Data Science: Supervised Machine Learning in Python free download

Data Science: Supervised Machine Learning in Python . Use Sci-Kit Learn to understand and implement K-Nearest Neighbors and KNN to solve several binary and multiclass classification problems . Understand the limitations of the Perceptron and how to apply cross-validation and hyperparameters . Understand and implement a Decision Tree in Python to solve a decision tree in Python. Understand the pros and cons between classic machine learning methods and deep learning methods . Implement a machine learning web to implement a machine-learning web. Use SciKit Learn to learn and use data science in Python’s Data Science Machine Machine Learning Toolkit.

What you’ll discover in Data Science: Monitored Artificial Intelligence in Python

  1. Understand as well as implement K-Nearest Neighbors in Python
  2. Understand the limitations of KNN
  3. Customer KNN to solve numerous binary and multiclass classification issues
  4. Understand as well as implement Naive Bayes as well as General Bayes Classifiers in Python
  5. Understand the restrictions of Bayes Classifiers
  6. Understand and also execute a Choice Tree in Python
  7. Understand and apply the Perceptron in Python
  8. Understand the restrictions of the Perceptron
  9. Understand hyperparameters and exactly how to use cross-validation
  10. Understand the ideas of feature extraction as well as feature choice
  11. Comprehend the advantages and disadvantages in between traditional equipment discovering methods as well as deep discovering
  12. Usage Sci-Kit Learn
  13. Execute an equipment learning web solution

Description

In the last few years, we’ve seen a resurgence in AI, or expert system, and also artificial intelligence.

Machine learning has caused some outstanding outcomes, like having the ability to analyze medical pictures and anticipate illness on-par with human experts.

Google’s AlphaGo program was able to beat a world champ in the method video game go making use of deep reinforcement learning.

Artificial intelligence is also being utilized to program self driving automobiles, which is mosting likely to transform the automobile market permanently. Picture a globe with significantly decreased cars and truck mishaps, simply by getting rid of the element of human mistake.

Google notoriously announced that they are now “artificial intelligence initially”, implying that artificial intelligence is going to get a great deal more interest currently, as well as this is what’s going to drive advancement in the coming years. It’s embedded right into all kind of various products.

Who this course is for:

  • Students and professionals who want to apply machine learning techniques to their datasets
  • Students and professionals who want to apply machine learning techniques to real world problems
  • Anyone who wants to learn classic data science and machine learning algorithms
  • Anyone looking for an introduction to artificial intelligence (AI)
File Name :Data Science: Supervised Machine Learning in Python free download
Content Source:udemy
Genre / Category:Data Science
File Size :3.83 gb
Publisher :Lazy Programmer Team
Updated and Published:07 Jul,2022

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File name: Data-Science-Supervised-Machine-Learning-in-Python.rar
File Size:3.83 gb
Course duration:6 hours
Instructor Name:Lazy Programmer Team , Lazy Programmer Inc.
Language:English
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