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Data Science and Machine Learning in Python

Before we begin

Installation
Data
Project
About the Author

Data Handling

Data Loading
Dealing with huge datasets
Combining data sources

Data Cleaning

Dealing with missing values
Formatting and deduping data
Scaling and binning data
Advanced Strategies
- Advanced Strategies (Schemas)
- Advanced Strategies (Encoding)

Exploratory Data Analysis

Automatic EDA
Visualizing the data for EDA
Using descriptive statistics
Selecting subsets
Finding and understanding relationships in data

Machine Learning

Machine Learning Modelling
Machine Learning Evaluation

Data Visualization

Basics of data visualization
Visualizing geospatial data

Reporting & Presentations

Exporting Visualizations and data
How to Save Presentations in Jupyter
Generating PDF in Jupyter

Resources

Skillshare Course
All courses
Jesper Dramsch

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By Jesper Dramsch

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Terms & Privacy Policy | Maintained by Jesper Dramsch, creator of PythonDeadlin.es; ML.recipes, Late to the Party 🎉 and the Latent Space Community. Find the videos in the Skillshare course.