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ML-For-Beginners/translations/et/2-Regression/3-Linear/notebook.ipynb

128 lines
3.9 KiB

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"## Kõrvitsa hinnakujundus\n",
"\n",
"Laadi vajalikud teegid ja andmestik. Muuda andmed andmeraamiks, mis sisaldab andmete alamhulka:\n",
"\n",
"- Vali ainult kõrvitsad, mille hind on määratud bushel'i järgi\n",
"- Muuda kuupäev kuuks\n",
"- Arvuta hind kõrge ja madala hinna keskmisena\n",
"- Muuda hind, et see kajastaks hinda bushel'i koguse järgi\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"from datetime import datetime\n",
"\n",
"pumpkins = pd.read_csv('../data/US-pumpkins.csv')\n",
"\n",
"pumpkins.head()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
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"source": [
"pumpkins = pumpkins[pumpkins['Package'].str.contains('bushel', case=True, regex=True)]\n",
"\n",
"columns_to_select = ['Package', 'Variety', 'City Name', 'Low Price', 'High Price', 'Date']\n",
"pumpkins = pumpkins.loc[:, columns_to_select]\n",
"\n",
"price = (pumpkins['Low Price'] + pumpkins['High Price']) / 2\n",
"\n",
"month = pd.DatetimeIndex(pumpkins['Date']).month\n",
"day_of_year = pd.to_datetime(pumpkins['Date']).apply(lambda dt: (dt-datetime(dt.year,1,1)).days)\n",
"\n",
"new_pumpkins = pd.DataFrame(\n",
" {'Month': month, \n",
" 'DayOfYear' : day_of_year, \n",
" 'Variety': pumpkins['Variety'], \n",
" 'City': pumpkins['City Name'], \n",
" 'Package': pumpkins['Package'], \n",
" 'Low Price': pumpkins['Low Price'],\n",
" 'High Price': pumpkins['High Price'], \n",
" 'Price': price})\n",
"\n",
"new_pumpkins.loc[new_pumpkins['Package'].str.contains('1 1/9'), 'Price'] = price/1.1\n",
"new_pumpkins.loc[new_pumpkins['Package'].str.contains('1/2'), 'Price'] = price*2\n",
"\n",
"new_pumpkins.head()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Lihtne hajuvusdiagramm tuletab meelde, et meil on kuuandmed ainult augustist detsembrini. Tõenäoliselt vajame rohkem andmeid, et teha järeldusi lineaarsel viisil.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"plt.scatter('Month','Price',data=new_pumpkins)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\n",
"plt.scatter('DayOfYear','Price',data=new_pumpkins)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n---\n\n**Lahtiütlus**: \nSee dokument on tõlgitud AI tõlketeenuse [Co-op Translator](https://github.com/Azure/co-op-translator) abil. Kuigi püüame tagada täpsust, tuleb arvestada, et automaatsed tõlked võivad sisaldada vigu või ebatäpsusi. Algne dokument selle algses keeles tuleks pidada autoriteetseks allikaks. Olulise teabe puhul on soovitatav kasutada professionaalset inimtõlget. Me ei vastuta selle tõlke kasutamisest tulenevate arusaamatuste või valesti tõlgenduste eest.\n"
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