Course Detail

Course Description

Machine learning is derived from artificial intelligence and is primarily based on the idea that machines can learn from statistics and even pick out styles or make choices with very less human intervention. Machine learning involves studying how the machine can reach various conclusions or take decisions based on data or other pre-programmed instructions. It involves tasks like search engines, filtering spam, and computer vision. It is becoming a widespread requirement for fact scientists. Cyberoid (a training division of Nestsoft Technologies) in Kochi helps you to understand the algorithms machines use and how these are made. Our experienced developers provide a detailed explanation and individual attention for a good understanding of the topic.

Machine Learning is one of the most famous profession streams of today. The upward push of AI will make 2.3 million Machine Learning employments by using 2020, as indicated via an ongoing report from Gartner.

Scope And Career Prospects

• Machine learning is one of the most important IT applications and such trainees are an asset to companies.
• Google, Amazon, and Facebook are some of the tech giants among many others that have a growing importance for machine learning and looking to hire professionals with knowledge in it.
• Machine learning is a great career to start with and has a huge salary compared to other IT jobs for freshers.
• The scope of machine learning is endless as it is a growing concept in the IT industry and has a lot of room for innovation.
• More and more companies are getting introduced to the concept and machine learning knowledge is an increasing requirement day by day.

Features

• On The Job Training
• Training by Experienced Developers
• Experience Certificate With Interviews
• Cost effective and Quality training
• Print Course material and software copy
• Practical and theory sessions
• Soft skills training
• Practice on Real Time Projects
• Demand for Machine Learning will increase to 70% by 2020
• Top Companies Hiring: Google, Facebook, Amazon, Apple, and uber...
• 100% Placement Support After course on Machine Learning

Training Fees / Duration (Rs. 2,500/- Onwards)

• Internship for BTech, MTech, MCA, BCA, Bsc, B.Com, M.Com, MBA Students
• Duration: 1 Week to 6 Months
• Internship Training on real projects
• Training / Internship by Experienced Professionals
• Online / Live / Direct Classes

Syllabus

Unit 1 : Introduction To Python ( 6 Hours )

• Short history
• Introduction
• Features of Python
• Python Installation
• Python Interpreter
• How to Run Python
• Basic Syntax
• Input, Output Functions
• Comments

Unit 2 : The Basics ( 6 Hours )

• Variable and Data Types
• Numbers - Strings - Lists - Tuple - Set - Dictionary
• Operators
• Arithmetic Operations

Unit 3 : Conditional Statements ( 1 Hour )

• if Statement
• if...else Statement
• If...elif...else Statement
• Nested if statement

Unit 4 : Looping ( 1 Hour )

• For loop
• For loop with else
• While Loop
• While Loop with else statement
• Nested loops

Unit 5 : Control Statements ( 1 Hours )

• Break statement
• Continue statement
• Pass statement

Unit 6 : Comprehensions ( 1.5 Hours )

• List Comprehensions
• Set Comprehensions
• Dictionary Comprehensions

Unit 7 : Functions ( 2.5 Hours )

• Definition
• Function Calling
• Function Arguments
• Default Arguments
• Variable-length arguments
• Lambda functions
• Recursive functions
• Functions returning values

Unit 8 : Modules ( 2 Hours )

• Creating Modules
• Import Statements
• Packages

Unit 9 : File Handling ( 2 Hours )

• Opening a File
• Reading from a File
• Writing to a File
• Closing a File
• File Methods
• Renaming a File
• Deleting a File
• Directories in Python

Unit 10 : Exception Handling ( 3 Hours )

• Handling Exceptions
• Exception with arguments
• Raising an Exception
• User-defined Exception
• Assertions in Python

Unit 11 : Object Oriented Programming with Python ( 5 Hours )

• Overview of Classes and Objects
• Using Class
• Using Methods
• Use Object Data
• Inheritance
• Destructors
• Encapsulation
• Data hiding
• Method overriding
• Polymorphism

Unit 12 : Regular expressions ( 5 Hours )

• Introduction
• match() function
• search() function
• search and replace
• regular expression modifiers
• regular expression patterns
• Character classes
• special character classes
• repetition cases
• findall() method
• compile() method

Unit 13 : Database Programming ( 3 Hours )

• Connecting to a database
• Creating a Database
• Creating DB table Advanced Education Services
• Insert and Update Records
• Retrieve and Delete Records
• Transaction Control
• Disconnecting from a database.

Unit 14 : Python Advanced Programming ( 3 Hours )

• Python MongoDB concepts
• Python Tkinter programming
• Python Machine Learning concepts cdv

Unit 15 : Introduction to Machine Learning ( 5 Hours )

• What is machine learning
• Applications
• Supervised vs Unsupervised learning ced Education Services
• Data Processing

Unit 16 : Regression & Classification ( 8 Hours )

• Linear Regression
• Non-linear Regression
• K-Nearest Neighbour
• Decision Trees
• Logistic Regression
• Support Vector Machines

Unit 17 : Clustering ( 5 Hours )

• K-Means Clustering
• Hierarchical Clustering
• Density-Based Clustering

Unit 18 : Python Libraries for ML ( 10 Hours )

• Numpy
• SciPy
• Pandas
• Scikit-learn
• Matplotlib

Unit 19 : Visualization Tools ( 10 Hours )

• Introduction to Data Visualization
• Plotting with Matplotlib
• Area Plots,Histograms,Bar Charts
• Pie Charts,Box Plots,,Scatter Plots,Bubble Plots

Unit 19 : Image Data in Machine Learning ( 5 Hours )

• Image storage formats
• Scikit-image
• Smoothing and denoising
• Working with text and databases - NLTK

Unit 20 : Data analysis & Visualization project ( 15 Hours )

• Project