Data Science Training

EdifyCons believes in keeping pace with innovation in the IT world!As every professional seeks success in their career and it all depends on the effective and well-executed skills of the individuals. We believe technologies are changing rapidly and the demand for skilled professionals is increasing. We at EdifyCons, help professionals to attain their goal by delivering the quality skill enhancement online & classroom training programs through our renowned industry experts.We are one of the best online & classroom training platforms for technical education. We provide training for an array of courses in various disciplines such as Project Management, Big data, Data Science and Business Intelligence, Cloud, DevOps, Digital Marketing, Cyber Security, Agile Scrum, IT Services, Software Development, Salesforce, and Quality Management.Our vibrant community of technophiles and certified professionals with the compassion of quality education empower professionals to enrol in our affordable and engaging cutting edge programs.Placement and Consulting Services:We are one of the recognized and well-trusted Placement and Consultant Company serving some of the fortune companies with the comprehensive consultant and placement services for Cloud, Big Data, DevOps, Agile and Salesforce.All you need is Get Trained! Acquire Certification! Get Hired!

Edifycons Pte Ltd

Overview  This course Provides instruction on the processes and practice of data science, including machine learning and natural language processing. Included are: tools and programming languages (Python, IPython, Mahout, Pig, NumPy, pandas, SciPy, Scikitlearn), the Natural Language Toolkit (NLTK), and Spark MLlib. Duration     3 days Course Objectives  • Recognize use cases for data science on Hadoop • Describe the Hadoop and YARN architecture • Describe supervised and unsupervised learning differences • Use Mahout to run a machine learning algorithm on Hadoop • Describe the data science life cycle • Use Pig to transform and prepare data on Hadoop • Write a Python script • Describe options for running Python code on a Hadoop cluster • Write a Pig User-Defined Function in Python • Use Pig streaming on Hadoop with a Python script • Use machine learning algorithms • Describe use cases for Natural Language Processing (NLP) • Use the Natural Language Toolkit (NLTK) • Describe the components of a Spark application • Write a Spark application in Python • Run machine learning algorithms using Spark MLlib • Take data science into production
<H3 CLASS="co-title">Eligibility / Requirements</H3>
Students must have experience with at least one programming or scripting language, knowledge in statistics and/or mathematics, and a basic understanding of big data and Hadoop principles. Students new to Hadoop are encouraged to attend the HDP

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Data Science Training

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Data Science Training

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