Linear Regression in Python



Advertisements   
   

 

What you’ll learn

  • In this course you will be introduced to Linear Regression in Python, Importing Libraries, Graphical Univariate Analysis

  • Learn Boxplot, Linear Regression Boxplot, Linear Regression Outliers, Bivariate Analysis, Machine Learning Base Run and Predicting Output

Requirements

  • In this course, there is a need for basic knowledge of Python programming. This is better to understand the concepts very quickly and easily.

Forecasting in general means to display, where this exactly is to display or predict future trends using previous or historical data as inputs to obtain an efficient and effective estimation from the predictive data. Forecasting models have different methods for different situations and evaluation procedures are also conducted. Forecasting evaluation includes a procedure to be carried out in step by step that starts with testing of assumptions, testing data and methods, replicating outputs, and accessing outputs. There are three different types of forecasting which basic types of forecasting are: qualitative techniques, time series analysis and projection, and casual models. In this course you will be introduced to Linear Regression in Python, Importing Libraries, Graphical Univariate Analysis, Boxplot, Linear Regression Boxplot, Linear Regression Outliers, Bivariate Analysis, Machine Learning Base Run and Predicting Output.

Forecasting is very important and effective technique in various sectors like business, finance, banking, weather, etc which is important in conducting the production planning and management which will help in deciding what to produce and with what available resources to produce, hence this technique is considered as an independent component in the field of business, financial, etc which aids in taking correct decision by the management in the organization or companies.

Read more course:  Python & Introduction to Data Science - Python Tutorials and Data Science Basics

Who this course is for:

  • This course can be taken who are interested and want to explore more knowledge in data and analytics.
  • Students or professionals can also undergo this training who is interested in developing their career or promoting themselves in the field of data science.
  • Technical managers or software engineers or IT operators can also undergo this Training which will help them upgrade their skills related to time series
  • This course is helpful for analysts who can easily analyze any huge data and apply the proper algorithm to predict the future trend in the obtained data

#1 Brand for Competitive Exam Preparation and Test Series

An initiative by IIT IIM Graduates, ExamTurf is a leading global provider of skill based mock exams addressing the needs of 1,000,000+ members across 70+ Countries. Our unique step-by-step, online learning model along with amazing tests series prepared by top-notch professionals from the Industry help participants achieve their goals successfully. All our test series are Job oriented skill based tests demanded by the Industry. At ExamTurf, it is a matter of pride for us to make job oriented tests series available to anyone, anytime and anywhere. Therefore we ensure that you can enroll 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. Plan your tests to suit your convenience and schedule.

Linear Regression in Python, Free Tutorials Download

Download Linear Regression in Python  Free Tutorials Direct Links

Go to Download Tutorials Page Go to HomePage Tutorials

Password : freetuts.download


Advertisements

Related Courses

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.