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Complete Data Science with Python: Step by Step Guide (2020)

 

Complete Data Science with Python: Step by Step Guide (2020)

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Complete Data Science with Python: Step by Step Guide (2020), Learn entire Probability and Statistics, Python, Data Gathering and Cleaning, Machine Learning and Data Visualization. “Data is a Precious Thing and will Last Longer than the Systems themselves.”
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What you'll learn

  • Become a well round Data Scientist
  • Python Programming for Data Science
  • Complete working flow of Data Science project
  • Role of Data Scientist in Today's World
  • How to apply Probability concepts to Solve real life problems
  • Collecting Data from API (Application Programming Interface)
  • Collecting Data from JSON
  • Collecting Data from Local file, and CSV and Excel
  • Learn different techniques to clean the data
  • Probability for Data Science - Probability definition, Random Variables, Probability Distribution, Bayes' Theorem
  • Discrete and Continuous Probability Distribution
  • Basic Statistical Concepts for Data Science
  • Learn about Collections in Python
  • What is Machine Learning and its types
  • Machine Learning Models - Simple and Multiple Linear Regression, Advance Linear Regression, Decision Tree, SVM, K-means Clustering
  • Supervised and Unsupervised machine learning models
  • Learn to use the popular library Scikit-learn in your projects
  • Learn to perform Classification and Regression modelling
  • Probability Distributions - Binomial Distribution, Normal Distribution and Poisson Distribution
  • Statistical Concepts - Mean, Mode, Median and Standard Deviation
  • Data Visualization
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