Machine Learning Classification Bootcamp in Python free download

Machine Learning Classification Bootcamp in Python free download
Machine Learning Classification Bootcamp in Python in Python . Apply advanced machine learning models to perform sentiment analysis and classify customer reviews such as Amazon Alexa products reviews . Understand the theory and intuition behind several machine learning algorithms such as K-Nearest Neighbors, Support Vector Machines (SVM), Decision Trees, Random Forest, Naive Bayes, and Logistic Regression . Build an e-mail spam classifier using NaiveBayes classification Technique . Develop models to predict customer behavior towards targeted Facebook Ads . Develop Models to predict user behavior towards Facebook Ads Develop models for Cancer and Kyphosis diseases classification . Use Scikit-Learn for

What you’ll find out in Artificial intelligence Classification Bootcamp in Python

  1. Apply progressed artificial intelligence designs to perform belief analysis as well as identify customer testimonials such as Amazon Alexa products reviews
  2. Understand the theory and also intuition behind several device learning formulas such as K-Nearest Neighbors, Support Vector Machines (SVM), Decision Trees, Random Forest, Ignorant Bayes, and also Logistic Regression
  3. Implement classification algorithms in Scikit-Learn for K-Nearest Neighbors, Assistance Vector Machines (SVM), Choice Trees, Random Forest, Ignorant Bayes, and also Logistic Regression
  4. Build an e-mail spam classifier making use of Ignorant Bayes category Method
  5. Apply device learning versions to Healthcare applications such as Cancer and also Kyphosis conditions category
  6. Create Models to predict client actions in the direction of targeted Facebook Advertisements
  7. Classify data using K-Nearest Neighbors, Support Vector Machines (SVM), Choice Trees, Random Forest, Naive Bayes, and Logistic Regression
  8. Develop an in-store attribute to predict client’s size using their features
  9. Create a fraud detection classifier making use of Artificial intelligence Techniques
  10. Master Python Seaborn collection for analytical plots
  11. Recognize the difference in between Artificial intelligence, Deep Knowing and Expert System
  12. Perform feature design as well as clean your training as well as testing information to eliminate outliers
  13. Master Python and also Scikit-Learn for Data Scientific Research as well as Machine Learning
  14. Learn to make use of Python Matplotlib library for data Outlining

Description

Are you all set to understand Machine Learning strategies and also Kick-off your career as a Data Scientist?!

You involved the ideal place!

Artificial intelligence skill is one of the leading skills to acquire in 2019 with a typical salary of over $114,000 in the USA according to PayScale! The overall number of ML jobs over the past two years has actually grown around 600 percent and also expected to grow much more by 2020.

This training course offers trainees with knowledge, hands-on experience of cutting edge machine finding out category methods such as

Who this course is for:

  • Data Science Enthusiasts wanting to enhance their machine learning skills
  • Python programmers curious about Machine Learning and Data Science
  • Programmers or developers who want to make a shift into the lucrative data science and machine learning career path
  • Technologists wanting to gain an understanding of how machine learning models work
  • Data analysts who want to transition into the Tech industry
File Name :Machine Learning Classification Bootcamp in Python free download
Content Source:udemy
Genre / Category:Data Science
File Size :6.40 gb
Publisher :Dr. Ryan Ahmed
Updated and Published:08 Aug,2022
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File name: Machine-Learning-Classification-Bootcamp-in-Python.rar
File Size:6.40 gb
Course duration:10 hours
Instructor Name:Dr. Ryan Ahmed, Ph.D., MBA , Mitchell Bouchard , Ligency I Team , Ligency Team
Language:English
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