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"metadata": {},
"source": [
"# Genetic Algorithms\n",
"In this section, we are going to use the library DEAP [References](#References) for implementing a genetic algorithms.\n",
"In this section, we are going to use the library [DEAP](https://github.com/DEAP/deap/tree/master) for implementing a genetic algorithms.\n",
"\n",
"We are going to implement the OneMax problem as seen in class.\n",
"\n",
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"source": [
"## Optional. Optimizing an ML pipeline with a genetic algorithm\n",
"\n",
"The library [TPOT](#References) optimizes ML pipelines and comes with a lot of [examples](https://epistasislab.github.io/tpot/examples/) and even notebooks, for example for the [iris dataset](https://github.com/EpistasisLab/tpot/blob/master/tutorials/IRIS.ipynb).\n",
"The library [TPOT](https://epistasislab.github.io/tpot/latest/) optimizes ML pipelines and comes with a lot of [examples](https://epistasislab.github.io/tpot/examples/) and even notebooks, for example for the [iris dataset](https://github.com/EpistasisLab/tpot/blob/master/tutorials/IRIS.ipynb).\n",
"\n",
"Your task is to apply TPOT to the intermediate challenge and write a short essay explaining:\n",
"* what TPOT does (with your own words).\n",