In this regression project, We will make use of different features like age, BMI, region, sex, smoker, etc to predict the medical insurance cost for an individual.
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Updated
Nov 1, 2021 - Jupyter Notebook
In this regression project, We will make use of different features like age, BMI, region, sex, smoker, etc to predict the medical insurance cost for an individual.
Airline Fare Prediction using Regression
Pong with Pygame and k-NN Prediction Algorithm (KNeighborsRegressor) for Opponent
Explore and predict the used car price by building the machine learning model based on the existing data. Then examining the model between the actual price and the predicted price.
Ensamble Voting for Financial Time Series
This repository contains introductory notebooks for KNN algorithm
Developed student performance predicting model, showing strong understanding of predictive modeling techniques.
Predicting monthly sales using Machine Learning, kneighborsregressor
Diamond Price Predictor - Web Application: Predict diamond prices using various regression models: Linear Regression, Lasso, Ridge, ElasticNet, Decision Tree Regressor, Random Forest Regressor, and KNeighbors Regressor. The chosen Random Forest Regressor, with a remarkable accuracy of 97%, is deployed in a user-friendly Flask app
This repo hosts an end-to-end machine learning project designed to cover the full lifecycle of a data science initiative. The project encompasses a comprehensive approach including data Ingestion, preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, hyperparameter tuning, and cloud deployment.
What important conclusion a company and an employee can take out of Analysis and Predicting Salary
Data Analytics - Penerapan metode CRISP DM
Analyzing Instagram Reach
📈📊 Data Science Notebooks . ▫️ Aplicación de algoritmos de ML para la resolución de problemas de aprendizaje supervisado (Clasificación y Regresión)
Predicting diamond prices helps buyers and sellers make informed decisions by understanding market trends and potential future values.
Predicting Compressive Strength of Concrete
Progetto: Machine Learning
Store Sales Time Series Forecast & Visualization
Implementing different regression models on Data Scientists salary dataset.
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