MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 19 Lessons (2h 6m) | Size: 1 GB
Projects in machine learning and data science are the prr way to learn and showcase skills.
These projects can be used to demonstrate tangible skills in freelancing portfolios and job interviews alike. In this instance of the Data Science Portfolio series, we examine Bitcoin data for series prediction.
Stocks, crypto, and bitcoin are financial -series data that can be modelled with different machine learning models. In this class, we go into depth on validation of ML to ensure good performance on future data, exploration, and preparation of data.
Specifically, we will go into applications of these models
SARIMA
Facebook Prophet
Long Short-Term Memory Neural Networks
Deep Learning with Convolutional Neural Networks
Finally, we will even validate these models on the latest data from today to ensure the models perform to our satisfaction.
This class is hands-on and in several sections, I point out possible projects for the student to pursue and start building their own portfolio.
For an in-depth theory treatment of Data Science, see my other classes
Data Science and Business Analytics with Python
The No-Code Data Science Masterclass for Business Analysts & Executives
Of course, none of this is financial advice. This class is about learning to model -series data using financial data as an example. Nothing more.
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