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Data Science course online

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70 Hours

Course offered by BigDataHub.Org

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Thank you for taking time and exploring opportunity with BigDataHub. We are a group of working professionals delivering Hadoop, Spark and Data Science Training's out of passion. I hope that we can help you to drift your career to BigData. Feel free to call back. Some of the highlights of the course are given below.

(1) 70+ hours of training out of which 35+ hours of hands-on
(2) Trainer have 4+ years of industry experience and 2+ years of teaching experience
(3) So far, training are delivered to 500+ working professionals
(4) 25 students/batch and 6 month assistance post completion of the course
(5) Study material will be given along with exercises and interview questions for every module
(6) Placement assistance will be provided based on the candidature.

 

Course Highlights

Introduction to Data Science | Introduction to Machine Learning | Python Basics | Classification | Regression | Clustering | Recommender Systems

 

Introduction to Data Science (1 day)

Introduction to Data | Data Science- Connection with AI | Need for AI | The Various Forms of Data | BigData NLP | SN | DM | IR | RL

 

Introduction to Machine Learning (2.5 days)

ML mathematical definition | Types of ML | Supervised, Unsupervised and Reinforcement | Classification and Regression  |  Training Data and Test Data | Underfitting and Overfitting(Bias and Variance tradeoff) | Accuracy, Precision, Recall, F Measure, ROC curve | Feature Selection, ChiSquared test.

About the Trainer

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2 Students

4 Courses

BigDataHub.Org

MTech IIT Madras

Master's in Theoretical Computer Science,
Machine Learning enthusiast ,
Machine Learning Meetups organizer,
BigData Engineer by profession, and
Mathematics lover

I have been working as Data Engineer in Big Data at Fractal Analytics. I have worked in Spark, Hive, Python and R. I have handled the Data Engineering as well as the Modeling part. And moreover I have conducted three successful meetups in Bangalore in Machine Learning. I also teach Python, R and Spark to various people. I love to teach Data Science from Mathematics perspective and Code accordingly.

Areas of Interest
Machine learning
Data Science
Natural language processing

HighIN: Python, R and Spark(Scala, Python based), Hadoop

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