Hi, and Welcome to my GitHub Blog. 
\( *^ω^*)/ ヤッター!
All of my posts here are the memo from my self-study courses, articles, and books. I hope that some of these will help you along in your own journey of learning data science.
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Thank you! (´・ω・`)ゞ アリガトウ ヨロシク♪.
 

Posts
  
  
  
  
  
  
  
  
 
  
   
  
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        - In this first chapter, you will get exposure to the Kaggle competition process. You will train a model and prepare a csv file ready for submission. You will learn the difference between Public and Private test splits, and how to prevent overfitting. - Aug 3, 2022 
 
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        - Chapter 4 - Using XGBoost in pipelines - May 25, 2022 
 
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        - Chapter 3 - Fine-tuning your XGBoost model - May 21, 2022 
 
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        - Chapter 2 - Regression with XGBoost - May 20, 2022 
 
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        - Chapter 1 - Classification with XGBoost - May 18, 2022 
 
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        - Use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio. - Apr 21, 2022 
 
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        - Churn is when a customer stops doing business or ends a relationship with a company. It’s a common problem across a variety of industries, from telecommunications to cable TV to SaaS, and a company that can predict churn can take proactive action to retain valuable customers and get ahead of the competition. - Apr 21, 2022 
 
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        - You will explore the market capitalization of Bitcoin and other cryptocurrencies. - Apr 20, 2022 
 
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        - You will explore the market capitalization of Bitcoin and other cryptocurrencies. - Apr 19, 2022