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Companies using Machine learning are Google, IBM,Microsoft, Twitter, Intel and many more.
600+ Machine Learning jobs are available in Gurgaon- LinkedIn
Companies hiring Machine Learning Engineers in Gurgaon are Intello Labs, Mobikwik, Parallel Dots and many more
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Edureka's Machine Learning Course using Python in Gurgaon provides you in-depth knowledge of Machine Learning. We offer live-instructor led sessions which will help you master the key concepts involved in Machine Learning such as what is Data Science, Era of Data Science, Data Extraction, Wrangling, & Visualization, Introduction to Machine Learning with Python, Supervised Learning - I, Dimensionality Reduction, Supervised Learning - II, Unsupervised Learning, Association Rules Mining and Recommendation Systems, Reinforcement Learning, Time Series Analysis, and Model Selection and Boosting.
Edureka's Machine Learning Course using Python is intended to enable you to grab Machine Learning ideas. The instruction in machine learning will provide a profound knowledge of machine learning and its mechanism. As a data scientist, you will learn the significance of machine learning in python programming language and its execution. In addition, Reinforcement Learning will teach you, which in turn is a significant element of Artificial Intelligence. Using Machine Learning Algorithms, you can automate real-life scenarios. Towards the end of the course, we will discuss multiple practical instances of Machine Learning in python programming language to improve your skills.
Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
Thanks a lot for your Android course. Right from the point of the start of the demo class, until the end of the complete course, the ride has been truly joyous and full of learning . I had no insight into Android development but with the help of your excellent instructor, I now stand a chance to explore wider into this. The webinars were truly awesome. Live Online sessions were highly interactive. The edureka! methodology for Online classes has changed the way I look at webinars now. Plus point is the knowledgeable course material. I am falling short of words describing the great experience of my Android training at edureka!. Thanks Team edureka!
It is a very good experience to learn from edureka!.Faculty seems excellent in sharing real world experiences.I do not feel even for single moment that i am learning from any tutor,it is like face to face gathering with an experienced person sharing it's curriculum knowledge.
Earlier I had taken training in different technologies from other institutes and companies but no doubt Edureka is completely different, First time in my carrier I have received such kind of training and support. They have really awesome instructors. The support persons are technically sound and I would like to appreciate their 24 x 7 support. I never seen such kind of support by other companies in India till now. When I had started training on Hadoop I do not have any idea of Java but their training structure is marvelous and they taught Java in very easy way and build up confidence in it. My training is still going on and it is about to finish and I would like to thanks Edureka to help me to find robust path of carrier with such a new and emerging technology of Big Data.
I took PMP online classes with edureka. Just wanted to let you know that I was successfully able to pass the PMP exam couple of weeks ago. I enjoyed learning the concepts of PMP through edureka by the excellent laid out structure.Instructor's method of teaching was very helpful. During the classes he went over the concepts in detail and also clarified all the questions very patiently. He also shared his real world experiences which helped the student to relate to the topic. Even after the completion of course work, while reviewing the chapters in LMS, I struggled in few areas and when I reached out to the instructor without any hesitation, he explained it to me by providing some good examples.Wanted to take a moment to thank the people who contributed the most in my success.
I am thankful to Edureka which is one of the best Educational organization. I have undergone two highly rated courses (Big data and Hadoop, Spark and Scala). Now i am doing well with the stuff learnt, after getting certified for big data and hadoop, I'm getting many offers from many companies. After the great experience of learning hadoop technology, I am now keen to enroll for Data science course. I hope i get the same learning experience which i got while undergoing my previous courses. I heartily thank edureka for helping me to make my career. The overall team [Trainers, support team, online support team] is the best.
Edureka is Best Online training in throughout my career (11 years). I subscribed for DevOps and course is well organized and will get hands by just following PPT, Videos and Lab exercises (Before they launch any course they do lot of home work). Best thing about Edureka is when you stuck while doing Lab exercises just mail to support team, they will call and guide to solve it for sure. It has excellent trainers and support team with 24x7 support.
You will do your Assignments/Case Studies using Jupyter Notebook that is already installed on your Cloud LAB environment whose access details will be available on your LMS. You will be accessing your Cloud LAB environment from a browser. For any doubt, the 24*7 support team will promptly assist you.
This course comprises of 34 case studies that will enrich your learning experience. In addition, we also have 3 Projects that will enhance your implementation skills. Below are few case studies which are part of this course:
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