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The objective of this course is to give you a holistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms.
| Certyfikat | |
| Zajęcia | 72 |
| Godziny | 19 |
| Częstotliwość | codziennie |
| Rodzaj szkolenia | online |
| Egzamin wstępny | |
| Sprawdzanie prac domowych | |
| Projekt dyplomowy | |
| Pomoc w zatrudnieniu | |
| Kategoria wiekowa | dla dorosłych |
| Poziom szkolenia | Podstawowe |
| Język | English |
Czego nauczysz się na tym kursie?
- Practical Machine Learning Tutorial with Python Intro
- Regression Intro
- Regression Features and Labels
- Regression Training and Testing
- Regression forecasting and predicting
- Pickling and Scaling
- Regression How it Works
- How to program the Best Fit Slope
- How to program the Best Fit Line
- R Squared Theory
- Programming R Squared
- Testing Assumptions
- Classification w/ K Nearest Neighbors Intro
- K Nearest Neighbors Application
- Euclidean Distance
O YouTube channel Sentdex
Python Programming tutorials, going further than just the basics. Learn about machine learning, finance, data analysis, robotics, web development, game development and more.
I have ~1000 videos, all of which do not fit on the front page. Try searching on the channel page, or via https://pythonprogramming.net. If you cannot find something, just ask!
YouTube channel Sentdex
Python Programming tutorials, going further than just the basics. Learn about machine learning, finance, data analysis, robotics, web development, game development and more.
I have ~1000 videos, all of which do not fit on the front page. Try searching on the channel page, or via https://pythonprogramming.net. If you cannot find something, just ask!