Udemy
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
Development
Web Development Data Science Mobile Development Programming Languages Game Development Database Design & Development Software Testing Software Engineering Software Development Tools No-Code Development
Business
Entrepreneurship Communication Management Sales Business Strategy Operations Project Management Business Law Business Analytics & Intelligence Human Resources Industry E-Commerce Media Real Estate Other Business
Finance & Accounting
Accounting & Bookkeeping Compliance Cryptocurrency & Blockchain Economics Finance Finance Cert & Exam Prep Financial Modeling & Analysis Investing & Trading Money Management Tools Taxes Other Finance & Accounting
IT & Software
IT Certifications Network & Security Hardware Operating Systems & Servers Other IT & Software
Office Productivity
Microsoft Apple Google SAP Oracle Other Office Productivity
Personal Development
Personal Transformation Personal Productivity Leadership Career Development Parenting & Relationships Happiness Esoteric Practices Religion & Spirituality Personal Brand Building Creativity Influence Self Esteem & Confidence Stress Management Memory & Study Skills Motivation Other Personal Development
Design
Web Design Graphic Design & Illustration Design Tools User Experience Design Game Design 3D & Animation Fashion Design Architectural Design Interior Design Other Design
Marketing
Digital Marketing Search Engine Optimization Social Media Marketing Branding Marketing Fundamentals Marketing Analytics & Automation Public Relations Paid Advertising Video & Mobile Marketing Content Marketing Growth Hacking Affiliate Marketing Product Marketing Other Marketing
Lifestyle
Arts & Crafts Beauty & Makeup Esoteric Practices Food & Beverage Gaming Home Improvement & Gardening Pet Care & Training Travel Other Lifestyle
Photography & Video
Digital Photography Photography Portrait Photography Photography Tools Commercial Photography Video Design Other Photography & Video
Health & Fitness
Fitness General Health Sports Nutrition & Diet Yoga Mental Health Martial Arts & Self Defense Safety & First Aid Dance Meditation Other Health & Fitness
Music
Instruments Music Production Music Fundamentals Vocal Music Techniques Music Software Other Music
Teaching & Academics
Engineering Humanities Math Science Online Education Social Science Language Learning Teacher Training Test Prep Other Teaching & Academics
Web Development JavaScript React Angular CSS Node.Js Typescript HTML5 PHP
AWS Certification Microsoft Certification AWS Certified Solutions Architect - Associate AWS Certified Cloud Practitioner CompTIA A+ Amazon AWS Cisco CCNA CompTIA Security+ Microsoft AZ-900
Microsoft Power BI SQL Tableau Data Modeling Business Analysis Data Analysis Data Warehouse Blockchain Business Intelligence
Unity Unreal Engine Game Development Fundamentals C# 3D Game Development C++ Unreal Engine Blueprints 2D Game Development Mobile Game Development
Google Flutter iOS Development Android Development Swift React Native Dart (programming language) Kotlin SwiftUI Mobile App Development
Graphic Design Photoshop Adobe Illustrator Drawing Canva Digital Painting InDesign Design Theory Procreate Digital Illustration App
Life Coach Training Neuro-Linguistic Programming Personal Development Personal Transformation Life Purpose Mindfulness Sound Therapy Emotional Intelligence Coaching
Business Fundamentals Entrepreneurship Fundamentals Freelancing Business Strategy Online Business Startup Business Plan Blogging Amazon Kindle Direct Publishing (KDP)
Digital Marketing Social Media Marketing Marketing Strategy Internet Marketing Copywriting Google Analytics Email Marketing Startup Advertising Strategy

DevelopmentData ScienceMachine Learning

Machine Learning - Regression and Classification (math Inc.)

A complete Beginner to Advance level guide to Machine Learning. Hands-on Learning approach with in-depth math concepts
Rating: 4.4 out of 54.4 (449 ratings)
59,836 students
Created by Sachin Kafle
Last updated 4/2021
English
English [Auto]

What you'll learn

  • Understand and implement a Decision Tree in Python
  • Understand about Gini and Information Gain algorithm
  • Solve mathematical numerical related decision trees
  • Learn about regression trees
  • Learn about simple, multiple, polynomial and multivariate regression
  • Learn about Ordinary Least Squares Algorithms
  • Solve numerical related to Ordinary Least Squares algorithm
  • Learn to create real world predictions and classification projects
  • Learn about Gradient Descent
  • Learn about Logistic Regression and hyper parameters

Requirements

  • Basic mathematical concepts of addition, multiplication and so on
  • Knowing python beforehand would be handful

Description

Machine learning is a branch of artificial intelligence (AI) focused on building applications that learn from data and improve their accuracy over time without being programmed to do so.

In data science, an algorithm is a sequence of statistical processing steps. In machine learning, algorithms are 'trained' to find patterns and features in massive amounts of data in order to make decisions and predictions based on new data. The better the algorithm, the more accurate the decisions and predictions will become as it processes more data.

Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts.

Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning.

Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.

Topics covered in this course:

1. Lecture on Information Gain and GINI impurity [decision trees]

2. Numerical problem related to Decision Tree will be solved in tutorial sessions

3. Implementing Decision Tree Classifier in workshop session [coding]

4. Regression Trees

5. Implement Decision Tree Regressor

6. Simple Linear Regression

7. Tutorial on cost function and numerical implementing Ordinary Least Squares Algorithm

8. Multiple Linear Regression

9. Polynomial Linear Regression

10. Implement Simple, Multiple, Polynomial Linear Regression [[coding session]]

11. Write code of Multivariate Linear Regression from Scratch

12. Learn about gradient Descent algorithm

13. Lecture on Logistic Regression [[decision boundary, cost function, gradient descent.....]]

14. Implement Logistic Regression [[coding session]]



Who this course is for:

  • Seasonal and Beginners Python developers who want to learn about different AI and ML algorithms
  • Students who want to learn all the mathematics behind popular regression and classification models
  • Students who want to learn to implement data science libraries to solve real world Machine Learning problems

Instructor

Sachin Kafle
Founder of CSAMIN & Bit4Stack Tech Inc. [[Author, Teacher]]
Sachin Kafle
  • 4.2 Instructor Rating
  • 2,927 Reviews
  • 180,104 Students
  • 20 Courses

Sachin Kafle is a Python and Java developer, ethical hacker and social activist. His interest's lies in software development and integration practices in the areas of computation, quantitative fields of trade. His technological interests include Python, C, Java, C# programming. He has been involved in teaching since 2013.

Sachin is a engineer of Computer Science (B.E. Computer Science). He is also an instructor on his previously made some geek Youtube channel. He has been giving free classes mostly for students who have not been able to pay for expensive classes in his country.

Top companies choose Udemy Business to build in-demand career skills.
NasdaqVolkswagenBoxNetAppEventbrite
  • Udemy Business
  • Teach on Udemy
  • Get the app
  • About us
  • Contact us
  • Careers
  • Blog
  • Help and Support
  • Affiliate
  • Investors
  • Terms
  • Privacy policy
  • Sitemap
  • Accessibility statement
Udemy
© 2022 Udemy, Inc.