Machine Learning Immersive
- Beginner
- 18 and older
- 185 Madison Ave, New York, NY
- 35 hours over 5 sessions
Machine Learning Immersive is unfortunately unavailable
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Class Description
Description
In this course, you will learn the fundamentals of Machine Learning and reinforce these concepts by working with real data and building meaningful predictive models.
Afterwards, you will have a portfolio where you can showcase your projects, and the necessary foundation in Machine Learning to continue in a direction that best fits your interests and skillset.
SYLLABUS and CURRICULUM
If you are aspiring programmer, whether beginner or jedi, this course is for new learners on the pursuit to master machine learning concepts.
This course discusses the FUNDAMENTAL principles of machine learning. No prior machine learning experience necessary.
The programming language we’ll be using is Python, the leading language for Machine Learning.
You should already have some experience coding in Python, but you don’t have to be a professional programmer.
If you’re completely new to Python, we offer a Python Immersive course which will give you the tools you need to get started with Machine Learning Immersive.
On the first day, we’ll shore up our fundamentals in Python with a review, and then begin the dive into Machine Learning.
You will learn:
- Review of Python Fundamentals
- Python Libraries: Pandas, Sci-kit learn, and Matplotlib
- Supervised Learning Models (Regression and Classification)
- Unsupervised Models (Clustering)
- Data Cleaning and Standardizing the Data
- Exploratory Data AnalysisFeature Engineering
- Modeling Fundamentals: Train/Test Split, Cross validation, Underfit and Overfit, the Bias-Variance Trade-off
- Interpreting the Results of Machine Learning ModelsPutting your projects on Github (can act as a portfolio)
- Typical studying day starts at 10am with a previous day recap and completing previous exercises.
- Lecture on new topics takes about two hours and starts at 11.00am.
- After lecture, students start working on new exercises with instructor guidance.
- Around 3pm students present and discuss their work with instructors, learn alternative solutions, and best practices from instructors and invited professional programmers.
Prerequisites & Preparation:
- Python Programming 101
- Laptop
Refund Policy
To reschedule or cancel, email us at [email protected]
All courses include a non-refundable registration fee (10% of the undiscounted course price).
- Students may cancel up to 11 business days before the class/program start date and receive a refund, less the registration fee.
- Cancellations within 11 business days are not permitted; however, students may reschedule up to 4 business days before the class start date.
Note: Any refunds must be requested within 180 days from the original payment date; courses rescheduled within 11 business days of the start date are not eligible for refunds.
Reviews of Classes at Practical Programming (330)
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Machine Learning Immersive
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Machine Learning Immersive
The Machine Learning immersive course is a fantastic class for anyone with some fundamental knowledge of Python looking to get into machine learning. The first 2 days of the class focus on Python revisions. On day 3, you start learning about pandas, numpy and matplotlib and get to practice by running a lot of models (both supervised and unsupervised). There is also some introduction to deep learning techniques (neural networks) though there won't be a ton of time to practice it, but at least you'll know what it is. Tim, the instructor is a fantastic teacher - he has a strong handle of the material and takes cues from his class: he will speed up or slow down when it's needed and always make sure everyone in his class is following along. If you're interested in machine learning and have some knowledge of Python, this is the class for you!
See reviews for other classes at Practical Programming
-
Machine Learning Immersive
-
Machine Learning Immersive
The Machine Learning immersive course is a fantastic class for anyone with some fundamental knowledge of Python looking to get into machine learning. The first 2 days of the class focus on Python revisions. On day 3, you start learning about pandas, numpy and matplotlib and get to practice by running a lot of models (both supervised and unsupervised). There is also some introduction to deep learning techniques (neural networks) though there won't be a ton of time to practice it, but at least you'll know what it is. Tim, the instructor is a fantastic teacher - he has a strong handle of the material and takes cues from his class: he will speed up or slow down when it's needed and always make sure everyone in his class is following along. If you're interested in machine learning and have some knowledge of Python, this is the class for you!
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Practical Programming
Practical Programming offers programming classes and workshops for individuals of all skill levels who are interested in learning Python coding. It is suitable for beginners and those looking to start a career in programming or build dynamic web applications using Python.
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