• Application Deadline
  • 14 days
    Duration
  • English
    Language
Get Up to 90% Off! Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included in this Machine Learning A-Z - Hands-On Python and R In Data Science programme at Udemy.

About

What Will I Learn In This Machine Learning A-Z - Hands-On Python and R In Data Science programme at Udemy?

  • 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

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.

Detailed Programme Facts

  • Deadline and start date Application deadline and start date were not specified by the programme.
  • Programme intensity Part-time
    • Average part-time duration 14 days
    • Part-time variant
      Flexible
    • Duration description

      40.5 hours on-demand video

  • Languages
    • English
  • Delivery mode
    Online
  • More information Go to the programme website

Programme Structure

Courses include:
  • Simple Linear Regression 
  • Multiple Linear Regression 
  • Polynomial Regression 
  • Support Vector Regression (SVR) 
  • Decision Tree Regression 
  • Random Forest Regression 
  • Evaluating Regression Models Performance 

Audience

  • 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.

English Language Requirements

This programme requires students to demonstrate proficiency in English.

Schedule IELTS

Academic Requirements

Just some high school mathematics level.

Tuition Fee

  • International Applies to you

    200 EUR/full
    Tuition Fee
    Based on the original amount of 200 EUR for the full programme and a duration of 14 days.
  • EU/EEA Applies to you

    200 EUR/full
    Tuition Fee
    Based on the original amount of 200 EUR for the full programme and a duration of 14 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
Udemy continuously offers discounts up to 90% off with full lifetime access to the course. Check the discounts available by clicking "Visit Programme Website".

Funding

Check the programme website for information about funding options.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

The Global Study Awards: get funded with up to £10,000 to study abroad

Together with the ISIC Association and British Council IELTS, StudyPortals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.