Building Linear Regression using Statsmodels /model building in python

Поделиться
HTML-код
  • Опубликовано: 9 сен 2024
  • Welcome to learn with Ankith ! In this comprehensive tutorial, we'll guide you through the process of building a Linear Regression model using Statsmodels in Python. Linear Regression is a fundamental algorithm for predicting numeric values, and with Statsmodels, you'll gain a deeper understanding of the model building process.
    🔍 Key Topics Covered:
    Introduction to Linear Regression
    Installing and Importing Statsmodels
    Data Preparation and Exploration
    Building the Linear Regression Model
    Interpretation of Model Results
    Model Evaluation and Fine-Tuning
    🚀 Why Watch This Video?
    Whether you're a beginner diving into the world of data science or an intermediate practitioner looking to enhance your skills, this tutorial is designed for you. We'll walk through each step, explaining concepts along the way, so you can confidently build and interpret your own Linear Regression models.
    📌 content
    -Introduction
    - Installing Statsmodels
    - Data Preparation
    ​ - Model Building
    - Model Interpretation
    - Model Evaluation
    #dataanalytics ,#modelbuilding ,#pythondataanalysis ,#linearregression ,#machinelearning ,#learn_with_Ankth
    #DataScience, #MachineLearning, #PythonProgramming, #Statsmodels, #LinearRegression, #DataAnalysis, #DataAnalytics, #CodingTutorial, #ProgrammingInPython, #DataVisualization, #ModelBuilding, #Statistics, #TechTutorial, #CodeLearning, #DataScientists, #DataDriven, #AnalyticsInPython, #PythonCoding, #AIandML, #DataModeling, #TechEducation, #LearnProgramming, #DataInsights, #ProgrammingTips, #CodingJourney

Комментарии • 10