MachineLearningIsEasy

## Рек системы и факторизация матриц.ipynb

      
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                MachineLearningIsEasy
                / Рек системы и факторизация матриц.ipynb
            
            
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              May 5, 2022 20:46
            
          
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## Коллаборативная фильтрация.ipynb

      
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              April 11, 2022 20:50
            
          
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## Основные возможности библиотеки Plotly.ipynb

      
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              April 4, 2022 09:05
            
          
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## Основные возможности библиотеки Seaborn.ipynb

      
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              April 4, 2022 09:03
            
          
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## Анализ датасета с помощью Matplotlib.ipynb

      
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                / Анализ датасета с помощью Matplotlib.ipynb
            
            
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              April 2, 2022 12:47
            
          
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## Примеры использования библиотеки Matplotlib.ipynb

      
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                / Примеры использования библиотеки Matplotlib.ipynb
            
            
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              April 2, 2022 12:43
            
          
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## mlflow_models.ipynb

      
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              November 29, 2021 12:45
            
          
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## mlflow_tracking_example.ipynb

      
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              Created
              November 13, 2021 13:24
            
              
                Mlflow tracking simple example
              
          
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## flask_model_api.py
from flask import request, Flask
import json
import pickle

app = Flask(__name__)


@app.route('/', methods=['GET', 'POST'])
def main_flask_function():
    if request.method == 'GET':

## flask_requests
from flask import request, Flask
import json


app = Flask(__name__)


@app.route('/', methods=['GET', 'POST'])
def main_flask_function():
    if request.method == 'POST':
	from flask import request, Flask
	import json
	import pickle

	app = Flask(__name__)


	@app.route('/', methods=['GET', 'POST'])
	def main_flask_function():
	if request.method == 'GET':