Let'S Educate Drive Search
Let'S EducateποΈ
4. Conditional Random Fields
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2. NLP Course Project - Building a Chatbot
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1. Building Chatbots With Rasa
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1. Building Chatbots With Rasa
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3. Conditional Random Fields
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1. Dependency Parsing - Additional Content
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5. Natural Language Processing Course 4
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4. Additional content - Indexing
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5. Additional content
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4. EMR Cluster in AWS
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1. Big Data and Cloud Computing
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7. Introduction to Big Data and Cloud
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2. Case Statements, Stored Routines and Cursors
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1. Hive case study- DA track
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1. Additional Resources for Course 3
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4. Course 3 - SQL & NoSQL Databases
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7. Apache Sqoop Extra Coding Question Solutions
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4. Use Case Example
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5. Use Case Example
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5. Practise Coding Question Solutions
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4. Practise Coding Questions- MapReduce Programming
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1. Cloud Computing
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2. Introduction to Cloud Computing & AWS Setup
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5. Amazon Dataset Case Study
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2. Big Data Industry Case Studies and Job Roles in Big Data Domain
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3. Course 3 - Data Engineering - I
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4. SQL Case Study
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2. Case Statements, Stored Routines and Cursors
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4. Class Imbalance
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2. Algorithms for Decision Tree Construction
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1. Telecom Churn - Group Case Study
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1. Telecom Churn Case Study(Advance Machine learning)
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2. Course 3 - Advanced Machine Learning
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1. Course Wrap
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9. Course Wrap for E-commerce
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PYTHON - In English Total 4 Course
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1. Course Wrap
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5. Course Wrap for Healthcare
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2. Claims and Care Management
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3. Live Sessions - Previous Cohorts
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19. Healthcare Capstone Project
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1. Capstone Project - Credit Card Fraud Detection
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18. Credit Card Fraud Detection - Capstone Project (BA)
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1. E-Commerce Capstone Project
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17. E-Commerce Capstone Project
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2. Problem Statement - Supply Chain Capstone
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16. Supply Chain Analytics - Business Analytics
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1. Capstone Overview
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3. Credit Card Fraud Detection using ML
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1. Introduction to Healthcare Capstone Project
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1. Stock Analysis & Portfolio Management - Capstone
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16. Capstone Project - BA Track
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1. Capstone Overview
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2. Problem Statement - Supply Chain Capstone
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7. Supply Chain Analytics (DA) - Capstone Project
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3. Credit Card Fraud Detection using ML
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3. Algorithms for Decision Tree Construction
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1. Capstone Mindmap
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3. Naive Bayes for Text Classification
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2. Naive Bayes For Categorical Data
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