This is a Machine Learning based project, where house prices are predicted based on 81 features given in the dataset. I used two regression techniques to compare which regression technique gives better results.
The purpose of this study was to compare the performance of Pymaceuticals’ drug of interest, Capomulin, against the other treatment regimens.
Machine Learning Project
Machine learning final Project.
In this Project we will Analysis the data from twitter that how people uses their opinion on the Russia and Ukraine war
A scraping project with data visualization
Tableau Homework - New York Citi Bike Sharing Program Dashboard
Analyze house price data using univariate, bivariate, and multivariate analysis.
This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by Aurélien Géron.
This is the template that I use to wrangle data with Python.
Python- Data Visualization
Analysis on customer acquisition data to determine the marketing channel with highest return on investment.
This project provides a comprehensive framework for evaluating classification models and selecting the best algorithm based on performance metrics. It demonstrates the importance of hyperparameter tuning and model comparison in machine learning workflows.
NYC Bike Availability Predictor
Design and create an Employee Database based on some CSV files and analysis related to this data
Data was obtained from FDIC bank records API and the FDIC Bank List.
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