Machine learning using python
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Updated
Nov 5, 2017 - Python
Machine learning using python
implementation of ridge and lasso regression from scratch
Implementation of different regression technique
R Data Mining and ML algo implementations(Learning Basics and notes)
Constructing a linear regression model which may help us predict the happiness score in the 155 countries.
In this project I used different regression algorithms to do regression to predict ticket price. I used Kaggles free GPUs and Machinehack Datasets in this project.
Comparing Ridge and LASSO model to find the best accuracy for Home Price Prediction
Developed a sophisticated Regression Model utilizing advanced algorithms like Linear Regression, Random Forest, to forecast Sales for historical sales data for 1,115 Rossmann stores in 7 European countries. Implemented various processing techniques, including Feature Scaling, Outlier Treatment, and Multicollinearity analysis, to improve accuracy.
IMDB Reviews Text Categorization Using Machine Learning Classifiers (Logistic Regression, Ridge Regression, Lasso Regression, Elastic Net Regression, KNN)
Machine Learning Regression model For Bike Sharing Demand Prediction
Simple Machine Learning Projects done for a Data Science Course
This repository contains code for predicting the price of mobile phones using regression models. It includes the implementation of various regression techniques such as Random Forest Regression, Decision Tree Regressor, Linear Regression, and Lasso Regression.
The objective of this study is to predict the max and min temp based on several parameters and represent it in a visual form.
This GitHub repository hosts the code and resources for predicting the closing prices of Yes Bank stock. Stock price prediction is a crucial task in the financial world, as accurate forecasts can assist investors and traders in making informed decisions.
This project develops a machine learning model to predict the salaries of baseball players based on their past performance.
Investigating how often member of congress talk about policies in their speeches, using Machine Learning.
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