine Learning training.

  • Machine Learning Engineer
  • Data Scientist- Machine Learning
  • Artificial Intelligence
  • Senior Solution Architect
  • Lead Data Scientist
  • NLP Engineer
  • Data Engineer

What you'll learn from this course?

  • Introduction to Data Analytics
  •  Introduction to R programming
  • Data Manipulation in R
  •  Data Import techniques in
  •  Exploratory Data Analysis
  • Basics of Statistics & Linear & Logistic Regression
  •  Clustering techniques, Regression & Classification
  • Anova & Sentiment Analysis
  • Data Mining: Decision Trees and Random Forest

Upcoming Batches for Machine Learning Training

Our Machine Learning Online Course give 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 any time as per your choice.

Course Price at

Program Fees:  20,000 Discount Price: 17,000

You Save:  3,000 (15% OFF)

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Course Syllabus of Machine Learning Online Training

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
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Program Features

IT Professionals as Trainers

Learning a technology with a professional who is well expertise in that solve 60% of your needs.

Fully Hands-on Training

We support any training should be more practical apart from theoretical classes. So, we always gives you hands-on training.

Affordable Fees

We are dead cheap in fees. We are having options to make the payment in instalments as well if needed.

10000+ old students to believe

We satisfied 10000+ students from the day we started GangBoard. Take a look of our old student’s video reviews and it says all.

Counselling by Experts

If you are in dilemma to choose a course, we are having experts in counselling team to help you with perfect projection of your career.

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.

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. Debit Card / Credit Card, American Express, Master Card, or PayPal.

You can reach us through +91-9707240250. Or you can share your queries through enq@gangboard.com. Estimated turnaround time will be 24 hours for emails.

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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

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1596 Reviews

Average Ratings

GangBoard Total Reviews in all Medium

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