Light talk about introduction to machine learning
All python dependencies are inside requirements.txt file. Short sum up of what's included:
jupyteris a notebook we will use to nicely and interactivelly play with our codepandasis a base library for data manipulation, it includesnumpywhich is a math librarymatplotlibis basic chart library.seabornis a wrapper with high level APIscikit-learnin short sklearn, is a simple data analysis tool with machine learning capabilitieskerasis atensorflow 2based library, used for deep learning machine learning algorithms
We use docker to run the project so we do not need to worry about python environment etc..
It is based on python base image, and includes tini to make jupyter notebook work through docker.
Simple makefile setup for building and running our docker setup locally.
Taken from https://www.kaggle.com/aleksandrglotov/car-prices-poland?select=Car_Prices_Poland_Kaggle.csv
- Numpy: https://numpy.org/doc/stable/reference/
- Pandas: https://pandas.pydata.org/docs/user_guide/index.html
- Scikit Learn: https://scikit-learn.org/stable/getting_started.html
- Keras: https://keras.io/getting_started/
- Seaborn: https://seaborn.pydata.org/
- kaggle: https://www.kaggle.com/
- medium/towardsdatascience: https://towardsdatascience.com/
- datacamp: https://datacamp.com
- statquest yt: https://www.youtube.com/c/joshstarmer
- Linear regression: https://i.stack.imgur.com/zoYKG.png
- Logistic regression: https://miro.medium.com/max/725/0*tLu8lvAEomHZm2YK.png
- Random forest: https://static.javatpoint.com/tutorial/machine-learning/images/random-forest-algorithm2.png
- Classification scoring metrics: https://www.researchgate.net/publication/336849041/figure/fig2/AS:818957984468994@1572266207473/Confusion-matrix-and-classification-metrics-terminology.ppm
- Overfitting / underfitting: https://datascience.foundation/img/pdf_images/underfitting_and_overfitting_in_machine_learning_image.png
- Neural network: https://1.cms.s81c.com/sites/default/files/2021-04-15/ICLH_Diagram_Batch_01_03-DeepNeuralNetwork-WHITEBG.png
- Neural network example: https://pbs.twimg.com/media/ELEHKR8UEAAsIHt.jpg
- Activation functions: https://qph.fs.quoracdn.net/main-qimg-65a7c3bf75549bad04875d0e789bb5bf