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Mastering Python – Machine Learning with Data Science 🏷️

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Price: 35,000
2 Months
0 Lessons

Mastering Python Course

Mastering Python  for Machine Learning (with Data Science)


Python is an interpreted high-level programming language for anyone want to use only Python in designing any Machine Learning (IoT) project. Machine learning, in layman terms, is to use the data to make a machine make intelligent decision. The Python Programming – course teaches Python programming, which is a powerful open-source language that is very popular in the fields of data analysis, finance and web development.

Python is a popular data science programming language because of its simple syntax and intuitive features. This also makes it the perfect choice for beginner programmers. It offers a host of robust tools and libraries that make it easy to process data and produce business intelligence

Python Mastering Course Learning Summary 

The students will learn to use various standard libraries in the Python ecosystem such as Pandas, NumPy, Matplotlib, Scikit- to tackle different stages of a data science project such as extracting data, cleaning and processing data, building and evaluating machine learning model. After the completion of the course, the students will have a clear understanding of data science projects and have the knowledge to apply various Python libraries to create a data science solution.

This course is designed for both beginners without programming experience or experienced developers looking to make the start to Data Science career!

Course Modules

Python Fundamentals 

  • Introduction to Python
  • Variables, Strings, Numbers
  • Math Operators, Built-in functions
  • Lists, List Indexing and Slicing, List Methods
  • Tuples, Dictionaries
  • User Input, Conditions
  • Custom Functions
  • Working with Files, Processing the content of a file

Working with Loops and Packages

  • For Loop, While Loop
  • String Formatting
  • Modules, Libraries and Packages
  • Installing Python Packages
  • Working with Date and Time objects
  • The “with” Contect Manager

Dealing with Programming Errors

  • Syntax Errors
  • Runtime Errors
  • Exception Handling in Python

Data Analysis with Pandas

  • Getting Started with Pandas
  • Loading Data in Python from CSV, Excel, TXT and JSON Files
  • Indexing and Slicing Dataframes
  • Dropping Dataframe Columns and Rows
  • Updating and Adding new Columns and Rows

Python – Machine Learning & Data Science – I

  • NumPy with Python
  • Using pandas Data Frames to solve complex tasks
  • Use pandas to handle Excel Files
  • Web scraping with python
  • Connect Python to MongoDB

Python – Machine Learning & Data Science – II

  • Use matplotlib and seaborn for data visualizations
  • Use plotly for interactive visualizations

Python – Machine Learning & Data Science – III

  • Python – Machine Learning with SciKit Learn, including
  • Linear Regression

Python – Machine Learning & Data Science -IV

    • Introduction to MongoDB
    • Design MongoDB database from start to finish
    • Differentiate between RDBMS and NoSQL databases
    • Spot key features and advantages of NoSQL database MongoDB over RDBMS databases
    • Installing MongoDB
    • Working on pyMongo
    • MongoDB Learn performing CRUD Operations

Who Should Attend the Python Training

  • Data Scientists / Data Analyst
  • Computer Programmers / Software Engineers to acquire Python scripting skill
  • System / Network Administrators who want to automate their day to day tasks using Python
  • Database Admin, database programmers / Web Developers
  • Fresh Graduates looking for their first job
  • Automation Engineers willing to make career in Machine Learning / IoT

🎥 Your FREE eLEARNING Courses (Click Here)

♋ Python Virtual Environments Download

📖 Certified Associate in Python Programming Exam Practise Test

International Student Fee: 250 USD | 940 AED | 940 SAR

Job Interview Preparation  (Questions & Answers)

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Flexible Classes Schedule

Online Classes for out of city / country students

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FREE Practice Exam

Internships Available

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