+ ShareSpark.net » :::: Study / Technical / Programming Section » Ebooks And Students Zone » Video Tutorials
|- [Google Drive] MACHINE LEARNING A-Z™: HANDS-ON PYTHON & R IN DATA SCIENCE


Mastercard 10% Off

[Google Drive] MACHINE LEARNING A-Z™: HANDS-ON PYTHON & R IN DATA SCIENCE

0 Members and 1 Guest are viewing this topic.

April 01, 2018, 11:35:49 PM
  • Newbie
  • **
  • Topic Author
  • Thank You: 0
  • Reputation: 0
  • Activity:
    0%
  • Country: in
  • Posts: 1
  • Topics: 1
  • Join Date: Apr 2016
  • ShareSpark Member
Quote
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 live 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.

Quote
Content retrieved from:

Download
Code: [Select]
http://drive.google.com/drive/folders/17_M8X4gvrIoMwQHucANu8GsWq-dv1a_g

Share this topic on FacebookShare this topic on GoogleShare this topic on MySpaceShare this topic on TwitterShare this topic on Yahoo




 

Related Topics





Back to top