Python Libraries for Data Science
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.
Ansæt NumPy SpecialistsI have a project on flask python and VueJs. 70% work is already done you have to work from where it left
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...
We are lookin for expert , who can help to develop a model , which can predict anomaly for 1000 nodes on the basis of performance indicators.
Hello Dev, I want to develop a web application, where user (myself) will input certain parameters and on submit all defined information is to be displayd. Its much than it seems, but challenging and fun too. We are going to test efficiency of varios algorithms using this WebApp by using stock exchange broker apis for historical datas. And show case the performance algo and how it performed on previous years and so. Much like STREAK ALGO TRAGING Platform. but luckily Iam the only user for my analysis purposes I am working on this project. More details connect with me.
Data scientist? Here are the python libraries that you should be bffs with.
This article is a guide for anyone interested in using machine learning frameworks in their organization.
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