| 1. Anscombe.json.mp4 | 158.7 MB | ||
| 1. Anscombe.json.srt | 26 KB | ||
| 1. Course Overview.mp4 | 30.9 MB | ||
| 1. Course Overview.srt | 21.7 KB | ||
| 1.1 Course Overview.html | 204.8 B | ||
| 1.1 Jupyter Notebook of Anscombe.json.html | 102.4 B | ||
| 2. California House Prices.mp4 | 216.7 MB | ||
| 2. California House Prices.srt | 34.3 KB | ||
| 2. Introduction to Google Colab.mp4 | 168.8 MB | ||
| 2. Introduction to Google Colab.srt | 29.7 KB | ||
| 2.1 A Jupyter Notebook that uses machine learning on California House Prices..html | 102.4 B | ||
| 3. Introduction to Python.mp4 | 209.6 MB | ||
| 3. Introduction to Python.srt | 38.7 KB | ||
| 3. MNIST.mp4 | 243.3 MB | ||
| 3. MNIST.srt | 33.7 KB | ||
| 3.1 A Jupyter Notebook of machine learning on the MNIST dataset..html | 102.4 B | ||
| 3.1 Introduction to Python.html | 102.4 B | ||
| 4. Exploratory Data Analysis COV19.mp4 | 269.6 MB | ||
| 4. Exploratory Data Analysis COV19.srt | 38 KB | ||
| 4.1 A Jupyter Notebook of the COV19 dataset.html | 102.4 B | ||
| 4.2 A Jupyter Notebook of the World statistics on COV19.html | 102.4 B | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 23 total files | |||
Use Google Colab to Learn Python Programming
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 7 lectures (3h 33m) | Size: 901.5 MB
by using datasets already installed in the program
What you'll learn:
Learn how to use Google Colab, which is a free online Jupyter Notebook
Learn the basics of Python programming
Learn about json files and how to load and read them into Google Colab
Learn about csv datasets and how to load them and read them into Google Colab
Learn about machine learning by making predictions on house prices
Learn about explatory data analysis by studying COV19 statistics
Requirements
Basic IT skills
No programming experience needed
Description
This course is designed to teach students the basics of Google Colab and programming in Python within that environment. The student will be taken through finding Google Colab in the search engine, going through the functions in the platform, opening a new Jupyter Notebook, and writing a small program.
The student will then have a small lesson in programming in Python to prepare him for writing his own programs. After the student has learned the basics of programming in Python, he will be shown the datasets that are already stored in the Google Colab directory. These datasets are:-
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