Course Details - GKTCS Innovations

Introduction to Python

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Data Structure

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Control Structure

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Functions

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Built in Functions

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Dictionary Case Study

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List Comprehension and Dictionary Comprehension

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Module

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Built In Modules

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File Handling and Exception Handling

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Object Oriented Programming using Python

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OOPS Application

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Inheritance, Polymorphism, Overloading and Overriding

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Regular Expression: With Case Study

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Iterator, Generator and Collection Framework

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Internal workings of an RDD Creating RDDs

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Introduction to Spark

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What is Apache Spark

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Global versus local scope

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Spark Jobs and APIs Spark 2.0 architecture

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Installation and Configuration

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Transformations

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Actions Hands on Session on RDD and Spark

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Checking for duplicates, missing observations, and outliers

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Getting familiar with your data Visualization

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Hands on Session Data Modeling Follow

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Introduction to Mlib

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Overview of the package

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Loading and transforming the data

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Getting to know your data

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Creating the final dataset

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Predicting infant survival

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Hands on Session using PySpark MLib

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Introduction to ML package

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Overview of the package

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Predicting the chances of infant survival with ML

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Parameter hyper-tuning

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Other features of PySpark ML in action

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Implementation of ML Algorithm 1.Random Forest 2.Regression 3.K-means

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GKTCS

Python for Big Data Analysis ( PySpark )

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