A collection of 8 Applied Data Science projects.
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Updated
Jun 3, 2024 - Jupyter Notebook
A collection of 8 Applied Data Science projects.
Examine the features of used cars posted on CarGurus at different times and locations to predict the selling price
Projects from the Learn SQL certification from Codecademy.
Complite Machine Learning With Python!
Future Price Prediction for Amazon Stocks usign Python and Polyninomal Reggression and Lineer Reggression
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
Modèles de classification binaire.
Using this ML file can anyone develop any machine learning alogitham in regression. almost 99.99 percent all regression models has been used. We need to pick the best machine learning algoritham using this file. Cheers Manju.
This is a very interesting project, this dataset contains a lot of NA values and many features to do exploratory analysis task. It's good if you use machine learning to build predictive models for Uber/Lyft price prediction
Agritech App - (Agri-Sasa) project digitizes farm quality control by automating farming processes
A collection of AI and ML projects demonstrating various techniques, algorithms, and applications.
This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.
A Regression-Based Assessment of Efficiency in Wireless Sensor Network Clustering energy efficiency study
Machine Learning Project to predict ratings.
This project aims to automate the task of predicting resale prices for cars using machine learning techniques.
A new library for all of the newest ai algorithms
Utilizing machine learning techniques, this project predicts vehicle prices based on features like age, fuel type, and more. Models include Linear Regression, Lasso Regression, and Random Forest. Dataset sourced from Kaggle.
Using GA to search polynomials that fit a given dataset
UArizona DataLab Workshops
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