Data Science with Python: Numpy Basics

Related lectures (31)

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Covers excitonic device modeling and exciton control using 2D materials.

Covers Python modules, objects, and data containers like lists and NumPy arrays.

Covers array creation, indexing, manipulation, and broadcasting using NumPy in Python.

Covers data wrangling techniques using Apache Hive for efficient big data management.

Introduces Python basics and NumPy for scientific computing, covering data types, functions, arrays, indexing, and common operations.

Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Introduces data science topics, evaluation methods, and course organization for the semester.