The Complete Python Bootcamp From Zero to Master in 2024

Learn Python like a Professional Start how to use NumPy,Pandas,Seaborn, Matplotlib , Plotly, Machine Learning, and more!

Ratings 5.00 / 5.00
The Complete Python Bootcamp From Zero to Master in 2024

What You Will Learn!

  • Use Python for Data Science and Machine Learning
  • Learn to use NumPy for Numerical Data
  • Use Plotly for interactive dynamic visualizations
  • Learn to use Matplotlib for Python Plotting
  • Learn to use Seaborn for statistical plots
  • Learn to use Pandas for Data Analysis
  • Implement Machine Learning Algorithms
  • Use Spark for Big Data Analysis
  • Neural Networks
  • Use Scikit-Learn for Machine Learning Tasks
  • Linear Regression
  • Natural Language Processing and Spam Filters
  • Support Vector Machines
  • Logistic Regression

Description

Are you ready to start your path to becoming a Developer!! (Exclusively on Udemy)

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! this is one of the most comprehensive course for data science and machine learning on Udemy!

We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:

  • Programming with Python

  • NumPy with Python

  • Using pandas Data Frames to solve complex tasks

  • Use pandas to handle Excel Files

  • Web scraping with python

  • Connect Python to SQL

  • Use matplotlib and seaborn for data visualizations

  • Use plotly for interactive visualizations

  • Machine Learning with SciKit Learn, including:

  • Linear Regression

  • K Nearest Neighbors

  • K Means Clustering

  • Decision Trees

  • Random Forests

  • Natural Language Processing

  • Neural Nets and Deep Learning

  • Support Vector Machines

  • and much, much more!

Enroll in the course and become a data scientist today!

Who Should Attend!

  • Beginner Python
  • This course is meant for people with at least some programming experience

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Tags

  • Python
  • Python Game Development

Subscribers

14

Lectures

19

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