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Chetan-Yeola

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Build the linear regression model using scikit learn in boston data to predict 'Price' based on other dependent variable.

Perceptron-Implementation

Jupyter Notebook

CarPricePrediction

Jupyter Notebook

Books-Recommender-System-Using-Machine-Learning

Jupyter Notebook

Matplitlib-Assignment

Jupyter Notebook

Auto-Essay

JavaScript

Assignment_02

Python

Examples_of_pandas_ai

Data-Visualization

Assignment_05

Python-Game

Chetan-Yeola.github.io

Assignment_03

Python

Face_Recognition

Python

Chetan-Yeola

Config files for my GitHub profile.

Air_Quality

Jupyter Notebook

image-segmentation

Rich Text Format

Eassay-Scoring

Assignment_04

Assignment_01

Web_Scrapper

Wall-Crack-Detection-system

Python

HappyMonk-Challenge

Jupyter Notebook

Wine_data

Vehicles-Count-Using-Object-Detection

Object detection is proven to be a great tool for detecting many things. We tried to calculate the total number of vehicles passing road at particular instance of time. This kind of technology we can use to count fast moving objects with greater accuracy. This will help to calculate average density of vehicles on particular road and will help to manage traffic effectively with lesser human interference.

Jupyter Notebook

Langchain-Example

Langchain Demo With OPENAI API

Python

Chetan-Yeola/Machine_Learning_Linear_Regression-

Chetan-Yeola

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