Python Best Courses

Machine Learning Practical: 6 Real-World Applications – Python Best Courses

Machine Learning Practical: 6 Real-World Applications - Python Best Courses Machine Learning - Get Your Hands Dirty by Solving Real Industry Challenges with Python
Machine Learning Practical: 6 Real-World Applications - Python Best Courses Machine Learning - Get Your Hands Dirty by Solving Real Industry Challenges with Python

Machine Learning Practical: 6 Real-World Applications – Python Best Courses

Machine Learning – Get Your Hands Dirty by Solving Real Industry Challenges with Python

What you’ll learn

Machine Learning Practical: 6 Real-World Applications – Python Best Courses

  • You will know how real data science project looks like
  • You will be able to include these Case Studies in your resume
  • Be able better to market yourself as a Machine Learning Practitioner
  • You will feel confident during Data Science interview
  • You will learn how to chain multiple ML algorithms together to achieve the goal
  • Learn most advanced Data Visualization techniques with Seaborn and Matplotlib
  • You will learn Logistic Regression
  • Learn L1 Regularization (Lasso)
  • Will learn Random Forest Classifier

Description

We gathered the best industry professionals with tons of completed projects behind.
Each presenter has a unique style, which is determined by his experience, and like in the real world, you will need to adjust to it if you want successfully complete this course. We will leave no one behind!

This course will demystify how real Data Science project looks like. Time to move away from these polished examples which are only introducing you to the matter, but not giving any real experience.

If you are still dreaming where to learn through practice, where to take real-life projects for your CV, how to not look like a noob in the recruiter’s eyes, then you came to the right place!

This course provides a hands-on approach to real-life challenges and covers exactly what you need to succeed in the real world of Data Science.

There are most exciting case studies including:

diagnosing diabetes in the early stages

directing customers to subscription products with app usage analysis

minimizing churn rate in finance

predicting customer location with GPS data

forecasting future currency exchange rates

classifying fashion

predicting breast cancer

and much more!

All real.

All true.

And as a final bonus:

In this course, we will also cover Deep Learning Techniques and their practical applications.

So as you can see, our goal here is to really build the World’s leading practical course.

If your goal is to become a Machine Learning expert, you know how valuable these real-life examples really are.

They will determine the difference between Data Scientists who just know the theory and experts who have gotten their hands dirty.

So if you want to get the hands-on experience that you can add to your portfolio, then this course is for you.

Who this course is for:

  • Data Science and Machine Learning enthusiasts who want to understand how real data science projects look like.
  • Anyone with Machine Learning and Python knowledge who wants to practice their skills
  • Content Form: https://www.udemy.com/course/machine-learning-practical/
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