Machine Learning

Machine learning is a technique used to reduce errors in predicting outcomes. It is an artificial intelligence-based tool. The tool allows the machine to gain experience based on previous outcomes and predict results which are more accurate.

Dev technology solutions provides the best Machine learning training in Chennai. Trained experts in the field of machine learning train and prepare students to attend interviews and gain practical experience.

Machine Learning Training Syllabus:

• Introduction to Datascience and Python
• What is Data Analytics?
• What is Datascience?
• Why Datascience?
• Introduction to Python
• Discuss about Datascience with Python
• Environment Set-Up
• Discuss about IDE
• Installation of Anaconda IDE and Python
• OOP's Concepts in Python
• Discuss about OOP’s concept
• Defining Classes in Python
• Creating object in Python
• Class methods and variables
• Static methods
• Private methods
• Constructors and Types
• Destructors in Python
• Inheritance and Types
• Polymorphism and Types
• Encapsulation in Python
• Exception Handling in Python
• Why Exception Handling?
• Discuss about Exception Handling in Python
• Predefined Exceptions
• Discuss about Except, try, finally clause
• Handling Multiple Exceptions
• Implementation of User defined Exceptions
• File Handling in Python
• Open and Close a file in Python
• Writing data into files
• Reading a data from files
• Explain about Access modes in File Handling
• Working with Directories
• Control Statements
• Explain about if, while, for
• Overview of List Comprehension
• Examples of While, Repeat, Break and Next
• Python Functions
• Function in Python?
• How to define function in Python
• Calling a Function in Python
• Different Types of Functions
• How to use Function Return Value?
• Types of Arguments in Functions
• Default Arguments and Non-Default Arguments
• Nested Functions in Python
• Call By Value, Call by Reference in Function
• Python Data Structure
• Data Types and Tuple
• List & Dictionary
• Introduction to Numpy
• Numpy Arrays & Array Indexing
• Data Analysis-Pandas
• Data Frame in Python
• Data Visualization in Python
• Implementation of Scatter Plot
• Discuss about Boxplot and Line Plot
• Process of Datascience
• Discuss about Business requirement
• Worth of working on it
• Proof Of Concept
• Data Collecting
• Dataframe
• Data cleaning
• Exploratory data analysis
• Implementation of ML using different algorithms
• And more.