Data scientist? Here are the python libraries that you should be bffs with.
NumPy, short for Numerical Python, is an open source package for scientific computing and data analysis. NumPy serves as the foundation of Python’s scientific computing stack. Among the features of NumPy is ndarray, or N-dimensional array object, which is a flexible storage for data sets in Python. It also contains tools for integrating C/C++ and has capabilities for random number generation and Fourier transform.
NumPy is often preferred over regular Python lists for a variety of reasons. It is seen to be convenient, owing to its many free vector and matrix operations. Data structures in NumPy also takes up less space and performance in terms of speed is better, as well.Embaucher des NumPy Specialists
Hi I have U-net model working fine in Keras and tensor flow, I need someone to modify the way I read the images. the one I have now is reading images and mask from different directory (image folder and mask folder), my new images are in same directory saved as numpy fils and image and it is mask saved in same file with different channels, more details will provide in chat
We are looking for someone who are passionate to build courses for students on Practical Data Analytics. An ideal candidate should have experiences in teaching these topics in any education institution, bootcamps or coding school. The deliverable of this project would include: 1. Notes and Slides 2. Video Recording 3. Practice Assignments with suggested solutions and guidelines 4. Projects with suggested solutions with suggested solutions and guidelines The course should cover the topics below: 1. Math and Statistics Foundations - Probability - Descriptive statistics - Confidence interval, hypothese testing - scientific method - Distributions 2. Introductions to Data Analytics - Data Analytics Process - Hands-on project and exercises with SQL and BigQuery - Data Cleaning (normalization...