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Making Predictions with Data and Python

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Develop predictive models using Python for accurate data-driven forecasting and decision-making
  • Apply statistical analysis and machine learning techniques to enhance prediction accuracy in real-world datasets
  • Utilize Python libraries like scikit-learn and pandas for data preprocessing, feature selection, and model training
  • Evaluate and optimize predictive models to improve performance and reliability in various business scenarios
  • Implement data visualization tools to interpret and communicate predictive analytics results effectively
  • Integrate predictive analytics into business strategies to support proactive decision-making and strategic planning

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Lessons | 6


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Predictive analytics is the process of using data analytics to make predictions based on data. This process uses data along with analysis, statistics, and machine learning techniques to create a predictive model for forecasting future events.