Description
Overview:
Welcome to the “Machine Learning with Python Course”! This course is designed to provide a comprehensive introduction to machine learning using Python, one of the most popular programming languages for data science and machine learning. With the increasing demand for machine learning skills across various industries, this course will equip you with the knowledge and tools needed to build and deploy machine learning models using Python.
Interactive video lectures by industry experts
Instant e-certificate and hard copy dispatch by next working day
Fully online, interactive course with Professional voice-over
Developed by qualified first aid professionals
Self paced learning and laptop, tablet, smartphone friendly
24/7 Learning Assistance
Discounts on bulk purchases
Main Course Features:
Thorough coverage of machine learning concepts, algorithms, and techniques
Hands-on projects and coding exercises to reinforce learning
Exploration of popular machine learning libraries such as scikit-learn and TensorFlow
Implementation of supervised and unsupervised learning algorithms for classification, regression, and clustering tasks
Guidance on data preprocessing, feature engineering, and model evaluation
Real-world case studies and examples to illustrate machine learning applications
Access to resources and tools for building, testing, and deploying machine learning models
Supportive online community for collaboration and assistance throughout the course
Who Should Take This Course:
Aspiring data scientists and machine learning enthusiasts looking to start their journey in machine learning with Python
Programmers and developers interested in expanding their skill set to include machine learning for data analysis and prediction
Students and professionals seeking to enhance their career prospects with machine learning expertise
Learning Outcomes:
Understand fundamental machine learning concepts and techniques
Implement machine learning algorithms and models using Python
Perform data preprocessing, feature engineering, and model evaluation
Develop predictive models for classification and regression tasks
Apply unsupervised learning algorithms for clustering and dimensionality reduction
Deploy machine learning models in real-world applications
Debug and optimize machine learning models for improved performance
Stay updated with the latest advancements and trends in machine learning with Python.
Certification
Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Assessment
At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.
Curriculum
Section 01: Introduction
Section 02: Numpy Library
Section 03: Matplotlib
Section 04: Polynomial Regression
