Blog » Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2023]

Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2023]

Machine Learning course for health economists Hands-On Python & R In Data Science

Online Course. Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included

What Will I Learn?

Master Machine Learning on Python & R.

Have a great intuition of many Machine Learning models.

Make accurate predictions.

Make powerful analysis.

Make robust Machine Learning models.

Create strong added value to your business.

Use Machine Learning for personal purpose.

Handle specific topics like Reinforcement Learning, NLP and Deep Learning.

Handle advanced techniques like Dimensionality Reduction.

Know which Machine Learning model to choose for each type of problem.

Build an army of powerful Machine Learning models and know how to combine them to solve any problem.

Requirements

  • Just some high school mathematics level.

Description

Interested in the field of Machine Learning? Then this course is for you!

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:

  • Part 1 – Data Preprocessing
  • Part 2 – Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
  • Part 3 – Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
  • Part 4 – Clustering: K-Means, Hierarchical Clustering
  • Part 5 – Association Rule Learning: Apriori, Eclat
  • Part 6 – Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
  • Part 7 – Natural Language Processing: Bag-of-words model and algorithms for NLP
  • Part 8 – Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
  • Part 9 – Dimensionality Reduction: PCA, LDA, Kernel PCA
  • Part 10 – Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost

Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.

And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.

Who this course is for:

  • Anyone interested in Machine Learning.
  • Students who have at least high school knowledge in math and who want to start learning Machine Learning.
  • Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
  • Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
  • Any students in college who want to start a career in Data Science.
  • Any data analysts who want to level up in Machine Learning.
  • Any people who are not satisfied with their job and who want to become a Data Scientist.
  • Any people who want to create added value to their business by using powerful Machine Learning tools.


See more Data Science Courses here 


Write a Guest Post?

Do you have something interesting to share with health economists? We publish guest blog posts on topics that help our fellow health economists to progress their careers, and grow professionally and personally, and in general help them to do their work better. Send us your guest post here.


See also...

Excel VBA - How to Write Macros Like a Professional online course for health economists

Excel VBA: How to Write Macros Like a Professional

Online Course. Learn how to write real-world Excel VBA Macros from scratch. No experience required. ... Read more

Statistics for Data Analysis Using R online course for health economists

Statistics for Data Analysis Using R

Online Course. Learn Programming in R & R Studio • Descriptive, Inferential Statistics • Plots ... Read more

The Complete Healthcare Artificial Intelligence Course 2022 online course for health economists

The Complete Healthcare Artificial Intelligence Course 2022

Online course. Creating powerful AI model for Real-World Healthcare applications with Data Science, Machine Learning ... Read more

Top Microsoft Excel Hacks Online Course for health economists

Top Excel Hacks

Online Course. What you’ll learn? Learn Excel Shortcuts to Save Time and Become More Productive ... Read more

Excel Dashboards and Data Analysis Masterclass Online course for health economists

Excel Dashboard and Data Analysis Masterclass

Online Course. Create 6 Interactive Microsoft Excel Dashboards from Scratch (Excel Dashboard Templates Included). What ... Read more

Data Science, Analytics & AI for Business & the Real World online course for health economists

Data Science, Analytics & AI for Business & the Real World™

Use Data Science & Statistics To Solve Business Problems & Gain Insights Into Everyday Problems ... Read more

Categories

Tags