Linear Regression Machine Learning Method Using Scikit-learn & Pandas in Python – Tutorial 30
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In this tutorial on Python for Data Science, You will learn about Multiple linear regression Model using Scikit learn and pandas in Python. You will learn about how to check missing data and Correlation.
This is the 30th Video of Python for Data Science Course! In This series I will explain to you Python and Data Science all the time! It is a deep rooted fact, Python is the best programming language for data analysis because of its libraries for manipulating, storing, and gaining understanding from data. Watch this video to learn about the language that make Python the data science powerhouse. Jupyter Notebooks have become very popular in the last few years, and for good reason. They allow you to create and share documents that contain live code, equations, visualizations and markdown text. This can all be run from directly in the browser. It is an essential tool to learn if you are getting started in Data Science, but will also have tons of benefits outside of that field. Harvard Business Review named data scientist “the sexiest job of the 21st century.” Python pandas is a commonly-used tool in the industry to easily and professionally clean, analyze, and visualize data of varying sizes and types. We’ll learn how to use pandas, Scipy, Sci-kit learn and matplotlib tools to extract meaningful insights and recommendations from real-world datasets.
Download Link for Cars Data Set:
https://www.4shared.com/s/fWRwKoPDaei
Download Link for Enrollment Forecast:
https://www.4shared.com/s/fz7QqHUivca
Download Link for Iris Data Set:
https://www.4shared.com/s/f2LIihSMUei
https://www.4shared.com/s/fpnGCDSl0ei
Download Link for Snow Inventory:
https://www.4shared.com/s/fjUlUogqqei
Download Link for Super Store Sales:
https://www.4shared.com/s/f58VakVuFca
Download Link for States:
https://www.4shared.com/s/fvepo3gOAei
Download Link for Spam-base Data Base:
https://www.4shared.com/s/fq6ImfShUca
Download Link for Parsed Data:
https://www.4shared.com/s/fFVxFjzm_ca
Download Link for HTML File:
https://www.4shared.com/s/ftPVgKp2Lca
Source
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is ix an obsolute function in python3? i some how cant get through
'DataFrame' object has no attribute 'ix'
how to resolve this sir
While running the code –
enroll_data = enroll.ix[:(2,3)].values
I'm receiving the following error–
AssertionError: End slice bound is non-scalar
Running this using Python 3.8. Could you please help me understand ?
Your lecture sounds good, but why is it unnecessarily complicated to download the simple source files come on guys! This should be the easiest thing to do but I have to be redirected endlessly, and having to watch crap porn images I didn't request for. Please fix
why did you scale them you didnt mention the reason sir
yntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated UXXXXXXXX escape
what i have to do with with this error?
What if are not we free of missing values?
it gives syntax error when I write print enroll.corr() or print LineReg.score(x,y)
can someone help me out please?
if u refer to a previous video could you include a link?
is it necessary to use CSV file formats for data, or can we fetch data from database and assign column values to lists and work with it
less adverstisement pls
Choosing a Machine Learning Project: https://www.youtube.com/watch?v=6v74fTej2xI
LinearRegression(Normalize =True).What is the use of Normalize here and why we need it here