3 Healthcare Projects for all levels
Sub Category
- Data Science
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Objectives
- Machine Learning Practical Applications
- Deep Learning Practical Applications
- In-Depth understanding of Exploratory Data Analysis
- Data Visualizations using matplotlib and seaborn
- In-Depth understanding of Model Development
- Application of ROC, AUC, F1-Score etc for Model Evaluation
- Working with Python libraries like numpy, pandas, sklearn etc
- Working with Tensorflow framework and Keras Library
- Developing Machine Learning Pipelines using PyCaret Library in python
- Creating UI and Local Deployment using Streamlit in Python
Pre Requisites
- Knowledge of Data Science
- Python Skills
- Machine Learning Skills
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)