Linear Regression: Supervised ML for Predictive Analytics
Linear Regression: Supervised ML for Predictive Analytics, available at $54.99, has an average rating of 5, with 20 lectures, 2 quizzes, based on 6 reviews, and has 13 subscribers.
You will learn about Introduction to machine learning Types of machine learning Deep dive in supervised machine learning Deep dive in supervised machine learning Introduction to NumPy Introduction to Pandas Introduction to house price prediction Introduction to Linear Regression This course is ideal for individuals who are Understanding of basic mathematics operation or This course is for those who are beginners and want to go in field of data analyst or This course is also for those who are beginners but want to work on realitic world problems like house price prediction It is particularly useful for Understanding of basic mathematics operation or This course is for those who are beginners and want to go in field of data analyst or This course is also for those who are beginners but want to work on realitic world problems like house price prediction.
Enroll now: Linear Regression: Supervised ML for Predictive Analytics
Summary
Title: Linear Regression: Supervised ML for Predictive Analytics
Price: $54.99
Average Rating: 5
Number of Lectures: 20
Number of Quizzes: 2
Number of Published Lectures: 20
Number of Published Quizzes: 2
Number of Curriculum Items: 23
Number of Published Curriculum Objects: 23
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Introduction to machine learning
- Types of machine learning
- Deep dive in supervised machine learning
- Deep dive in supervised machine learning
- Introduction to NumPy
- Introduction to Pandas
- Introduction to house price prediction
- Introduction to Linear Regression
Who Should Attend
- Understanding of basic mathematics operation
- This course is for those who are beginners and want to go in field of data analyst
- This course is also for those who are beginners but want to work on realitic world problems like house price prediction
Target Audiences
- Understanding of basic mathematics operation
- This course is for those who are beginners and want to go in field of data analyst
- This course is also for those who are beginners but want to work on realitic world problems like house price prediction
Dive into the fundamentals of predictive modeling and predictive analytics with our comprehensive Linear Regression course. Master the essential techniques to unleash the potential of supervised machine learning.
Course Overview:
This course provides a comprehensive introduction to machine learning, focusing specifically on supervised learning techniques with a deep dive into logistic regression. Students will explore the fundamental concepts of machine learning, understand the principles behind supervised learning, and master the implementation and application of logistic regression models.
In this comprehensive course, you’ll delve into the fundamental concepts and practical applications of linear regression, a cornerstone of supervised machine learning. From understanding the underlying mathematics to implementing regression models in Python, you’ll gain the skills needed to analyze relationships between variables, make accurate predictions, and extract valuable insights from your data. Whether you’re a beginner or seasoned data scientist, this course provides a structured approach to mastering linear regression and leveraging its predictive capabilities across various industries and domains.
With hands-on exercises, real-world examples, and expert guidance, you’ll be equipped to tackle regression problems with confidence and drive data-driven decisions with precision. Embark on your journey to becoming a proficient practitioner in predictive modeling with linear regression today!
Instructor of this course from Services By IEO:
Ahmed Shafique
Specialized in supervised machine learning specially in regression and classification
Specialized in deep learning in Deep Neural Networks
Ready to unlock the secrets of predictive analytics? Enroll now and master linear regression for accurate data-driven decisions! Take the first step towards becoming a proficient data scientist today!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction to course
Lecture 2: Introduction to Machine Learning
Lecture 3: Types of Machine Learning
Lecture 4: Supervised Machine Learning
Lecture 5: Introduction to NumPy
Lecture 6: Introduction to Panadas
Lecture 7: Coming Weeks Lectures and Labs
Chapter 2: Linear Regression
Lecture 1: Lab 1 Introduction to Jupyter Notebook
Lecture 2: Lab 2 Introduction to Pandas Functions
Lecture 3: Introduction to House Price Prediction
Lecture 4: Lab 3 Creating Dataframe for actual Price
Lecture 5: Similarities in equations
Lecture 6: Introduction to Linear Regression model function
Lecture 7: Lab 4 Linear Regression Model Implementation in small data
Lecture 8: Original Prediction
Chapter 3: Errors and prediction using mathematical concepts in Linear Regression Model
Lecture 1: Concepts of Linear Algebra, Probability and Gradient Descent
Lecture 2: Deep dive in Linear Regression model
Lecture 3: Cost Function
Lecture 4: Implementing linear Regression in Python
Chapter 4: Types of Linear Regression Model
Lecture 1: Introduction to the polynomial linear regression
Instructors
-
Services By IEO
Certified instructors and trainers from Dev IEO & IEO TECH.
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 0 votes
- 5 stars: 6 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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