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Machine Learning Training

Machine Learning is the most popular and highly in-demand and Job-oriented skill in the IT Industry. In today’s era, most of the advanced tech products are driven by Machine Learning (or Artificial Intelligence). People generally use big tech phrases to explain the concept of Machine Learning like Self Driving cars, Face recognition, Fingerprint identification, etc. We at Appxperts, help you to understand the core concept of ML/AI with hands-on experience.

This course is beginner friendly and will give you a clear picture of the Machine Learning world. During the course students will design and develop interesting live-projects like Predicting the House Price, Temperature Prediction of a Day, Facial Recognition, Animal recognition, etc. After completing this course you will be able to design high end Machine Learning Model.

What is Machine Learning and AI?

Right now in industry people uses many terms like Machine Learning, Artificial Intelligence, deep Learning, Data Discovery, Data Science, Data Analytics very interchangibly but they all are very similiar to each other. In other way we can say that all the fields are stiched together and uses similiar techniques.

In one sentence, Machine Learning is way of creating a computer program that improves with experiments. Generally ML involves creating models (models means program logic that can not be written by humans itself). For example think about writing program logic for Face Recognition, how would you write with your programming knowledge it is quite difficult , isn’t it? So, to handle that kind of task you will use Machine Learning technique.

Machine learning courses

Machine Learning is active field of research and have vast promissing in the present time and near future. All the BIG TECH Giants are using Machine Learning in their hard core products. Think about Amazon , Google, Flipkart, Dropbox, Zomato, Facebook, Spotify, etc. all these company are using ML in their product development.

Machine
Learning
Artificial
Intelligence
Deep
Learning
Data
Discovery
Data
Science
Data
Analytics

Why you need to learn Machine Learning

Today, Machine Learning have touched almost all the sectors or industry like Finance, Biotech, Engineering, Aerospace, Database, Signal Processing, Information Technology. Because of that openings for ML engineers is more in almost every sectors.

Other advantages of taking Machine Learning course:

Better career opportunities and growth

Better salaries

Lack of Machine Learning skill in Software companies

After getting knowledge of Machine Learning you can also take up roles of Data Analytics, Data Science.

Why you should register at Appxperts for Machine Learning in Puducherry?

Help to get knowledge of core Machine Learning concepts

Get the core concept of Deep Learning

Learn Machine Learning with practical example

Proven and well tested teaching methods for beginner

Get mentored by industry best Machine Learning expert

Learn to develop industry standard Machine Learning projects

For any questions, you can contact us or visit Appxperts Academy center.

MACHINE LEARNING COURSE DETAILS

Getting started with Python programming

Overview

Introductory Remarks about Python

A Brief History of Python

How python is differ from other languages

Python Versions

Installing Python and Environment Setup

Variables, Keywords, Data types and Operators

Variables

Memory mapping of variables

Keywords in Python

Operators

Basics I/O and Type casting

Getting user input

Numbers and Strings

Introduction to Python 'Number' & 'string' data types

Properties of a string

String built-in functions

Programming with strings

String formatting

Lists and Tuples,Dictionary and Sets

Introduction to Python 'list' data type

Properties of a list

List built-in functions

Programming with lists

List comprehension

Introduction to Python 'tuple' data type

Tuples as Read only lists

Introduction to Python 'dictionary' data type

Creating a dictionary

Dictionary built-in functions

Decision making & Loops

Introduction of Decision Making

Control Flow and Syntax

The if Statement

The if..else Statement

The if…elif…else Statement

Nested if…else Statement

The while Loop

break and continue Statement

The for Loop

Pass statement

User defined Functions, Modules and Packages

Introduction of functions

Function definition and return

Function call and reuse

Function parameters

Built in functions

Modules

Importing module

Packages

The for Loop

Pass statement

Exception Handling in Python

Understanding exception

Run Time Errors

Handling I/O Exceptions

try, except, else and finally statement

raising exceptions with: raise, assert

File Handling in Python

Working with files

File objects and Modes of file operations

Reading, writing and use of 'with' keyword

read(), readline(), readlines(), seek(), tell() methods

Object oriented programming with Python

OOPs concepts: Classes and objects

Making of a class and module namespace

Deep understanding of self and init ()

Inheritance and Overriding

Encapsulation: Hiding attributes

Overloading functions

Operator overloading

Python framework for Machine Learning

numpy

pandas

scipy

scikit-learn

Tensorflow

Unsupervised Learning

Principal Component Analysis (PCA)

Clustering

K-means algorithm

DBSCAN Clustering algorithm

Gaussian Mixture Model

Supervised Learning

Linear regression

Linear classification

Logistic regression

KNN

Bayes Classifier

Support Vector Machine (SVM)

Decission tree

Ensemble Methods

Boosting and Ada Boosting

Core Machine Learning Concepts

What is Machine Learning

Types of Data used in Machine Learning

Application of Machine Learning

Supervised Vs Unsupervised

Workflow to train Machine Learning model

Training and testing Machine Learning model

Validation of Machine Learning model

Deep Neural Network

Perceptron algorithm

Neural network

Deep Neural Network

Deep Learning using Tensorflow

Loading and Preprocessing Data

How to Deploy model using Tensorflow

Convolutional neural network (CNN)

Recurrent neural network (RNN)

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