Data Analysis with Python for Beginners - Ep 7: Predictive Analysis (Linear Regressions) скачать в хорошем качестве

Data Analysis with Python for Beginners - Ep 7: Predictive Analysis (Linear Regressions)

In this episode, we’ll learn how to perform predictive analysis using linear regressions. Linear regressions are one of the most common ways of making predictions for future values of a dataset. Knowing how to make linear regressions is a hugely valuable skill in data analysis/data science! Matplotlib website/documentation: https://matplotlib.org/stable/index.html Seaborn website/documentation: https://seaborn.pydata.org/ This video is part of an 8-part course designed to give absolute beginners an idea of what Data Analysis looks like using Python. What is Data Analysis? Data Analysis is the process of exploring, cleaning, transforming, and modeling data as a way to produce insightful conclusions or gather useful information. It is a field that is growing rapidly, along with Data Science, and one that is very high in demand. If you’re interested in taking that career route, or maybe just want to learn it as a skill, this course is for you! This episode’s Colab Notebook: https://colab.research.google.com/dri... AI Global Index Dataset: https://www.kaggle.com/datasets/kater... Episode Timestamps: 00:00 - Intro 00:28 - Linear function overview 1:40 - What is linear regression? 04:06 - sklearn library 04:45 - Selecting regression variables 06:48 - Train/test splits 09:22 - Creating/training model 10:12 - Getting linear equation 11:49 - Scoring model 14:23 - Creating/visualizing predictions 16:44 - Plotting linear regression 20:16 - Multiple Linear Regressions