Linear Regression and Logistic Regression in Python

Category: Tutorial


Posted on 2020-06-22, by 0nelovee.

Description

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Linear Regression and Logistic Regression in Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 65 lectures (8 hour, 15 mins) | Size: 2.47 GB


Build predictive ML models with no coding or maths background. Linear Regression and Logistic Regression for beginners
What you'll learn

Learn how to solve real life problem using the Linear and Logistic Regression technique
Preliminary analysis of data using Univariate and Bivariate analysis before running regression analysis
Understand how to interpret the result of Linear and Logistic Regression model and translate them into actionable insight
Indepth knowledge of data collection and data preprocessing for Linear and Logistic Regression problem
Basic statistics using Numpy library in Python
Data representation using Seaborn library in Python
Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python

Requirements

This course starts from basics and you do not even need coding background to build these models in Python
Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same

Description

You're looking for a complete Linear Regression and Logistic Regression course that teaches you everything you need to create a Linear or Logistic Regression model in Python, right?

You've found the right Linear Regression course!

After completing this course you will be able to:

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