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@ -204,11 +204,9 @@
"\n",
"The same exercise (using the digits dataset) can be found in this [notebook](https://github.com/rsteca/sklearn-deap/blob/master/test.ipynb).\n",
"\n",
"Submit a notebook where you include well-crafted conclusions about the exercises, discussing the pros and cons of using genetic algorithms for this purpose.\n",
"Since there is a problem with Scikit version 0.24, you can just comment on the different approaches.",
"\n",
"Note: There is a problem with Scikit version 0.24. Comment on the different approaches.",
"\n",
"You can also use the library [sklearn-genetic-opt](https://sklearn-genetic-opt.readthedocs.io/en/stable/index.html)"
"Alternatively, you can also use the library [sklearn-genetic-opt](https://sklearn-genetic-opt.readthedocs.io/en/stable/index.html) and discuss the digit classification example included in the library."
]
},
{
@ -217,7 +215,7 @@
"source": [
"## Optional. Optimizing an ML pipeline with a genetic algorithm\n",
"\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",
"The library [TPOT](https://epistasislab.github.io/tpot/latest/) optimizes ML pipelines and comes with a lot of [examples](https://epistasislab.github.io/tpot/latest/Tutorial/9_Genetic_Algorithm_Overview/) 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",