Core data science and Machine Learning skills with NumPy, SciPy, Pandas, Matplotlib, Random and Ufunc.
Sub Category
- Data Science
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Objectives
- Creating Arrays
- Array Indexing
- Data Types
- Random Data Distribution
- Binomial Distribution
- Logistic Distribution
- ufunc Simple Arithmetic
- ufunc Rounding Decimals
- ufunc Greatest Common Denominator
- Pandas Series
- Pandas Data Frames
- Pandas Analyzing Data Frames
- SciPy Sparse Data
- SciPy Graphs
- SciPy Spatial Data
- SciPy Statistical Significance Tests
- Matplotlib Plotting
- Matplotlib Markers
- Matplotlib Plot Labels & Titles
- Matplotlib Histograms
- Matplotlib Pie Charts and More......
Pre Requisites
- No prior coding experience is required.
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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