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#

k-fold

Here are 69 public repositories matching this topic...

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and s…

  • UpdatedJan 19, 2018
  • Jupyter Notebook

Harvard Project - Accuracy improvement by adding seasonality premium pricing

  • UpdatedDec 15, 2016
  • Jupyter Notebook

Deteksi penyakit pada (daun) jagung berbasis citra dengan menggunakan metode GLRLM dan FCH.

  • UpdatedJan 4, 2023
  • JavaScript

A minimal Deep learning library for the web.

  • UpdatedAug 19, 2020
  • JavaScript

Predict the type of arrhythmia based on Electro-cardiogram (ECG) tool using machine learning models and algorithms.

  • UpdatedNov 28, 2020
  • Jupyter Notebook

Spark ML Dashboard built to plug-in and tweak the model params to real-time verify classification results on sample test data

  • UpdatedOct 11, 2017
  • Scala

In this project using New York dataset we will predict the fare price of next trip. The dataset can be downloaded fromhttps://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips The dataset contains 2 Crore records and 8 features along with GPS coordinates of pickup and dropoff

  • UpdatedJun 13, 2019
  • Jupyter Notebook

This is the code for "Binary Classification using Keras Sequential, Functional and Model Subclassing" By M.Junaid Fiaz

  • UpdatedJul 27, 2018
  • Jupyter Notebook

Google colab notebook for the Kaggle Home prices submission

  • UpdatedSep 15, 2018
  • Python

Python and sklearn, KNN, logistic and linear regression, cross-validation

  • UpdatedApr 11, 2018
  • Python

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