Car Price Predictor App used to predict the price of the car based on certain input parameters created using python's scikit-learn, fastapi, numpy and joblib packages.

Last update: May 10, 2022

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Deep Learning Pricefy

Overview

Pricefy

Car Price Predictor App used to predict the price of the car based on certain input parameters created using python's scikit-learn, fastapi, numpy and joblib packages.

Dataset Description :-

This dataset contains information about used cars. This data can be used for a lot of purposes such as price prediction to exemplify the use of linear regression in Machine Learning.

The data contains the following columns:

Feature Name	Feature Description
Name	Name of the Car model
Present_Price	Present showroom price of the car
Year	Car Model Year
Kms_Driven	Kilometers driven till now
Owner	No of Owners (0 or 1 or 2 or 3)
Fuel_Type	Type of Fuel (Petrol or Diesel or CNG)
Seller_Type	Whether seller is (Individual or Dealer)
Transmission	Transmission type (Automatic or Manual)
Selling_Price	Used Car selling price (Target) variable

Installation :-

Open Anaconda prompt and create new environment 👇

conda create -n your_env_name python = (any_version_number)

Then Activate the newly created environment 👇

conda activate your_env_name

To install all requirement packages for the app 👇

pip install -r requirements.txt

Then, Run the app 👇

uvicorn main:app --reload

Car Price Predictor App used to predict the price of the car based on certain input parameters created using python's scikit-learn, fastapi, numpy and joblib packages.

Related tags

Overview

Pricefy

Dataset Description :-

Installation :-

📷 Screenshots:-

Home page:-

About section:-

Developer section:-

Swagger UI:-

Redoc UI:-

Demo GIF Image 👇 :-

Owner

Siva Prakash

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Car Price Predictor App used to predict the price of the car based on certain input parameters created using python's scikit-learn, fastapi, numpy and joblib packages.

Related tags

Overview

Pricefy

Dataset Description :-

Installation :-

📷 Screenshots:-

Home page:-

About section:-

Developer section:-

Swagger UI:-

Redoc UI:-

Demo GIF Image 👇 :-

Owner

Siva Prakash

Crowd-sourced Annotation of Human Motion.

Scalable implementation of Lee / Mykland (2012) and Ait-Sahalia / Jacod (2012) Jump tests for noisy high frequency data

Web service for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation based on OpenFace 2.0

Unadversarial Examples: Designing Objects for Robust Vision

​ This is the Pytorch implementation of Progressive Attentional Manifold Alignment.

Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

GluonMM is a library of transformer models for computer vision and multi-modality research

Illuminated3D This project participates in the Nasa Space Apps Challenge 2021.

Machine Learning Platform for Kubernetes

Decensoring Hentai with Deep Neural Networks. Formerly named DeepMindBreak.

An implementation of Fastformer: Additive Attention Can Be All You Need in TensorFlow

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

SmallInitEmb - LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence

Code and data for ACL2021 paper Cross-Lingual Abstractive Summarization with Limited Parallel Resources.

Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs

Public implementation of the Convolutional Motif Kernel Network (CMKN) architecture

Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch

Tutorial repo for an end-to-end Data Science project

This is the official implementation of the paper "Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation".

This is the Pytorch implementation of Progressive Attentional Manifold Alignment.