Python for Data Science and Machine Learning Bootcamp

Python for Data Science and Machine Learning Bootcamp Free Download

Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Platley, Skeet Learn, Machine Learning, Tensor Flow, and more!

What will you learn?

  • Use Python for data science and machine learning.
  • Use Spark for Big Data Analysis.
  • Implement the machine learning algorithm.
  • Learn how to use NumPy for numeric data.
  • Learn how to use Pand Pandas for data analysis.
  • Learn how to use MetaplotLab for Python plotting.
  • Learn how to use Seaborn for statistical plots.
  • Use Plotly for Interactive Dynamic Concepts.
  • Learn Sky for a Machine Learning Task
  • K-means clustering.
  • Logistic regression.
  • Linear regression
  • Random forests and deciduous trees.
  • Natural language processing and spam filters.
  • Neural network
  • Support vector machines


  • Some programming experience.
  • Admin permission to download files.


Are you ready to start on your way to becoming a data scientist!

This comprehensive course will guide you through the power of Python to analyze data, create beautiful concepts, and use powerful machine learning algorithms!

In fact, a data scientist is ranked first on Glassdoor and the average salary of a data scientist is over $ 120,000. Data science is a rewarding career that allows you to solve the world's most interesting problems!

This course is designed for both beginners who want to make the leap in data science for experienced, experienced or experienced developers.

This comprehensive course compares to other data science boot camps that usually cost thousands of dollars, but now you can learn all this information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for each lecture, this is a very comprehensive course for data science and machine learning on UD!

We show you how to program with Python, create amazing data visualizations, and use machine learning with Python! Here are some topics to learn:

  • Programming with Python.
  • NumPy with Python.
  • Using Panda data frames to solve complex tasks.
  • Use Panda to handle Excel files.
  • Web scraping with python.
  • Connect Python to SQL
  • Use metaplotlab and seaborne for data visualization.
  • Use planning for interactive visualization.
  • Skate learning machine learning, including:
  • Linear regression
  • K nearest neighbor
  • K means clustering.
  • The decision tree
  • Random forests.
  • Natural language processing
  • Neural nets and deep learning.
  • Support vector machines
  • And much more!

Enroll in the Course and become a Data Scientist today! Who is the target audience?

  • This course is for those who have at least some programming experience.