Machine Learning Course

Understanding Languages

1. What is Language?
2. Types of languages
3. Introduction to Translators
   • Compiler
   • Interpreter
4. What is a Scripting Language?
   • Types of Scripts
   • Difference between Scripting and Programming Languages

1. What is Python?
2. Why Python?
3. Python implementations
4. Python applications
5. Python Versions
6. Python in Real-Time Industry

1. Download & Installation Process
   • Windows, Unix, Linux, and Mac
2. Online Python IDLE
3. Python Real-Time IDEs
   • Spyder, Jupyter Notebook, PyCharm, Rodeo, VS Code, ATOM, PyDev, etc.
4. Python Implementation Alternatives/Flavors

1. Keywords
2. Identifiers
3. Constants/Literals
4. Data Types

1. Python Syntax
2. Arithmetic Operators
3. Comparison Operators
4. Assignment Operators
5. Logical Operators
6. Bitwise Operators
7. Shift Operators
8. Membership Operators
9. Identity Operators
10. Ternary Operator
11. Operator Precedence
12. Difference between "is" vs "=="

1. Input Functions
2. Output Functions

1. if Statement
2. if-else Statement
3. if-elif-else Statement
4. Nested if

1. for Loop
2. while Loop
3. Nested Loops

1. break
2. continue
3. pass
4. return

1. Importance of Data Structures
2. Applications of Data Structures

1. Strings, List, Tuple, range

1. Set, Frozen Set, Dictionary

1. What is a String?
2. Representation of Strings
3. Processing Elements using Indexing
4. Processing Elements using Iterators
5. String Operators
6. String Methods
7. String Formatting
8. String Functions

1. bytes Data Type
2. byte array
3. String Formatting in Python
4. Math, Random, Secrets Modules
5. Introduction
6. Initialization of variables
7. Local variables
8. Global variables
9. 'global' keyword
10. Input and Output operations
11. Data conversion functions - int(), float(), complex(), str(), chr(), ord()

1. What is a List?
2. Need for List Collection
3. Different Ways of Creating
4. List Comprehension
5. List Indices
6. Processing List Elements (Indexing & Slicing)
7. List Object Methods
8. List is Mutable

1. What is a Tuple?
2. Different Ways of Creating Tuples
3. Tuple Methods
4. Processing Tuple Elements (Indexing & Slicing)
5. List vs. Tuple

1. What is a Set?
2. Different Ways of Creating Sets
3. Iterating Over Sets
4. Accessing Elements of a Set
5. Python Set Methods
6. Python Set Operations
7. Union of Sets

1. What is a Dictionary?
2. Difference between List, Set, and Dictionary
3. Creating a Dictionary
4. Accessing Values of a Dictionary
5. Python Dictionary Methods
6. Dictionary Comprehension

1. What is a Function?
2. Advantages of Functions
3. Syntax & Writing Functions
4. Calling/Invoking Functions

1. No Arguments & No Return Values
2. With Arguments & No Return Values
3. With Arguments & With Return Values
4. No Arguments & With Return Values

1. Default Argument Functions
2. Required (Positional) Arguments
3. Keyword Arguments
4. Variable Arguments
5. 'pass' Keyword in Functions
6. Lambda Functions (Anonymous Functions)

1. Importance of Modular Programming
2. What is a Module?
3. Types of Modules
4. Predefined Modules
5. User-Defined Modules
6. Creating User-Defined Modules
7. Function-Based Modules
8. Class-Based Modules

1. Importing Modules
2. from...import Statement
3. Module Alias / Renaming Module
4. Built-in Properties of Modules

1. Organizing Python Projects into Packages
2. Types of Packages
3. Predefined Packages
4. User-Defined Packages
5. Package vs. Folder
6. Importing a Package

1. Introduction to PIP
2. Installing PIP
3. Installing Python Packages
4. Uninstalling Python Packages

1. Procedural vs. Object-Oriented Programming
2. Principles of OOP
3. Encapsulation
4. Abstraction (Data Hiding)
5. Classes and Objects
6. Defining a Class in Python
7. Types of Variables
   • Instance Variables
   • Class Variables
8. Types of Methods
   • Instance Methods
   • Class Methods
   • Static Methods
9. Object Initialization
10. 'self' Reference Variable
11. Creating Object Properties using setattr(), getattr()
12. Encapsulation (Data Binding)
13. Polymorphism

1. What is an Exception?
2. Why Exception Handling?
3. Syntax Error vs. Runtime Error
4. Common Exception Types
5. Handling Exceptions using try-except
6. Handling Multiple Exceptions
7. finally Block
8. Try-Except-Finally
9. Raising Exceptions (raise Keyword)
10. Custom/User-Defined Exceptions

1. Understanding Regular Expressions
2. String vs. Regular Expression String
3. "re" Module Functions
4. match()
5. search()
6. split()
7. findall()
8. compile()
9. sub()
10. subn()
11. Special Characters & Character Classes
12. Real-Time Use Cases:
13. Mobile Number Extraction
14. Email Extraction
15. Data Extraction
16. Password Validation
17. URL Extraction
18. Vehicle Number Extraction

1. Introduction to Files
2. File Modes
3. Reading Data from Files
4. Writing Data into Files
5. Appending Data into Files
6. Line Count in File

7. Working with CSV Files

8. CSV Module
9. Creating a CSV File
10. Reading a CSV File
11. Writing to a CSV File

12. Object Serialization

13. Pickle Module
14. XML Parsing
15. JSON Parsing

1. Understanding the fundamentals of learning
2. Real-world applications of learning
3. Lifecycle of Machine Learning

1. Installing Anaconda & Python
2. Difference between AI and Machine Learning
3. How to obtain datasets
4. Data Preprocessing

1. Supervised Machine Learning
2. Unsupervised Machine Learning
3. Comparison: Supervised vs Unsupervised Learning

1. Introduction to NumPy
2. Working with Arrays, Datatypes, and Matrices
3. N-Dimensional Arrays
4. Indexing and Slicing

1. Introduction to Pandas
2. Data Frames
3. Merging, Joining, and Concatenation

1. Introduction to Matplotlib
2. Drawing plots and visualizations

1. Introduction to Machine Learning
2. Types of Machine Learning
3. Introduction to Data Science
4. Setting up the environment for data science

1. Series, DataFrame, and Panel
2. Basic functionalities
3. Descriptive statistics and data operations

1. Reindexing, iteration, and sorting
2. Working with text data
3. Indexing and selecting data
4. Statistical analysis
5. Aggregations and missing data handling
6. Grouping and merging/joining data
7. Concatenation and date functionalities
8. Comparison with SQL

1. Ndarray object and attributes
2. Creating arrays from existing data
3. Numerical range-based arrays
4. Iterating over arrays and array manipulation
5. string, and mathematical functions
6. Statistical operations
7. Sorting, searching, and counting functions
8. Matrix operations

1. What is Exception?
2. Why exception handling?
3. Syntax error v/s Runtime error
4. Exception codes - AttributeError, Value Error, IndexError, TypeError...
5. Handling exception - try except block
6. Try with multi except
7. Handling multiple exceptions with single except block
8. Finally block
9. Try-except-finally
10. Try with finally
11. Case study of finally block
12. Raise keyword
13. Custom exceptions / User defined exceptions
14. Need to Custom exceptions
15. Case studies

1. Understanding regular expressions
2. String v/s Regular expression string
3. "re" module functions
4. Match()
5. Search()
6. Split()
7. Findall()
8. Compile()
9. Sub()
10. Subn()
11. Expressions using operators and symbols
12. Simple character matches
13. Special characters
14. Character classes
15. Mobile number extraction
16. Mail extraction
17. Different Mail ID patterns
18. Data extraction
19. Password extraction
20. URL extraction
21. Vehicle number extraction
22. Case study

1. Introduction to files
2. Opening file
3. File modes
4. Reading data from file
5. Writing data into file
6. Appending data into file
7. Line count in File
8. CSV module
9. Creating CSV file
10. Reading from CSV file
11. Writing into CSV file
12. Object serialization - pickle module
13. XML parsing
14. JSON parsing

1. How to use Date & Date Time class
2. How to use Time Delta object
3. Formatting Date and Time
4. Calendar module
5. Text calendar
6. HTML calendar

1. Introduction to GUI programming
2. Tkinter module
3. Tk class
4. Components / Widgets
5. Label, Entry, Button, Combo, Radio
6. Types of Layouts
7. Handling events
8. Widgets properties
9. Case studies