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Python project

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Tools: Python(Pycharm and Jupyter Notebook)

Download the dataset from Kaggle and use the data to predict taxi fares of NYC by using a linear regression model.

I need a detailed report in APA format with outputs and graphs and PPT about the project with at least 40slides

Compétences : Python, Architecture Logicielle, Statistiques

Concernant l'employeur :
( 1 commentaire ) India

Nº du projet : #32095576

Décerné à:

surajnai567

Hi i can do it for you but your budget is low. Is the ppt describe the project finding? Contact me we will discuss more in the chat.

%selectedBids___i_sum_sub_7% %project_currencyDetails_sign_sub_8% INR en 7 jours
(14 Commentaires)
3.8

7 freelances font une offre moyenne de 3643 ₹ pour ce travail

(119 Commentaires)
7.5
mirzaahamza

Heyy I am expert in python and I can hell you with your project message me to discuss so that we can start working on it

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(42 Commentaires)
4.8
ThetaSolutions

I am PhD scholar of computer science and professional machine learning and AI specialist. I am also master of python development, I check your data set and I can also implement prediction model to find the fares, and I Plus

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(31 Commentaires)
4.3
dilipbarot

Hello I've gone through your posted job description for Python project I have successfully 300+ project and have 10+ years hands experience with Python, Software Architecture and Statistics Please share some details Plus

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(0 Commentaires)
0.0
ratneshpuri52

Hello Client, I am profession Machine Learning and Deep Learning developer. I have been practicing machine learning and deep learning for past 2 years and I am very proficient in it. I have on a whole range of project Plus

%bids___i_sum_sub_35% %project_currencyDetails_sign_sub_36% INR en 6 jours
(0 Commentaires)
0.0
tarasikis

Hello, I have python experience about 3 years and I`m good in working with data using pandas and matplotlib, so I can easily do that task it will take less than 2 days

%bids___i_sum_sub_35% %project_currencyDetails_sign_sub_36% INR en 2 jours
(0 Commentaires)
0.0