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Hands On Neural Networks Build Machine Learning Models

Course

HANDS ON NEURAL NETWORKS BUILD MACHINE LEARNING MODELS

Category

Machine Learning Certification Course

Eligibility

All Job Seekers

Mode

Online and Classroom Sessions

Batches

Week Days and Week Ends

Duration :

60 Days

Machine Learning What will you learn?

•How to create a Machine Learning Project.
•Learn by example, by writing exciting programs
•Become a professional Machine Learning Engineer by learning Machine LearningHow to connect to multiple data sources with Machine Learning.
•Learn or brush up with the basics of Machine Learning
•What is Machine Learning and How to Build apps using Machine Learning.
•Get straight to the point! Learn the basics of Machine Learning
•Learn Machine Learning from Scratch and Achieve Highest Knowledge with Practical Examples
•with this time saving course you will Learn Machine Learning and ready to use it

hands on neural networks build machine learning models Course Features

•24 × 7 = 365 days supportive faculty
•25+ projects for good Learning experience
•Highly competent and skilled IT instructors
•Trainer support after completion of the course
•Interview guidance and preparation study materials.
•Courseware that is curated to meet the global requirements
•Live project based on any of the selected use cases, involving implementation of the concepts
•We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts

Who are eligible for Machine Learning

•.Net Developer, SilverLight, MVC3, Entity Framework 4, WCF, SQL/PLSQL, c#, SQL Server 2008, HTML5, .Net
•Java Developer, Manual Testing, Automation Testing, Oracle Developer, Sybase Developer, SQL Server Developer with SSIS and SSRS, Windows/Weblogic Application
•Java, .NET, Software Testing, Android Developer, IOS Developer, Engineering, SAP, BI, PHP, UI Designer, Big Data, PHP5, HTML5, Linux
•Python, React, Javascript, Html, Css, Web Technologies, Front End Developer, Backend Developer, Mysql, Mongodb
•Sharepoint Architect, Mobile Architect, MSBI Module Lead, Filenet Developer, WBM, IBM BPM

HANDS ON NEURAL NETWORKS BUILD MACHINE LEARNING MODELS Syllabus

Course Trailer
•Python Basics
•Installing Python and Pycharm
•How to Use Pycharm
•Intro and Variables
•Multivalue Variables
•Control Flow
•Functions
•Classes and Wrap Up
•Source Code
•TensorFlow Basics
•Installing TensorFlow
•Intro and Setup
•What is Tensorflow
•Constant and Operation Nodes
•Placeholder Nodes
•Variable Nodes
•How to Create Linear Regression Model
•Building Linear Regression Model
•Fraud Detection (Credit Card)
•Introducing Dataset
•Building Training – Testing Datasets
•Eliminating Datasets Bias
•Building the Computational Graph
•Building Functions to Connect Graph
•Training the Model
•Testing Model
•Stock Market Prediction
•Understanding the Datasets
•Importing and Formatting the Data we Want
•Calculating Price Differences
•Testing Model Accuracy