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Machine Learning Course in Dallas

Extensive Program with 9 Courses View all
200+ Hours of Interactive Learning
Capstone Project
The capstone project will provide you with a business case. You will need to solve this by applying all the skills you’ve learned in the courses of the master’s program.
Discover your full potential by attending the Machine Learning course at Dallas. In this ML course, you will be taught various techniques and concepts of Machine Learning Using NLP, Python, Deep learning, and PySpark. This Machine learning course in Dallas includes random forests, supervised and unsupervised learning, statistics, machine-learning algorithms, and more. Edureka's Machine learning Course in Dallas offers Capstone projects, Real-time case studies, and 200+ interactive education with lifetime access for those who wish to become Machine Learning engineers.
Avg. salary earned by Machine Learning Engineer is around $114,826 per annum.

It’s time to change your career story

You Will Learn

Programming & Scripting, Data Handling, Sampling Techniques, Regression Modelling, Machine Learning Techniques, AI Types, Tokenization, Stemming, Named Entity Recognition, Statistics & 13 More Skills.

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Review for Machine Learning Course in Dallas

Our Masters Course Alumni work for amazing companies

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I gained confidence to make a career leap to Data Science after this course

I had a wonderful learning experience with Edureka. Not only did I get exposed to Data Science, but I was also able to learn related technologies that helped me in my career. The course also gave me an edge over other candidates when I was looking for a job change and helped me ace my interviews. I am now planning to shift my career to Data Science and Edureka's course has given me the knowledge and confidence to make this career leap.

Machine Learning Course in Dallas Syllabus

Python Certification Training Course

LIVE CLASS

Edureka’s Python Training Course online is created by experienced professionals to match the current industry requirements and demands. This Python Course will help you master Python programming concepts such as Sequences and File Operations, Conditional statements, Functions, Loops, OOPs, Modules and Handling Exceptions, various libraries such as NumPy, Pandas, Matplotlib, and also focuses on GUI Programming, Web Maps, Data Operations in python and more. Throughout this Python Course online, you will be working on real-time projects and this Python Course prepares you to clear PCEP, PCAP and PCPP Python Certification Professional Exams to become a certified developer.

  • WEEK 4-5
  • 8 Modules
  • 24 Hours
  • 9 Skills
Watch Course Recording
Python Certification Training Course
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Python Machine Learning Certification Training

LIVE CLASS

Edureka’s Machine Learning Certification Training using Python will help you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes, and Q-Learning. This Machine Learning Training will also help you understand the concepts of Statistics, Time Series, and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Python Machine Learning Training, you’ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.

  • WEEK 5-6
  • 6 Modules
  • 18 Hours
  • 10 Skills
Watch Course Recording
Python Machine Learning Certification Training
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Natural Language Processing Course with Python

LIVE CLASS

Edureka’s Natural Language Processing Training Course with Python will help you master essentials of text processing and classifying texts using Machine Learning algorithms along with concepts such as Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, Syntax Tree Parsing etc., over Python’s most famous NLTK package. This course is well suited for professionals and beginners. This NLP Online certification training will also help you build your own text classifier using Naive Bayes algorithm. This Instructor-led Natural Language processing Course (NLP) using Python is created by top industry experts and allows you to work on real-life industry use cases.

  • WEEK 3-4
  • 6 Modules
  • 18 Hours
  • 11 Skills
Watch Course Recording
Natural Language Processing Course with Python
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Deep Learning Course with TensorFlow Certification

LIVE CLASS

Edureka’s Deep Learning with TensorFlow course will help you master popular algorithms like CNN, RCNN, RNN, LSTM, RBM using the latest TensorFlow 2.0 package in Python. This course is well suited for professionals and beginners. This certification training is curated with the help of experienced industry professionals as per the latest requirements & demands. You will be working on various real-time projects like Emotion and Gender Detection, Auto Image Captioning using CNN and LSTM, and other relevant concepts to kickstart your Data Science career.

  • WEEK 5-6
  • 10 Modules
  • 30 Hours
  • 10 Skills
Watch Course Recording
Deep Learning Course with TensorFlow Certification
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PySpark Certification Training Course

LIVE CLASS

Edureka’s PySpark certification training is curated by top industry experts to help you master skills that are required to become a successful Spark developer using Python. This PySpark training will help you to master Apache Spark and the Spark ecosystem, which includes Spark RDDs, Spark SQL, Spark Streaming and Spark MLlib along with the integration of Spark with other tools such as Kafka and Flume. Our PySpark online course is live, instructor-led & helps you master key PySpark concepts with hands-on demonstrations. This PySpark training is fully immersive, where you can learn and interact with the instructor and your peers. Enroll now with this course to learn from top-rated instructors.

  • WEEK 6-7
  • 12 Modules
  • 36 Hours
  • 10 Skills
Watch Course Recording
PySpark Certification Training Course
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Free Elective Courses along with learning path

VIEW FREE COURSES
Self Paced

Python Scripting Certification Training

VIEW CURRICULUM
Self Paced

Python Statistics for Data Science Course

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Self Paced

Reinforcement Learning

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Self Paced

Graphical Models Certification Training

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Machine Learning Course Fee in Dallas

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1,499 2,601
Your total savings: 1,102
No Cost EMI Available, Starting from 167/mo.
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To make this a No Cost EMI offer
The interest amount will be discounted from the price of your order. You will be charged for the item price minus the discounted interest.
See Course Bundle
  • Python Certification Training Course
    349
  • Python Machine Learning Certification Training
    449
  • Natural Language Processing Course with Python
    349
  • Deep Learning Course with TensorFlow Certification
    389
  • PySpark Certification Training Course
    449
+4 Free Elective Courses 616

Financing Options

Financing options available without any credit/debit card. The interest amount will be discounted from the price of the course and will be borne by Edureka. You will be charged the course price minus the interest.

Click on View More to avail. Conditions Apply.

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Capstone Project

Machine Learning Engineer Master Capstone Project

The objective of this project is to automatically recognize human actions based on analysis of the body landmarks from pose estimation. 

Machine Learning Certification Course in Dallas

Edureka’s Certificate Holders work at companies like :

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certificate
Your Name
Machine Learning Engineer
Python Certification Training Course Python Machine Learning Certification Training Natural Language Processing Course with Python Deep Learning Course with TensorFlow Certification PySpark Certification Training Course Machine Learning Engineer Master Capstone Project
Sample ID NA Signature
The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate

Features of Machine Learning Course in Dallas

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As per your convenience

Weekday or weekend; morning or evening. Multiple options for everyone.

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Never miss a class

You can always switch to another batch, depending upon your availability.

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Personal Learning Manager

A human, who is Ridiculously Committed to answer all your queries.

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Lifetime Access

You'll have the keys to all our presentations, quizzes, installation guides. All for a lifetime!

Job Outlook

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USD 8.81 Billion Growth in Machine Learning Market size by 2022 - MarketsandMarkets

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Salary Trend Average annual salary for Machine Learning Engineer is $134,449– Indeed.com. AI&ML technology is expected to create 11.5M jobs by 2026 – the U.S. Bureau of Labor Statistics.

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119 % Annual Growth Increase in job postings for AI&ML experts

    Top Industries
  • Retail
  • Finance
  • Healthcare
  • Travel and Hospitality
  • Automotive
  • IT Services
    Job Titles include
  • Machine Learning Engineer
  • AI Engineer
  • Data Scientist
  • Data & Analytics Manager
  • NLP Engineer
  • Data Engineer

Machine Learning Course in Dallas FAQ's

Machine Learning Course Masters Program is a structured learning path recommended by leading industry experts and ensures to make you proficient in Artificial Intelligence and Machine Learning Engineering. This Machine Learning Course is formulated by analysing the broad spectrum of its implementation in the market. This immersive program includes 5 courses: Python Programming, Machine Learning using Python, NLP with Python, AI & Deep Learning with Tensorflow, and Python Spark using PySpark. This program will help you launch your career as Machine Learning Engineer.
Machine Learning Engineer Masters Program has been curated after thorough research and recommendations from industry experts. It will help you master concepts of Python Programming, Artificial Intelligence, Machine learning, Deep Learning, NLP, Graphical Modelling and Reinforcement Learning along with hands-on experience of tools and systems used by the industry experts. Edureka will be by your side throughout the learning journey - We’re Ridiculously Committed.
Topics covered but not limited to will be: Python Programming, PySpark, HDFS, Spark SQL, Machine Learning Techniques and Artificial Intelligence Types, Tokenisation, Named Entity Recognition, Lemmatisation, Supervised Algorithms, Unsupervised Algorithms, Tensor Flow, Deep learning, Keras, Neural Networks, Bayesian and Markov’s Models, Inference, Decision Making, Bandit Algorithms, Bellman Equation, Policy Gradient Methods.
There are no prerequisites for enrolment to the Machine learning Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.
Edureka’s Online Machine Learning Course is a thoughtful compilation of Instructor-led and Self-paced courses, where-in the learners are guided by industry experts, and also allowing the learners to learn at their own pace.
Yes! You can be enrolled to multiple other Instructor - led or self Paced courses offered by Edureka. This is the advantage of learning with us - “Flexible Schedule”. You can select the batches that allows you to make the best of your learning journey without the fear of overlapping or missing classes.
The recommended duration to complete this program is 28 weeks, however it is up to the individuals to complete this program as per their own pace.
As soon as you enrol, all the 5 LIVE courses mentioned in the curriculum, along with the elective courses will be added to your account. Edureka provides its learners with immediate and lifetime access to every course, which is a part of the Masters Program.
Yes. This Machine Learning Course Masters program will be effective only when the prescribed order is adhered.
Certificate of Completion for Masters Program shall be awarded to you once you have completed the individual Certification projects of the following courses as well as the Capstone Project: Python Programming Machine Learning Certification Training using Python Graphical Models Reinforcement Learning NLP with Python Certification AI & Deep Learning with Tensorflow Python Spark Certification Training using PySpark To aid your learning journey, we have added following elective courses in the LMS: Python Scripting Python Statistics for Data Science Completion of the above elective courses is not associated with Master's Program completion criteria.
Yes, we would be providing you with certificate of completion for every course that is a part of the learning pathway, once you have successfully submitted the final assessment and it has been verified by our subject matter experts.
A Capstone Project serves as a final project that consolidates all your masters program learning. This will require you to understand a business case and present a solution to solve all the problem statements mentioned in the project.
Yes, in addition to successful completion of all individual courses, you need to attempt and complete the capstone project to receive the certificate for Masters Program.
The salary range for Machine Learning Engineer in various countries according to a salary survey by Payscale, Glassdoor, and talent.com:
  • India: ₹8,14,476 per year
  • US: $130863 per year
  • Australia: $112,823 per year
  • Canada: C$85299 per year
  • UK: £51,487 per year
  • Singapore: S$73092 per year
  • UAE: AED 202461 per year
  • A fresher, Experienced and professional person looking for a career change can take this Machine Learning Course.
    Yes, our machine learning online course is suitable for fresh graduates as well as experienced professionals. This online machine learning masters program includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.
    Machine learning engineers must complete the task of organizing the process for making these models. They are responsible for having the training information required to support machine learning and the algorithm. These professionals collect the data that is labeled.
    Few programming skills are necessary for Machine Learning. You must be aware of OOPs concepts, data structures, and algorithms. The most popular programming languages utilized to implement Machine Learning are R, Python, C++ and Java.
    ML is among the most desired courses by companies that deal with data due to the rapid speed at which the world is moving toward AI and automation. Therefore, taking Edureka ML training will allow you learn in depth concepts of machine learning.
    Machine learning is the method of gathering real-world data, obtaining valuable information from it, then taking action to complete specific tasks without manually programming. It allows systems to improve as they progress by studying various types of data from the real world. Additionally, it will enable companies to enhance their business strategies by getting the right insights from their business information.
    The Machine Learning certification course is open to all who are who is interested in and enjoys the latest technology. It is required to possess a bachelor's degree and at least an average grade point. Basic knowledge of programming languages and maths is also helpful.
    You never miss a master's in machine learning class, but you can switch to another batch depending on availability.
    Machine learning is a great choice for professionals. It has extended to almost everywhere and in every industry. Various industries are adopting the latest technologies related to machine learning to secure a great job in the field of machine learning. Machine Learning professionals and experts make a decent amount of money each year.
    The edureka ML master program course fee is Rs.89999.
    After you've completed your master's in machine learning, you'll be competent to work in any setting, pursuing work at various kinds of organizations, including public or private corporations as well as non-profit organizations. federal and state government agencies.
    No, we do not enforce an order of course completion. Our machine learning master course Program recommends the ideal path for becoming a machine learning Professional. However, the learner prefers to complete the courses in any order they intend to.

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