Data Science Bootcamp Build & Deploy 45 Real World Projects
Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 48.0 KHz
Language: English | Size: 15.3 GB | Duration: 33h 38m
Learn To Build & Deploy Machine Learning, Data Science, Deep Learning Projects (Python, Flask, Django, Heruko Cloud)
What you’ll learn
Learn to use NumPy for Numerical Data
Understand the full product workflow for the machine learning lifecycle.
Master Machine Learning on Python, Make powerful analysis
Use MatDescriptionlib to create fully customized data visualizations with Python.
Real life case studies and projects to understand how things are done in the real world
Learn to pre process data, clean data, and analyze large data
Construct a modern portfolio of data science and machine learning resume projects.
Learn which Machine Learning model to choose for each type of problem
Machine learning is not like any other technology, but it is in many cases the only technology that can solve certain problems. We need to ensure that all people involved in the project have a common understanding of what is required, how the process works, and that we have a realistic view of what is possible with the tools at hand. To boil down all this to its core components we could consider a few important rules:
create a common ground of understanding, this will ensure the right mindset
state early how progress should be measured
communicate clearly how different machine learning concepts works
acknowledge and consider the inherited uncertainty, it is part of the process
In This Course, Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (NLP) Web Applications Projects With Python (Flask, Django, Heruko, Streamlit Cloud).
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