All current SciPy Courses courses in 2024
5 Courses
Complete Machine Learning & Data Science with Python| ML A-Z
Title: Complete Machine Learning & Data Science with Python| ML A-Z
Description: Master the essentials of machine learning and data science with our comprehensive course on Udemy. Dive into Python essentials like Numpy, Pandas, Matplotlib, and Seaborn, along with advanced topics like Scipy, Supervised & Unsupervised Machine Learning A-Z, and featur.
Udemy
Paid Course
11 hours 14 minutes
On-Demand
Data Science - Master Analytics and become Data Scientist
Title: Data Science - Master Analytics and Become a Data Scientist
Description: Learn Python, RLang, Neural Networks, ANN, Deep Learning - Tools, software like KNIME, Spark, SciPy, Tableau, and others.
University:
Provider:
Categories: Python Courses, Deep Learning Courses, Neural Networks Courses, Data Science Courses, SciPy Courses, K.
Deep Learning Prerequisites: The Numpy Stack in Python (V2+)
Course Provider: Udemy
Enhance your data analysis skills and lay a solid foundation for advanced artificial intelligence applications with this comprehensive course on the Numpy stack. Dive into the practical applications of Numpy, Scipy, Pandas, and Matplotlib to seamlessly transition into the realms of deep learning and machine learning.
Cours.
Complete Machine Learning & Data Science with Python| ML A-Z
Embark on a comprehensive journey into the world of Machine Learning and Data Science with Python. This course offers in-depth knowledge of tools like Numpy, Pandas, Matplotlib, Seaborn, and Scipy.
Through this course, offered by Udemy, participants will gain practical insights into supervised and unsupervised machine learning techniques, along.
Programming for Scientific Research with Python and R
Delve into the world of scientific research using Python and R in this expertly crafted course offered by Udemy. Designed for aspiring scientists and data analysts, this course covers a broad spectrum of topics including data manipulation, visualization with Matplotlib, statistical analysis with SciPy, and comprehensive data handling using NumP.
