Free Certification Course Title: Linear Regression and Logistic Regression in Python
Build predictive ML models with no coding or maths background. Linear Regression and Logistic Regression for beginners
What you’ll learn:
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Learn how to solve real life problem using the Linear and Logistic Regression technique
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Preliminary analysis of data using Univariate and Bivariate analysis before running regression analysis
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Understand how to interpret the result of Linear and Logistic Regression model and translate them into actionable insight
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Indepth knowledge of data collection and data preprocessing for Linear and Logistic Regression problem
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Basic statistics using Numpy library in Python
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Data representation using Seaborn library in Python
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Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python
Requirements:
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This course starts from basics and you do not even need coding background to build these models in Python
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Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same
Who this course is for:
- People pursuing a career in data science
- Working Professionals beginning their Data journey
- Statisticians needing more practical experience
- Anyone curious to master Linear and Logistic Regression from beginner to advanced level in a short span of time
- People pursuing a career in data science
- Working Professionals beginning their Data journey
- Statisticians needing more practical experience
- Anyone curious to master Linear and Logistic Regression from beginner to advanced level in a short span of time
This course includes:
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7.5 hours on-demand video
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3 articles
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2 downloadable resources
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Full lifetime access
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Access on mobile and TV
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Certificate of completion
