Campus Institute Data Science Göttingen

Spatial Statistics - Data Collection II: Interview with Kirk A. Moloney

Deep Learning for Natural Language Processing - Context and Neural Networks

Introduction to PyTorch and Deep Learning II - Deep Neural Networks & Training in PyTorch - Lecture

Python Basics 04 - 07/07 Mutable Objects and Arguments

Pandas DataFrame functions - Sorting, Plotting, simple Statistics

Introduction to PyTorch and Deep Learning I - Machine Learning Basics - Lecture

Introduction to PyTorch and Deep Learning III - Deep Learning for NLP (Introduction) - Tutorial

Manage Academic Literature

Python Basics 04 - 04/07 Functions - Non-Keyword and Keyword Arguments

Spatial Statistics - Gopher Mounds II: How Does the Pattern of Disturbance Accumulate Over Time?

Introduction to SciKit - Unsupervised Learning

Spatial Statistics - Statistical Background VII: Qualitative Marks

Academic Writing

Preparing for your Thesis

Spatial Statistics - Seed dispersal X: Programita Analysis - Aggregation of Seed Containing Feces

Spatial Statistics - Statistical Background III: Basics of Spatial Point Pattern Analysis

Spatial Statistics - Statistical Background II: An Interview With Thorsten Wiegand

Spatial Statistics - Statistical Background V: Null Models And Simulation Tests

Spatial Statistics - Data Collection II: Interview with Kirk A. Moloney

Spatial Statistics - Seed Dispersal VII: Association Among Seed Numbers of Pairs of Species

Spatial Statistics - Statistical Background I: About The Lecturer

Python Basics 04 - 03/07 Functions - Positional and Arbitrary Arguments

Python Basics 05 - 02/11 Classes and Multiple Objects

Spatial Statistics - Seed Dispersal III: Objectives of the Study

Python Basics 02 - 06/08 Padding for Strings

Introduction to Pandas - DataFrames

Python Basics 06 - 02/05 Default Values in Functions

Advances in Matplotlib and Pandas - Combining Pandas and Matplotlib

Introduction to Pandas - Setup and getting started

Read Scientific Papers

Advances in Matplotlib - Styling and Customization

Introduction to Numpy - Array operations

Introduction to Numpy - Arrays

Pandas DataFrame functions - Combining Frames

Advances in Matplotlib - Subplots

Deep Learning for Natural Language Processing - Ethics, Bias and Responsible Use of AI

Introduction to Matplotlib - Different Plots

Introduction to Matplotlib - Linegraphs

Spatial Statistics - Statistical Background VIII: Quantitative Marks

Introduction to SciKit - Supervised Learning