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About the Course
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Machine Learning [Module 1]:- Introduction to Machine Learning
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Machine Learning [Module 2]:- Learning with Regression and Trees
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Machine Learning [Module 3]:- Ensemble Learning
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Machine Learning [Module 4]:- Learning with Classification
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Machine Learning [Module 5]:- Learning with clustering
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Machine Learning [Module 6]:- Dimensionality Reduction
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Machine Learning [Module wise Imp Solution]
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Big Data Analytics [Module 1]:- Introduction to Big Data and Hadoop
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Big Data Analytics [Module 2]:- Hadoop HDFS and Map Reduce
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Big Data Analytics [Module 3]:- NoSql
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Big Data Analytics [Module 4]:- Mining Data Streams
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Big Data Analytics [Module 5]:- Real Time Big Data Model
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Big Data Analytics [Module 6]:- Data Analytics with R
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Big Data Analytics [Module wise Notes]
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Big Data Analytics [Module wise IMP Solution]
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Natural Language Processing [Module 1]:- Introduction to NLP
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Natural Language Processing [Module 2]:- Word Level Analysis
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Natural Language Processing [Module 3]:- Syntax analysis
- POS Tagging
- Syntax Analysis
- Tag-set for English
- Rule Based POS
- Stochastic Part of Speech Tagging
- Transformation Based Tagging
- Multiple Tags ,Word and Unknown Words
- Basic Concept of Grammar and Parse Tree
- Parsing in NLP
- Hidden Markov Model Part 1
- Hidden Markov Model Part 2
- Viterbi Algorithm
- Syntax Analysis [Notes]
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Natural Language Processing [Module 4]:- Semantic Analysis
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Natural Language Processing [Module 5]:- Pragmatic & Discourse Processing
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Natural Language Processing [Module wise Imp Solution]
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Natural Language Processing [Viva Questions]
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POS Tagging