Python Machine Learning with Data Science
Python is an interpreted high-level programming language for anyone who wants to create Machine Learning (IoT) projects entirely in Python. It is a sophisticated open-source language that is widely used in the disciplines of data analysis, finance, and web development. High-level level programming language is straightforward to learn and understand anobject-orientedented Language. In this Python machine learning online course, you will learn to use Numpy for numerical data, pandas for Data analysis, Matplotlib for Python Plotting, Seaborn for statistical plots, and more.
Summary
Students will learn how to use Pandas, NumPy, Matplotlib, and Scikit-le to tackle various stages of a data science project, such as extracting data, cleaning and processing data, and building and evaluating machine learning models, using standard Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-le. Students will have a comprehensive grasp of data science projects and be able to utilise various Python libraries to construct a data science solution after completing the course.
This course is appropriate for both beginners with no prior programming expertise and experienced developers who want to launch a 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
- 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
- Use matplotlib and seaborn for data visualizations
- Use plotly for interactive visualizations
Python – Machine Learning & Data Science
- Python – Machine Learning with SciKit Learn, including
- Linear Regression
Python – Machine Learning & Data Science
- 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
Python Virtual Environments Download
International Student Fee: 450 USD | 940 AED | 940 SAR
Flexible Class Options
- Corporate Group Training | Fast-Track
- Week End Classes For Professionals SAT | SUN
- Online Classes – Live Virtual Class (L.V.C), Online Training
