explanation
Machine Learning & Deep Learning in Python & R. This is the period of training machine learning and deep learning in the names, languages that are the subject of regression, Python and R, etc. Covers neural network time series such as decision trees and SVM. In this course, all the steps an individual must go through while identifying a business problem through linear regression analysis are covered. Most courses only focus on how the analysis was conducted. However, we believe that before and after analysis is much more important. For example, before running an analysis, it must be preprocessed to ensure correct analysis. Alternatively, performing analysis at a later date will help you evaluate the effectiveness of your model and get results that really fit your business and help you interpret the most from your analysis.
In our Machine Learning and Deep Learning in Python and R course, you will learn:
- How to use machine learning techniques to solve real-life problems.
- Machine learning, regression, logic and KNN such as models, linear regression, etc.
- XGBoost, Random Forest, and SVM, including models, machine learning, and advanced features like decision trees.
- Basic understanding of statistics and machine learning concepts
- How to perform basic statistical operations and machine learning implementations in Python
- In-depth data collection and data processing concepts for machine learning issues
- How to turn a business problem into a machine learning problem
Specification Volume:
Publisher: Udemy
Teachers: Start Tech Academy
Language: English,
Education level: Beginner to advanced;
Number of classes: 42 sections, 282 classes
Duration: 35 hours 0 minutes
this process
precondition:
Students will be required to install the Anaconda software, but there is a separate class that guides you through the installation.
image
sample video
installation manual
After extracting, use the back player to select the desired view.
Subtitles: English
Quality: 720p
Changes:
The 2021/4 version has 1 lesson more than the 2021/2 version.
There is no change in the number of courses in the 2021/11 version compared to the 2021/4 version, but the total time required has been shortened by 1 minute.
download link
Password file: free download software
file size
10.90GB