Predicting the Churn Rate for a Ride-Sharing Company
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Updated
Sep 14, 2017 - Jupyter Notebook
Predicting the Churn Rate for a Ride-Sharing Company
Combining traditional and advanced metrics to make future predictions.
Decision Tree Classifier and Boosted Random Forest
This project is about to classify if an event is terrorist or other forms of crime as per the Global Standards.
👷 Predicting the price of construction machines with ML
Breast cancer detection using ANN and meta learning
Using Machine Learning for time series forecasting of photovoltaic measurement for solar systems based on weather features
Credit card users segmentation with multiple methods: K-means, agglomerative_clustering
Different ML Algorithms both in scripts & Jupyter Notebooks
This project has the aim to analyze the Heart Disease dataset to build a classifiers to predict whether people have heart disease or not.
Linear regression to predict housing prices based upon a series of property characteristics.
Real-World Machine Learning Consulting Projects with Machine Learning Models
A Repository for handling different complex machine learning algorithms like boosting etc. This repository contains/will contain all the important algorithms implemented on real data. The helper functions defined will prevent from writing complex codes and will help us realize our goal faster.
A GUI tool in Python to calculate water quality parameters
This includes graphic files in which various graphic tools have been used to create visual effects.
An app allowing you to predict the best possible time possible for a game speedrun.
Project for car valuation from otomoto.pl
This project compares the different machine learning models on Walmart Weekly Sales Data and predicts the weekly sales for the test data.
Building different regression models on Concrete Data to get best Concrete Compressive Strength
Add a description, image, and links to the gradient-boosting topic page so that developers can more easily learn about it.
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