Level-3 Machine Learning with Python

Data science is a rapidly growing field that is based on discovering meaning from large sets of structured and unstructured data. This course will teach you the necessary skills and knowledge to move forward in the world of data science and machine learning. In this course, you will learn the basics of Python programming, data manipulation using NumPy, Matplotlib and pandas, and machine learning techniques and algorithms. You will learn how to visualize and present data and pre-process it for data modelling. You will increase accuracy of the model by Spot-checking popular machine learning algorithms and using ensemble techniques and parameter tuning.

Learning Outcomes:

• Learn and understand the fundamentals of Machine Learning
• Set up the system and environment for Machine Learning
• Acquire proficiency in Python programming and data structures
• Master the processing and pre-processing of data for Machine Learning
• Use practical algorithms for Machine Learning
• Compare Machine Learning models and run parameter tuning for performance optimisation.
• Deploy models for real-time predictions

Data Science & Machine Learning with Python is a comprehensive course designed to give you an in-depth understanding of Machine Learning. This interactive course provides a detailed exploration of concepts and applications like classifications and algorithms, system and environment preparation, Python fundamentals, data processing for ML, feature selection, algorithm evaluation, spot checks, comparison of algorithms, parameter tuning and model deployment for predictions. Also, you will understand the importance of Machine Learning in the real world and the various techniques used in ML.

Whether you’re aspiring to be a Machine Learning engineer or just want to explore the field, this course provides you with the right fundamentals. From environment set up to testing the model with practical examples, this course brings you step-by-step through the journey of Machine Learning. By the end of the course, you’ll be able to confidently work on any Machine Learning project.

This course is ideal for anyone who wants to understand Machine Learning concepts including professionals, students, beginners, software engineers and business analysts. This course combines a mix of theoretical concepts, practical applications, and live projects.

So, if you want to gain the knowledge and skills required to build successful machine learning models, start learning now and begin your Machine Learning journey.

This course is ideal for:

• Aspiring data scientists
• Machine Learning engineers
• IT professionals
• Developers
• Students
• Business Analysts

Learners seeking to enrol for the course should meet the following requirements;

• Basic knowledge of English Language, which you have already
• Basic Knowledge of Information & Communication Technologies for studying online or digital platform
• Stable Internet or Data connection in your learning devices

You can explore jobs such as:

• Data Analyst – £20,930 to £45,614
• Machine Learning Engineer – £39,863 to £82,611
• Business Intelligence Analyst – £23,986 to £53,978
• AI/ML Scientist – £39,744 to £71,033
• Data Scientist – £32,121 to £71,000
• Data Architect – £40,005 to £95,245
• Big Data Engineer – £40,320 to £80,325
• Big Data Architect – £49,091 to £119,818

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