Question: Python Machine Learning supervised learning I have a csv, and I need help doing supervised learning with a test part and a train part (random

Python Machine Learning supervised learning

I have a csv, and I need help doing supervised learning with a test part and a train part (random selection). Then choose the best model among all the training models. As well as doing cross-validation and random forest. And create some graphics in order to chose the best predictor (ex: seaborn).

The types of my data frame are:

title object p float64 watchers int64 brand object color object speeds float64 type object used int64 dtype: object

Is it possible with the variables I have in my csv to create a supervised learning model that will be trained to recognize the data provided and categorize them according to the two sales categories (used=1, else 0), or a forecast of the average selling price of used items?

The first row is name of column:

Python Machine Learning supervised learning I have a csv, and I need

Title watchers brand color speed Type Used 26" foldi 226.88 227 other black 21.0 montaine 0 original 1 750.0 5 trek other 6.0 montaine 0 vintage ( 149.99 15 other unknown 12.0 other 1 bicycle 822.0 6 other unknown 12.0 other O se bikes 589.21 o other unknown 12.0 other 1 sun bicy 116.0 0 other black 3.0 road o folding 499.99 10 other other 6.0 other 1

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer

Step: 1 Unlock blur-text-image

Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock

Step: 3 Unlock

Students Have Also Explored These Related Databases Questions!

Python Machine Learning : I have a csv, and I need help doing supervised learning with a test part and a train part (random selection). Then choose the best model among all the training models. As...

In Python: machine learning homework for regression I have provided the data set and part of the code. I hope you can help me with Problem 4. Thank you! Here is the data set and code for previous...

Python Machine Learning I need help doing supervised learning. Then choose the best model among all the training models. As well as doing cross-validation, random forest, knn. And create some...

You are attempting to identify the patrons that frequently purchase coffee atyour cafe chain, Coffee Time. Your staff calls people that purchase more than 3cups a week, "coffee regulars". These...

Python and most Python libraries are free to download or use, though many users use Python through a paid service. Paid services help IT organizations manage the risks associated with the use of...

Jupiter Notebook We have covered some of the limitations of single layer neural networks in class, but they are still powerful learning systems that provide a good way to begin learning about how to...

We are increasingly seeing new trends in application of emerging technologies, such as blockchain, audit analytics and continuous auditing, artificial intelligence and others in the public sector....

Factors encouraging cycle commuting in Scotland Big Data Fundamentals Coursework Daniel Devine CS982 Big Data Technologies Computer and Information Sciences University of Strathclyde, Glasgow 5th...

Please provide the summary of the methodology and your understanding of this paper. Incluse necessary figures as well. Rapid Object Detection using a Boosted Cascade of Simple Features single feature...

(1) Which of the three company's approaches to using people analytics for talent acquisition and development is most appealing (or most concerning)? (2) Should Fukuhara turn on the most advanced part...

What are three of the concepts that a mission statement should contain and why?

By defining and constructing a suitable Greens function (or modified Greens function), find an integral representation for the solution of the following problems. Indicate consistency condition...

One way of strengthening credibility is: spending more on IT . communicate frequently. merging IT into the business functions. provide a focus group.

Compared with half a century ago, adoption has become _ _ _ _ _ _ _ _ _ common, but it is more open and acceptabl e , so we probably discuss it _ _ _ _ _ _ _ . fill in the blanks more or much less or...

The chapter notes that the rise in the U.S. trade deficit during the 1980s was due largely to the rise in the U.S. budget deficit. On the other hand, the popular press sometimes claims that the...

In 1998, the Russian government defaulted on its debt payments, leading investors worldwide to raise their preference for U.S. government bonds, which are considered very safe. What effect do you...

A case study in the chapter analyzed purchasing-power parity for several countries using the price of Big Macs. Here are data for a few more countries: Predicted Country Big Mac Rate Rate Indonesia...