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gridsearchcv

Here are 684 public repositories matching this topic...

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

  • UpdatedNov 6, 2023
  • Python

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

  • UpdatedSep 8, 2022
  • Jupyter Notebook

Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.

  • UpdatedDec 29, 2021
  • Jupyter Notebook

Bank customers churn dashboard with predictions from several machine learning models.

  • UpdatedJul 18, 2023
  • Jupyter Notebook

Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification

  • UpdatedMay 12, 2021
  • Jupyter Notebook

Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.

  • UpdatedOct 27, 2023
  • HTML

This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with İBB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Advanced Regression Techniques competition dataset.

  • UpdatedJul 10, 2022
  • Jupyter Notebook

I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.

  • UpdatedMar 2, 2021
  • HTML

iThome 13th-ironman (2021) - Data Science Learning Roadmap about Python

  • UpdatedMar 9, 2022
  • Jupyter Notebook

Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets

  • UpdatedMay 20, 2024
  • Python

Obtaining meaningful results from the data set using the model trained with machine learning methods.

  • UpdatedJan 4, 2023
  • Python

Open University Learning Analytics Dataset (OULAD) analysis exercise

  • UpdatedApr 11, 2024
  • Python

An anytime implementation of scikit-learn GridSearchCV

  • UpdatedDec 2, 2018
  • Python

Fake News Detection System for detecting whether news is fake or not. The model is trained using "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. Link for dataset:https://arxiv.org/abs/1705.00648.

  • UpdatedJan 24, 2020
  • Jupyter Notebook

In this project, we have to create a predictive model which allows the company to maximize the profit of the next marketing campaign

  • UpdatedApr 30, 2023
  • Jupyter Notebook

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