AI and ML
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Updated
Sep 20, 2021 - Jupyter Notebook
AI and ML
An app which can predict the prices of house based on training data and certain input parameters, deployed on Heroku.
Detecting Payment Card Fraud -supervised learning using SageMaker built-in LinearLearner estimator
This classifier web app basically developed using Streamlit (Python - framework) and it classifies the categories of "Diabetic" or "Not Diabetic" based on certain input parameters. In this app, we can choose different classifiers like; SVM, RandomForest, GridSearch, Logistics Regression, for the classification.
Demonstration of asymmetric cost functions in Linear Regression
Here the basic of the the Linear regression problem .
Tracking the sleeping schedule and calorie intake of a person based on hours spent on OTT(Over-the-top)
Analyzing prototype suspension coils data for production troubles.
Stock price prediction is a crucial aspect of financial markets, involving the use of mathematical models and machine learning techniques to forecast the future price movements of stocks or financial assets.
Regression is one of the foundational techniques in Machine Learning. Being one of the most well-understood algorithms, beginners always struggle to understand some fundamental terminology related to regression. In this series of projects, I will try to give you basic ideas of underlying concepts with the help of practical examples. If you are s…
Statistical Methods using R Programming
Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類
EDA analysis and a couple of models from classical machine learning on actual data as of 12.07.2023 about video games. Dataset from kaggle link in readme.
Simple salary prediction using machine learning models.
This repository contains a machine learning model designed to predict car prices based on various features. Using historical data on car attributes such as make, model, year, mileage, and other relevant factors, the model aims to provide accurate and reliable price estimates for used cars.
Bu çalışmanın amacı Makine Öğrenimi Modelleri kurulmadan önce Keşifsel Veri Analizi'nin önemini vurgulamaktır.
R programming
Linear Regression Multiple Variables : Sample problem of predicting home price in monroe, new jersey
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