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Ben is a CS/Computational Linguistics graduate, ex-Google intern, and python fanatic. In his past academic life his was in a deep learning lab studying character recognition, and a Natural Language Processing lab studying how to automate diagnosis of certain neurodegenerative diseases. Nowadays, he spends his days working as a data scientist, and his nights exploring data his finds online, learning new programming languages, and brewing beer.
This is a class for anyone who wants to get a foundation in python, machine learning and data science. We’re going to learn how to express ideas in python, use popular machine learning frameworks, acquire, maintain, and clean data, and interpret machine learning predictions.
By the end of the class, you’ll be able to: Code in python; Acquire, store, and process datasets; Understand a few of the most popular machine learning models; Know how to use popular machine learning packages; and Make visualizations of your data.
In this lesson, we’ll take a dive into the python programming language. We’ll talk about basic data types (lists, strings, integers), and data flow mechanisms (for loops, if statements). By the end of this lesson, we’ll be able to start solving basic problems with code!
In this lesson, we’ll explore some more advanced python features such as dictionaries, functions, and files. We’ll also start to talk about what machine learning is, and some fundamental concepts related to data analysis.
In this lesson, we’ll learn about some specific machine learning models, and use Scikit Learn to build, train, and evaluate them on a real world dataset.
In this lesson, we’ll continue focusing on training and improving machine learning models, and also chat about how to visualize, explain, and evaluate our models.
Need to pause and think through a concept before moving forward? Go through the classes at your own pace and learn the core concept of Python!
Get practical coding experience through hands-on projects.
Didn't get the concept fully the first time? You can watch and review all prerecorded classes as many time as you'd like, whenever you'd like.
For only $69, you’ll get unlimited access to prerecorded Python courses for beginners. This includes 4 prerecorded classes, 8 hours of Angular 2 courses and hands-on exercises. Enroll to this class and schedule your own class time. Make your learning much easier by doing it at your pace.
You will have access to 4 prerecorded classes, which will ALL be available once you enroll. Each prerecorded class is around 2 hour long. You will get to code along the recordings at your own pace and able to check back on them whenever you like!
The prerecorded classes will be released all at once upon enrollment and will be available indefinitely. You can schedule your time the way you like and even go back to review ALL 4 classes any time!
This is for people how are interested in getting into Machine Learning and Data Science. No prior Python programming experience necessary, but prior knowledge of programming will be useful.