Machine Learning for Absolute Beginners – Level 2
Our Machine Learning for Absolute Beginners – Level 2 course is devised to direct learners on the use of python and pandas library for data science projects on machine learning. Python is one of the most widely used programming language and the most popular programming language for machine learning.
Pandas is a software library written for the Python programming used for data structures and operations for manipulating numerical tables and time series. The course will instruct learners with the theoretical and practical knowledge of applying these programs for data processing works to give a usable and desired form with the help of machine learning.
Applications and websites are using machine learning to recommend users better and convenient products. The scope of machine learning can be used in a huge array of fields ranging from data science, finance, medical research and lots more. As more and more companies are adopting such techniques Machine language skills are likely to create a lot of jobs in the future.
Highlights of Machine Learning for Absolute Beginners – Level 2 Course
- Learn how Python syntax is used for developing data science projects
- Configure and use JupyterLab tool for Jupiter notebooks
- Familiarize with the method of Loading large datasets from files using Pandas
- Discover procedure of Loading and Analysing Tabular Datasets
- Find out how to perform data analysis and exploration
- Perform data cleaning and transformation as a pre-processing step before moving into machine learning algorithms
The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.
You are taught through a combination of
- Video lessons
- Online study materials
How is the course assessed?
To successfully complete the course you must pass an automated, multiple-choice assessment. The assessment is delivered through our online learning platform. You will receive the results of your assessment immediately upon completion.
Will I receive a certificate of completion?
Upon successful completion, you will qualify for the UK and internationally-recognised professional qualification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hardcopy Certificate for £15.
Why study this course
Machine Learning for Absolute Beginners – Level 2 Course is open to all, with no formal entry requirements. Completing this course will open up job opportunities in IT, data science, research analysis, finance, software and app development and so on.
All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and be over the age of 16 to join this course.
|Getting Started with Level 2!|
|Working with a Jupyter Notebook||00:14:00|
|Python Fundamentals for Data Science|
|Variables and Data Types||00:07:00|
|IF and For-Loop Statements||00:07:00|
|Classes, Objects, Attributes, and Methods||00:07:00|
|Libraries for Data Science Projects||00:07:00|
|Exercise #1 – Python Fundamentals||00:01:00|
|Introduction to the Pandas Library|
|Series Data Structure (1D)||00:13:00|
|DataFrame Data Structure (2D)||00:05:00|
|Data Selection in a DataFrame||00:15:00|
|Exercise #2 – Pandas Series and DataFrame||00:01:00|
|Loading Data into a DataFrame|
|Kaggle and the Titanic Dataset||00:06:00|
|Loading a Tabular Data File||00:07:00|
|Adjusting the Loading Parameters||00:13:00|
|Using Summary Statistics||00:05:00|
|The Concept of Methods Chaining||00:05:00|
|Sorting and Ranking||00:03:00|
|Exercise #3 – Data Loading and Analysis||00:01:00|
|Data Cleaning and Transformation|
|Removing Columns or Rows||00:04:00|
|Removing Duplicate Rows||00:09:00|
|Renaming Column Labels||00:04:00|
|Dropping Missing Values||00:08:00|
|Filling-in Missing Values||00:04:00|
|Creating Dummy Variables||00:08:00|
|Exporting Data into Files||00:04:00|
|Exercise #4 – Data Cleaning and Transformation||00:01:00|
No Reviews found for this course.