🐸 Python-Basic-for-Machine-learning-

In these Notebooks we will discuss the basics of Python and some other libraries such as numpy,Pandas and tensorflow, then we will discuss linear regression ,images classification and Hand written digits

👀 Note that :

You can open these notebooks with colab or jupter

📚 Cotents

• python basics:
• Lists
• Tuples
• Strings
• Dictionaries:
• Conditional and Looping Statements:
• while Statements
• for Statements
• Loop Nesting
• break and continue
• Functions
• Argument Types
• Common built-in functions
• OS-Related Calling and Functions - sys
• Lambda functions
• Hand on
• python basic 2
• Conditional and Looping Statements Examples
• Types of Arguments
• Keyword argument
• * and ** as Prefix Operators(unpacking operator)
• Object-Oriented Programming basis
• Hands-On
• python basic 3
• Data and Time
• Format Date
• Format Time
• Converting datetime to timestamp
• Converting timestamp to datetime
• Get Calendar of a Month
• Regular Expression (RegEx)
• File Manipulation
• Hands on
• python (Maths basics, numpy)
• Math built in function
• Linear Algebra
• matrices
• Matrix Multiplication
• Matrix Corresponding Operation
• Inverse Matrix Implementation
• Eigenvalue and Eigenvector
• Determinant
• Linear Equation Solving
• python(Pandas)
• Data Structures for Manipulating Data
• Data cleaning
• Linear Regression (Easy)
• Linear Regression [Medium]
• Linear Regression[Difficult]
• Tensorflow
• Img Classification
• Handwritten Digits