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洪流细节 "Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science"

Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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name:Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
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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.

Requirements

   Just some high school mathematics level.

Last updated 5/2019
YouTube 视频:
类别:Tutorials
语言:English  English
总大小:5.15 GB
哈希信息:BE878AFC430B4CEFCEAE5813EC674577CF55B045
增加:tutsgalaxy Verified Uploader
加入的日期:2019-05-25 03:23:14
洪流地位:Torrent Verified


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