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আগামী ৩০ সেপ্টেম্বর থেকে Professional web Design and Development with HTML, CSS, JAVASCRIPT, PHP, MySQL, JQUERY and AJAX কোর্স এর ৯৪ তম ব্যাচ এবং ২৭ সেপ্টেম্বর থেকে Zend (PHP 7.1) Certified PHP Engineering (ZCPE) কোর্স এর ৪৪ তম ব্যাচ শুরু হতে যাচ্ছে। সীমিত সংখ্যক আসন বাকি আছে। আগ্রহীদেরকে অতিসত্বর মাসুদ আলম স্যার এর সাথে যোগাযোগ করার জন্য অনুরোধ করা যাচ্ছে। স্যার এর মোবাইল নম্বর : ০১৭২২ ৮১ ৭৫ ৯১

Python Beginning To Advance With Machine Learning And Data Science

Python Beginning To Advance With Machine Learning And Data Science

Python Beginning To Advance With Machine Learning And Data Science

This course will teach you everything from Python Beginner to Advanced. This course will also teach you how to use Python and how to apply data science methods and gain the necessary data analysis skills and ideas related to Python programming. Basically, you will be an expert in Core Python here. Get a good idea about machine learning and data science. In this way, you can go to any track in the future according to the demand. The tracks are:

  1. Web or software development
  2. Cyber ​​security
  3. DevOps
  4. Machine learning and data science.

Python Beginning To Advance With Machine Learning And Data Science Course Curriculum

1. Introduction

  • Python Installation and Environment Setup
  • Keywords and Identifiers
  • Statements & Comments
  • Python Variables
  • Python Data Types
  • Python Type Conversion
  • Python I/O and import
  • Python Operators
  • Python Namespace

2. Python Flow Control

  • Python if…else
  • Python for Loop
  • Python while Loop
  • Python break and continue
  • Python Pass

3. Python Functions

  • Function Argument
  • Python Recursion
  • Anonymous Function
  • Global, Local and Nonlocal
  • Python Global Keyword
  • Python Modules
  • Python Package

4. Python Data Types

  • Python Numbers
  • Python List
  • Python Tuple
  • Python String
  • Python Set
  • Python Dictionary

5. Python Files

  • Python File Operation
  • Python Directory
  • Python Exception
  • Python Exception Handling
  • Python User-defined Exception

6. Python Object & Class

  • Python OOP
  • Python Class
  • Python Inheritance
  • Multiple Inheritance
  • Operator Overloading

7.Python Advanced Topics

  • Python Iterator
  • Python Generator
  • Python Closure
  • Python Decorators
  • Python Property
  • Python RegEx
  • Python Math
  • Python JSON
  • Python PIP

8.Python Date & Time

  • Python datetime Module
  • Python datetime.strftime()
  • Python datetime.strptime()
  • Current date & time
  • Get current time
  • Timestamp to datetime
  • Python time Module
  • Python time.sleep()
  • Python Modules

9.Mathmetical Computing with Python Numpy

9.1 NumPy Arrays

  • NumPy Creating Arrays
  • NumPy Array Indexing
  • NumPy Array Slicing
  • NumPy Data Types
  • NumPy Copy vs View
  • NumPy Array Shape
  • NumPy Array Reshape
  • NumPy Array Iterating
  • NumPy Array Join
  • NumPy Array Split
  • NumPy Array Search
  • NumPy Array Sort
  • NumPy Array Filter

9.2 NumPy Random

  • Data Distribution
  • Random Permutation
  • Seaborn Module
  • Normal Distribution
  • Binomial Distribution
  • Poisson Distribution
  • Uniform Distribution
  • Logistic Distribution
  • Multinomial Distribution
  • Exponential Distribution
  • Chi Square Distribution
  • Rayleigh Distribution
  • Pareto Distribution
  • Zipf Distribution

9.3 NumPy ufunc

  • ufunc Introduction
  • ufunc Create Function
  • ufunc Simple Arithmetic
  • ufunc Rounding Decimals
  • ufunc Logs
  • ufunc Summations
  • ufunc Products
  • ufunc Differences
  • ufunc Finding LCM
  • ufunc Finding GCD
  • ufunc Trigonometric
  • ufunc Hyperbolic
  • ufunc Set Operations

10.Python Pandas

10.1. Pandas Basic

  • Pandas Introduction
  • Pandas Series
  • Pandas DataFrames
  • Pandas Read CSV
  • Pandas Read JSON
  • Pandas Analyzing Data

10.2 Cleaning Data with Pandas

  • Cleaning Data
  • Cleaning Empty Cells
  • Cleaning Wrong Format
  • Cleaning Wrong Data
  • Removing Duplicates

10.3 Correlations with Pandas

  • Pandas Correlations

10.4 Plotting with Pandas

  • Pandas Plotting

11.Python SciPy

  • SciPy Introduction
  • SciPy Getting Started
  • SciPy Constants
  • SciPy Optimizers
  • SciPy Sparse Data
  • SciPy Graphs
  • SciPy Spatial Data
  • SciPy Matlab Arrays
  • SciPy Interpolation
  • SciPy Significance Tests

Python Matplotlib

  • Python Matplotlib Introduction
  • Python Matplotlib Pyplot
  • Python Matplotlib Plotting
  • Python Matplotlib Markers
  • Python Matplotlib Line
  • Python Matplotlib Labels
  • Python Matplotlib Grid
  • Python Matplotlib Subplot
  • Python Matplotlib Scatter
  • Python Matplotlib Bars
  • Python Matplotlib Histograms
  • Python Matplotlib Pie Charts

Machine Learning with Python

  • Python Mean Median Mode
  • Python Standard Deviation
  • Python Percentile
  • Python Data Distribution
  • Python Normal Data Distribution
  • Python Scatter Plot
  • Python Linear Regression
  • Python Polynomial Regression
  • Python Multiple Regression
  • Python Scale
  • Python Train/Test
  • Python Decision Tree

Python with MySQL

  • Python with MySQL Get Started
  • Create Database with MySQL and Python
  • MySQL Create Table with Python
  • MySQL Insert with Python
  • MySQL Select with Python
  • MySQL Where with Python
  • MySQL Order By with Python
  • MySQL Delete with Python
  • MySQL Drop Table with Python
  • MySQL Update with Python
  • MySQL Limit with Python
  • MySQL Join with Python

Python MongoDB

  • Python with MongoDB Get Started
  • MongoDB Create Database with Python
  • MongoDB Create Collection with Python
  • MongoDB Insert with Python
  • MongoDB Find with Python
  • MongoDB Query with Python
  • MongoDB Sort with Python
  • MongoDB Delete with Python
  • MongoDB Drop Collection with Python
  • MongoDB Update with Python
  • MongoDB Limit with Python