Practical Data Analysis and Visualization with Python

Practical Data Analysis and Visualization with Python

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Practical Data Analysis and Visualization with Python

Practical Data Analysis and Visualization with Python, Data Analytics, Visualization and Data Science for Everyone. Build Machine Learning Models to Solve Day-to-Day Problems

Created by Bekzod Ruzmetov

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What Will I Learn?
  • Understand the logic behind machine learning models without strain
  • Build forecasting models with machine learning
  • Analyze customer satisfaction
  • Analyze bank statements
  • Classify images
  • Learn how to preprocess data
  • Develop classification models
  • Build Fraud Detection models
  • Logistic Regression models
  • k-nearest neighbor models
  • Random Forest Models
  • Support Vector Machines
  • Learn NumPy package
  • Learn Pandas package
  • Learn Scikit-learn
  • Filter and Slice datasets
  • Visualize data with Matplotlib
  • Visualize data with Seaborn
  • Get comfortable creating Pie charts, Donut charts, Bar charts, Line charts, Scatter plots and more
  • Read data from Google Sheets
  • Splitting data into training and test sets
  • Classify objects with Naive Bayes
  • Develop supervised learning models
  • Linear Regression models

Requirements
  • A working computer and endless source of caffeine
  • Windows, Mac or Linux

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