Probability Foundations for Data Science
Learn the fundamentals of Probability and set yourself on the path towards making accurate predictions.
- 1.5 Hours of Video
- Certificate of Completion
- Source Code
- Closed Captions
- On-demand, 24/7 access
- 1.5 hours of video
- Certificate of completion
- Source code and PDF notes
- Closed captions
Probability – the ability to predict the likelihood of an event occurring – is crucial knowledge for anyone interested in data science and analysis. Probability has innumerable applications in a wide variety of fields – including comprising of the core of many machine learning and data science algorithms.
From a basic understanding of Probability fundamentals and common terminology, to understanding conditional probability and Bayes Theorem, this course will provide you with all you need to begin making accurate predictions. Finally, you will apply your knowledge by building a Naïve Bayes Classifier that predicts whether or not a flight will arrive on time using a set of real-world data.
Frameworks and tools covered: Python 3.7, Anaconda 5.3, Pandas 0.23, NumPy 1.15
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