The Electric Vehicles Market Size Analysis project is a comprehensive study aimed at understanding the current state and potential growth of the Electric Vehicles (EVs) market.
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Updated
May 10, 2024 - Jupyter Notebook
The Electric Vehicles Market Size Analysis project is a comprehensive study aimed at understanding the current state and potential growth of the Electric Vehicles (EVs) market.
This repository was created by me, a student who wants to learn machine learning !
A machine learning project which predicts Uber trip data for different factors.
The work uses Hopsworks for Feature store and creating Feature groups for Machine learning modeling
In this project, different machine learning approaches are used to detect the diabetes in patients using the PIMA Indians diabetes dataset.
Exploring Underrated Power of Bitcoin Utilities: comprehensive guide Google Colab and next big thing in cryptocurrency
Repository for a deep learning model that classifies images as either cats or dogs using deep learning techniques. The model is trained on a diverse dataset and achieves high accuracy in distinguishing between these two popular pet categories. Includes pre-processing scripts, model architecture, and evaluation metrics for seamless implementation
In this project, you will perform basic data analysis on a dataset of Airbnb listings. EDA is a fundamental step in data science that involves exploring and understanding the data before diving into more complex analysis or modeling.
Enhance data analysis and machine learning skills in the 'Industrial Copper Modeling' project. Tackle complex sales data challenges, employ regression models for pricing predictions, and master lead classification for targeted customer solutions
This is a Fertilizer Forecasting tool or an app, which predicts an optimal fertilizer from the collected soil and other depending factors. The tool is developed machine learning algorithms, streamlit-webapp. and streamlit-cloud.
Computer Vision and Image Processing
expert system using experta package-python
Automated Optical Inspection (AOI) [1] is a high-speed and high-precision optical image inspection system that uses machine vision as the standard inspection technology to improve the shortcomings of traditional manual inspection using optical instruments.
This project deals with predicting the sentiment of the customers of a restaurant. The technology used is Artificial Intelligence and Machine Learning.
Computer Vision and Image Processing
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