The Complete Machine Learning Course With Python.



Create a set of 12 machine learning projects with Python, SVM, Backtrack, Unsupervised Machine Learning and more!

 

What are you learning

  • Machine learning engineers earn an average of $ 166,000 - be the best candidate for this course!
  • Solve any problems in your work, work or personal life with powerful machine learning modules.
  • Train machine learning algorithms to predict household expenses, identify handwriting, detect cancer cells and much more.
  • From Zero to Hero in Python, Seaborn, Matplotlib, Scikit-Learn, SVM, Unsupervised Machine Learning, etc.
  • needs
  • Basic knowledge of Python programming is essential.
  • Better understanding of algebra

 

Description

Completely updated for Python Machine Learning Course, November 2019!

With all the new components and updates and improved content, you have everything you need to master a machine learning course! The field of machine learning is constantly evolving and we want to make sure that students have the latest information and methods:

Brand new divisions include:


The difference between classical programming and machine learning, the difference between machine learning and deep learning, building blocks of neural networks, description of tensor and tensor operations, categories of machine learning and the basics of deep learning with topics. Such as overfitting and underdevelopment. Leveling, tagging, verification, testing and more.
Computer vision such as Conventional Neural Networks includes layer construction, filters / kernel comprehension, advanced topics such as transfer learning and function extensions.
All of the following sections have been improved and added:

Updated all code to work with Python 3.6 and 3.7.
The icon has been reformatted to work with Google Collab.
Deep Learning and NLP
Binary and multilevel rankings with deep learning
Learn the latest machine learning and get it all in one course!

The average salary of a machine learning engineer in the United States is 6 166K! By the end of this course, you will have a set of 12 machine learning projects that will help you get the job of your dreams or solve real world problems in your business, work or personal life using machine learning algorithms. I will help

Come and Learn Machine Learning with Python This exciting course with Anthony NJ, a senior lecturer in Singapore, adopts Rob Percival's "project-oriented" teaching method to get you into the course.

With over 18 hours of content and over fifty-five star reviews, this is the longest and most advanced machine learning course run on Udemy!

Build powerful machine learning models to solve any problems

You will go from a beginner to a very high level and your teacher will take you step by step on the screen with each algorithm.

By the end of the course, you will have well-trained machine learning algorithms such as flower classification, home price forecasting, handwriting or ring determination, identifying workers who are likely to grow faster. Yes, like cancer. Find cells, and more. More!

In this course you will learn that:


Adjust the Python development environment correctly.
Get a complete set of machine learning tools to solve real world problems.
Understand the different regression, ranking and performance measures of other ML algorithms such as R-squared, MSE, accuracy, confusion matrix, prediction, memory, etc. and when to use them.
Combine multiple models by packing, strengthening or stacking.
Take advantage of unsupervised machine learning (ML) algorithms such as ranking groups, k means clustering, etc. to understand your data.
Build Jupyter in notebooks (IPython), spiders and many other IDEs.
Interact with Matplotlib and Seaborn visually and effectively.
Create new features to improve algorithm prediction
Take advantage of train / test validation, K-fold and Cross-K-fold to choose the right model and predict model performance with unique data.
Generally using SVM for handwriting identification and classification issues
Use the decision tree to predict employee change
Apply the principle of linking to retail store datasets.
And much, much more!
No machine learning required. Although gaining some basic Python experience will be helpful, prior knowledge of Python is not required as all the codes are provided and the instructor goes through it with one line and helps you with friendly questions and answers. Will do

Make this investment your own

If you want to ride the wave of machine learning and enjoy the payroll data of scientists, this is the course for you!

Follow this training and give machine learning.



Here is the download links

https://www.udemy.com/course/machine-learning-course-with-pytho/
Download Torrent file


* If your in trouble watch the video thanks! *


Torrent software for windows -> Torrent Downloader

you can join over whats app group ->  FREE COURSES 2022

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