gridsearchcv

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

pipeline random-forest prediction stock logistic-regression predictive-analysis stocks adaboost predictive-modeling algorithmic-trading decision-tree svm-classifier quadratic-discriminant-analysis parameter-tuning guassian-processes gridsearchcv knn-classifier

UpdatedSep 8, 2022
Jupyter Notebook

Pradnya1208 /Telecom-Customer-Churn-prediction

Star70

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.

python machine-learning numpy sklearn plotly cross-validation pandas classification feature-engineering model-evaluation classification-algorithm roc-auc gridsearchcv customer-churn-prediction customer-churn-analysis

UpdatedDec 29, 2021
Jupyter Notebook

zunicd /Bank-Churn-Prediction

Star48

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

python flask scikit-learn matploblib pipelines pandas seaborn jupyter-notebooks keras-tensorflow smote gridsearchcv html-css-bootstrap imbalanced-learn

UpdatedJul 18, 2023
Jupyter Notebook

30lm32 /ml-spam-sms-classification

Star30

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

nlp machine-learning deep-learning pipeline svm word2vec naive-bayes sklearn sms keras ml randomforest classification gensim tf-idf statsmodels spam-classification lstm-neural-networks gridsearchcv sms-classification

UpdatedMay 12, 2021
Jupyter Notebook

the-mrinal /ML-Notebook

Star26

Karma of Humans is AI

notebook text-classification linear-regression matploblib naive-bayes-classifier pca-analysis logistic-regression gradient-descent confusion-matrix used-cars svm-classifier feature-scaling decision-tree-algorithm numpy-arrays logisticregression gridsearchcv knn-classifier

UpdatedMar 9, 2020
Jupyter Notebook

MatteoM95 /Default-of-Credit-Card-Clients-Dataset-Analisys

Star22

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

machine-learning exploratory-data-analysis pca-analysis logistic-regression decision-trees svm-classifier smote oversampling undersampling random-forest-classifier gridsearchcv uci-dataset oversampling-technique

UpdatedOct 27, 2023
HTML

parvvaresh /ETL-news

Star21

sqlite3 tf-idf preprocessing webscraping hyperparameter-tuning classification-algorithm gridsearchcv etl-pipeline

UpdatedAug 12, 2024
HTML

uzunb /house-prices-prediction-LGBM

Star20

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.

data-science data-visualization house-price-prediction grid-search-hyperparameters gridsearchcv lgbm streamlit lgbmregressor streamlit-dashboard grid-search-cross-validation grid-search-cv streamlit-application streamlit-sharing streamlit-ui lgbm-regressor

UpdatedJul 10, 2022
Jupyter Notebook

hyeonsangjeon /Hyperparameters-Optimization

Star17

Hyperparameters-Optimization

optimization hyperparameter-optimization grid-search bayesian-optimization hyperparameter-tuning random-search hpo hyperparameter hyperparameter-search tpe gridsearchcv hyperband tree-structured randomsearchcv hyperbandsearchcv bayessearchcv fmin tree-of-parzen-estimator

UpdatedMar 22, 2023
Jupyter Notebook

ThinamXx /CaliforniaHousing__Prices

Star16

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

python3 decision-trees gridsearchcv randomizedsearchcv randomforestregressor

UpdatedMar 2, 2021
HTML

erik1110 /Data-Science

Star15

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

git postgres machine-learning random-forest svm keras regression pandas lightgbm psycopg2 decision-trees knn gridsearchcv shap fastapi xgbost

UpdatedMar 9, 2022
Jupyter Notebook

franneck94 /TensorCross

Sponsor

Star15

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

python validation tensorflow cross-validation dataset grid-search random-search gridsearchcv gridsearch tensorflow-datasets tensorflow2

UpdatedMay 20, 2024
Python

BerkKilicoglu /ML-Modelling-Disease-Analysis

Star14

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

visualization machine-learning grid feature-selection pca-analysis data-analysis cluster-analysis gradient-boosting gridsearchcv train-model

UpdatedJan 4, 2023
Python

ElizabethSeidle /OULAD

Star13

Open University Learning Analytics Dataset (OULAD) analysis exercise

machine-learning shapely random-forest-classifier gridsearchcv

UpdatedApr 11, 2024
Python

satishgunjal /House-Price-Prediction-Project

Star13

Contains all my data science projects.

python data-science numpy pandas-dataframe linear-regression pandas python3 dimensionality-reduction matplotlib outlier-detection feature-engineering data-cleaning hyperparameter-tuning kfold-cross-validation gridsearchcv pandas-python colab-notebook data-loading matplotlib-python numpy-array

UpdatedMay 1, 2020
Jupyter Notebook

OryJonay /anytime-gridsearch

Star12

An anytime implementation of scikit-learn GridSearchCV

machine-learning search-algorithm anytime-algorithms gridsearchcv

UpdatedDec 2, 2018
Python

raj1603chdry /Fake-News-Detection-System

Star11

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.

machine-learning pipeline random-forest scikit-learn pattern-library word-cloud nltk naive-bayes-classifier logistic-regression data-preprocessing fake-news pos-tagging svm-classifier count-vectorizer custom-transformer voting-classifier gridsearchcv tfidf-vectorizer

UpdatedJan 24, 2020
Jupyter Notebook

adiag321 /CRM-Analysis-for-Marketing-data

Star10

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

machine-learning statistics data-analysis hyperparameter-tuning classification-algorithm feature-importance gridsearchcv crm-analysis shap-values marketing-analysis

UpdatedApr 30, 2023
Jupyter Notebook

Improve this page

Add a description, image, and links to thegridsearchcv topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with thegridsearchcv topic, visit your repo's landing page and select "manage topics."

Learn more

Movatterモバイル変換

Navigation Menu

Search code, repositories, users, issues, pull requests...

Provide feedback

Saved searches

Use saved searches to filter your results more quickly