https://github.com/adamelliotfields/datacamp
DataCamp notebooks 🏕️
https://github.com/adamelliotfields/datacamp
datacamp jupyter python
Last synced: 4 months ago
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DataCamp notebooks 🏕️
- Host: GitHub
- URL: https://github.com/adamelliotfields/datacamp
- Owner: adamelliotfields
- Created: 2023-09-08T00:55:12.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2025-02-03T23:33:03.000Z (over 1 year ago)
- Last Synced: 2025-04-03T05:11:52.322Z (about 1 year ago)
- Topics: datacamp, jupyter, python
- Language: Jupyter Notebook
- Homepage: https://datacamp.com/portfolio/adamelliotfields
- Size: 31.8 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
- Codeowners: codeowners
Awesome Lists containing this project
README
datacamp
[DataCamp](https://www.datacamp.com) notebooks.
## Installation
For [dtreeviz](https://github.com/parrt/dtreeviz), you need [Graphviz](https://graphviz.org):
```sh
# mac
brew install graphviz
# linux
sudo apt install graphviz
```
For [PyICU](https://gitlab.pyicu.org/main/pyicu), you need the C library:
```bash
# mac
brew install pkg-config icu4c
export PKG_CONFIG_PATH="$(brew --prefix icu4c)/lib/pkgconfig"
# linux
sudo apt install libicu-dev
```
For [TA-Lib](https://ta-lib.org), you need the C library:
```sh
# mac
brew install ta-lib
# linux
wget https://github.com/TA-Lib/ta-lib/releases/download/v0.4.0/ta-lib-0.4.0-src.tar.gz
tar -xvf ta-lib-0.4.0-src.tar.gz
cd ta-lib
./configure --prefix=/usr
make
sudo make install
```
Then you can install with pip:
```sh
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
# optional
pip install -r requirements_*.txt
```
## Usage
Each notebook can be run directly in [Colab](https://colab.research.google.com). Any required data files will be fetched remotely. Or you can just run them locally in VS Code or JupyterLab.
## Contents
* [Python Programming](./notebooks/python/readme.md)
* [Data Engineering](./notebooks/data_engineering/readme.md)
* [Data Science](./notebooks/data_science/readme.md)
* [Machine Learning](./notebooks/machine_learning/readme.md)
* [Deep Learning (TensorFlow)](./notebooks/deep_learning_tensorflow/readme.md)
* [Natural Language Processing](./notebooks/nlp/readme.md)
* [Time Series](./notebooks/time_series/readme.md)
* [Finance](./notebooks/finance/readme.md)
* [Projects](./notebooks/projects/readme.md).