Machine Learning Syllabus
We curriculum designers for Machine Learning Deep Dive,
wanted two things:
-
to provide you with expertise and confidence in building machine learning solutions to real problems.
-
to help you start your machine learning career with a significant portfolio of finished products. We believe that a personal brand that shows your growth and possibilities as a professional is the single most decisive ingredient for your future success.
We want to make sure the course fits your current level, while at the same time pushing you to the next level. It’s a delicate equilibrium that we achieve through (1) practical courses, (2) guided projects and (3) lectures that introduce you to cutting edge Machine Learning.
ADVANCED PYTHON and PYDATA STACK
Going deeper into Python and the Pydata stack A taste of linear algebra in numpy/pytorch Setting up a working environment Pandas
[ 32 hours ]
ENSURING EVERYTHING IS RIGHT
Data exploration and Testing
Enforcing constraints with engird
Automatic feature extraction with feature tools
[ 8 hours ]
FUNDAMENTALS OF MACHINE LEARNING
Understanding a selection of classical machine learning algorithms
Cross-validation, regularization
Data exploration
[ 16 hours ]
LifeTime Support
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Layered Parallax
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Clean & Sleek Design
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LifeTime Support
Nunc in elit nec dolor consectetur sodales. Mauris tellus nulla, hendrerit sit amet porta sit amet.
Layered Parallax
Nunc in elit nec dolor consectetur sodales. Mauris tellus nulla, hendrerit sit amet porta sit amet.
Clean & Sleek Design
Nunc in elit nec dolor consectetur sodales. Mauris tellus nulla, hendrerit sit amet porta sit amet.
ADVANCED PYTHON and PYDATA STACK
Going deeper into Python and the Pydata stack A taste of linear algebra in numpy/pytorch Setting up a working environment Pandas
[ 32 hours ]
ENSURING EVERYTHING IS RIGHT
Data exploration and Testing
Enforcing constraints with engird
Automatic feature extraction with feature tools
[ 8 hours ]
FUNDAMENTALS OF MACHINE LEARNING
Understanding a selection of classical machine learning algorithms
Cross-validation, regularization
Data exploration
[ 16 hours ]
LifeTime Support
Nunc in elit nec dolor consectetur sodales. Mauris tellus nulla, hendrerit sit amet porta sit amet.
Layered Parallax
Nunc in elit nec dolor consectetur sodales. Mauris tellus nulla, hendrerit sit amet porta sit amet.
Clean & Sleek Design
Nunc in elit nec dolor consectetur sodales. Mauris tellus nulla, hendrerit sit amet porta sit amet.
LifeTime Support
Nunc in elit nec dolor consectetur sodales. Mauris tellus nulla, hendrerit sit amet porta sit amet.
Layered Parallax
Nunc in elit nec dolor consectetur sodales. Mauris tellus nulla, hendrerit sit amet porta sit amet.
Clean & Sleek Design
Nunc in elit nec dolor consectetur sodales. Mauris tellus nulla, hendrerit sit amet porta sit amet.
Special Qualities
Our Skills
WordPress - 80%
Photoshop - 65%
After Effects - 85%
HTML & CSS - 70%
Works
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Natural Language Processing
- Required Projects

Computer Vision Project
- Required Projects
Our Blog
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Contact
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