Download Udemy – Fantastic Python: Data Science & Machine Learning 2023-10

Download Udemy - Fantastic Python: Data Science & Machine Learning 2023-10

Description

Fantastic Python: Data Science & Machine Learning course. This course in the Fantastic Python series is a complete guide to Python coding and machine learning for beginners and intermediate programmers. You will learn not only Python, but also how to perform data analysis, data visualization, and machine learning (ML) using pandas, numpy, scikit-learn, statsmodels, seaborn, and more. Practical examples for ML include: (1) handwritten digit classification; (2) facial recognition; (3) Prediction of heart disease. (4) Classification of penguins. (5) global happiness index; and many more. Specifically, this course consists of 3 main parts (“mini-courses”):

  1. Python coding training
    • All essential data types and common operations
    • Manipulation of comprehensive strings
    • Flow control
    • Lists, tuples and collections
    • Dictionaries
    • objective programming
    • Inheritance
    • appointment time
    • Modules and packages
    • Exception handling etc
  2. Learn data analysis and visualization with Pandas and Seaborn
    • Data series and frames
    • Indexing, filtering, sorting, counting, etc
    • Merger/Join
    • Gathering
    • Line charts
    • pieces of cargo
    • Scattered conspiracies
    • Histogram etc
  3. Learn Machine Learning with Scikit-Learn
    • Linear regressions
    • Logistic regressions
    • Linear diagnostic analysis
    • Principal component analysis
    • K-Means
    • K-nearest neighbors
    • Support vector machines
    • Neural Networks
    • Decision trees
    • Random forests
    • Set metaparameters

This course is one of the most comprehensive and detailed courses that have been conducted so far in the Pandas package. It highlights the complexity of data wrangling, which takes up about 80% of data scientists’ time, and gives you a solid foundation to meet the challenging needs of managing real-world chaotic data. Machine learning (ML) focuses on practical applications and gaining an intuitive understanding of algorithms rather than delving into theories and mathematics. By the end of this course, you will not only become a proficient Python programmer, but also a budding data scientist ready to tackle real-world challenges.

What you will learn in the Fantastic Python: Data Science & Machine Learning course

  • Basics of Python coding

  • Learning the machine

  • Data manipulation with pandas

  • Data visualization with Seaborn and Pandas

  • objective programming

  • Applications in finance, real estate market, image recognition and many more

  • OLS linear regression

  • Logistic regressions

  • Linear diagnostic analysis

  • Principal Component Analysis (PCA)

  • Support vector machines

  • K-nearest neighbors algorithm

This course is suitable for people who

  • beginners
  • Intermediate Python coders who want to improve their machine learning skills
  • All aspiring data scientists, data analysts and data engineers
  • Professionals/students of other fields (business, marketing, finance, accounting, medicine, law, etc.)
  • Anyone curious about Python and/or machine learning

Fantastic Python: Data Science & Machine Learning course details

  • Publisher: Udemy
  • teacher: Richard Wang
  • Training level: beginner to advanced
  • Training duration: 42 hours and 53 minutes
  • Number of courses: 311

Course topics on 10/2023

Fantastic Python: Data Science & Machine Learning Fantastic Python: Data Science & Machine Learning Fantastic Python: Data Science & Machine Learning

Fantastic Python: Data Science & Machine Learning course prerequisites

  • No programming experience is required. You will learn everything you need to know about Python, data analytics and machine learning in this course.

Pictures of Fantastic Python: Data Science & Machine Learning course

Fantastic Python: Data Science & Machine Learning

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

Subtitle: None

Quality: 720p

download link

Download part 1 – 6 GB

Download part 2 – 6 GB

Download part 3 – 6 GB

Download part 4-6 GB

Download part 5-6 GB

Download part 6 – 6 GB

Download part 7 – 205 MB

File(s) password: www.downloadly.ir

Size

36.2 GB

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