
"It was really fun, I made new friends and I learnt a lot about how to code and solve problems."
Purav, Teen Java Programmer
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In this course picker times will be displayed in timezone chosen above but all times shown elsewhere will reflect the UK Times these events take place.
NEW! From decision trees to neural networks, this course will equip you with the tools to create and manipulate Machine Learning models using Python and Google Collab.
Learn all about the different types of Machine Learning models and how they they each work. We'll look at Decision Trees, K-nearest Neighbour and Naive -Bayers
You'll learn how to use python in Google Collab to integrate data using different models as well as importing different modules into python
Using external and internal data sources we'll show you how to make predictions using machine learning. This is one of the most powerful things you can do with Machine Learning
Programme Leaders have a strong background in education coupled with technical expertise in the area they teach. They are supported by Camp Tutors, who are most frequently talented Computer Science …
Programme Leaders have a strong background in education coupled with technical expertise in the area they teach. They are supported by Camp Tutors, who are most frequently talented Computer Science and Engineering students from the UK's leading universities.
All our instructors undergo in-person training from the Fire Tech team in the curriculum of the course they are teaching, in the Fire Tech mission and values, and in our Child Safety Policies. We select our instructors on technical expertise but also for great communication skills and a real passion for their subject.
Join this course and learn all about Machine Learning and the amazing things it can do.
We’ll show you how to use Google Collab to make Machine Learning projects. You will also be shown TensorFlow, SciKit Learn, importing Python modules and tKinter to create graphical projects.
Topics covered will include:
This course will address principles of Artificial Intelligence but won’t go into detail of how to implement it into projects. If you want to learn about A.I please look at our Senior Adventures in A.I course here.
10:00 AM
Lesson starts
11:00 AM
Break
11:15 AM
Lesson continues
12:15 PM
Lunch
1:15 PM
Lesson continues
2:00 PM
Break
2:15 PM
Lesson continues
3:00 PM
End of day
Leszek studies Electronic and Information Engineering at Imperial College London and teaches our coding courses. He loves using his STEM skills to bring people together and recently created an Imperial college fantasy football app that connects 200 players together.
View Coding Courses >>"It was really fun, I made new friends and I learnt a lot about how to code and solve problems."
Purav, Teen Java Programmer