Python for Data Science and Machine Learning Bootcamp


Python for Data Science and Machine Learning Bootcamp

Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!

What Will I Learn?
  • Use Python for Data Science and Machine Learning
  • Use Spark for Big Data Analysis
  • Implement Machine Learning Algorithms
  • Learn to use NumPy for Numerical Data
  • Learn to use Pandas for Data Analysis
  • Learn to use Matplotlib for Python Plotting
  • Learn to use Seaborn for statistical plots
  • Use Plotly for interactive dynamic visualizations
  • Use SciKit-Learn for Machine Learning Tasks
  • K-Means Clustering
  • Logistic Regression
  • Linear Regression
  • Random Forest and Decision Trees
  • Natural Language Processing and Spam Filters
  • Neural Networks
  • Support Vector Machines
  • Some programming experience
  • Admin permissions to download files


Are you ready to start your path to becoming a Data Scientist!

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! With over 100 HD video lectures and detailed code notebooks for every lecture 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!

Who is the target audience?

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

Created by Jose Portilla
Last updated 5/2020

Size: 4.19 GB

Google Drive Links

Download Part 1 | Download Part 2

Torrent Links

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  1. Sri Harsha Modali says

    Seed Please

  2. Nabin Thapa says

    Seed please

  3. Harsh Rawat says

    Seeds please !

  4. Harsh Rawat says

    Seed please !

  5. imran khan says

    please upload 720p

  6. peter says

    sed please

  7. Lu Aye says

    Seed Please.

  8. neox says

    Seed Please.

  9. Abdullah Al Mamun says

    seed please

  10. Akshay says

    Seed please

  11. Akshay vc says

    seed please

  12. Ankit says

    seed plz

  13. shanz says

    seeds plz. thx

  14. Masood Ahmed says

    May I have access!

  15. Asad Ali says

    update this course please

  16. Fhuad says

    Seed please. how can I get the exercise files for this course?

  17. Sandra says

    please, could you update this couse? Thnx

  18. Helen says

    Please where are the download links? When I click on the links I am redirected to another page and I cant find the download link there. Or if anyone has the direct download URL please share

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