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In this project, I have developed a Machine Learning model to predict whether users will click on ads. By analyzing various characteristics of users who click on ads, we can gain valuable insights and optimize ad campaigns for better engagement.

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cross-validation-score decisiontreeregressor linearregression matplotlib-pyplot notebook-jupyter numpy pandas python random-forest-regression sklearn

ads-click-through-rate's Introduction

💫 About-Rahul

  • A Data Analyst trained in analyzing data to identify trends, patterns, and areas for improvement with extensive experience of Python,SQL, Advanced Excel, Tableau.
  • An adherent of Data Driven approach with hands-on experience in Python & ML algorithms and possessing proficient knowledge of Linear Algebra, Advanced Statistics.

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Python R Django Flask MySQL MicrosoftSQLServer NumPy Keras Pandas Plotly scikit-learn TensorFlow

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