Course Content
Introduction
0/1
Introduction
02:11
Python. PyTesseract OCR. Regular Expression. Array und Function.
0/3
Python. Choosing python IDE. Anaconda. Install Python.
05:37
Scanned PDF files. Convert a pdf document to images using Python.
10:49
Installing Tesseract. User-defined functions in Python
09:04
Regex. Regular Expression in Python.
0/3
Regular Expression in Python. Pattern matching in Python.
09:02
Array und Function in Python. Add data to Array.
13:21
GeoPy – easy to locate the coordinates. Get the latitude and longitude of location
08:52
Kaggle. Kaggle. Jupyter Notebook.
0/2
Kaggle. Jupyter Notebook. Plot data with matplotlib, seaborn, squarify.
10:57
Folium. Mapping in Python. Plot Geographic Data on a Map.
08:56
Github
0/1
GitHub. Desktop GitHub. Store and manage code
07:03
Collect Data. Convert Scanned Documents to Text. Extracting Data from Contracts and Receipts. 📚 10 Lessons

📚 Additional materials on topics covered in the course:

Simple Scatter Plots
https://jakevdp.github.io/PythonDataScienceHandbook/04.02-simple-scatter-plots.html

Delete rows/columns from DataFrame using Pandas.drop()
https://www.geeksforgeeks.org/python-delete-rows-columns-from-dataframe-using-pandas-drop/

Jupyter Notebook: An Introduction
https://realpython.com/jupyter-notebook-introduction/

The Beginner’s Guide to Kaggle
https://elitedatascience.com/beginner-kaggle

🔎 Topics covered in this course:

• Visualize a dataset.

• Run Jupyter notebook using Kaggle.

• Python Treemaps with Squarify and Matplotlib.

• How do you create a TreeMap chart?

• How to Convert Strings to Floats in Pandas DataFrame.

• Replacing strings with numbers in Python

• Plot a DataFrame with matplotlib and seaborn.

Exercise Files
Kaggle_Data_scanned_Pdf.zip
Size: 1.73 KB
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