cross-validation-score

Here are 34 public repositories matching this topic...

Shuyib / pimaMLsklearn

Using various supervised learning estimators in Sci-Kit Learn to get the best prediction accuracy if possible for the pima indians dataset.

machine-learning numpy scikit-learn machine-learning-algorithms seaborn python-3-5 diabetes predictive-modeling matplotlib-figures test-split-accuracy pima-indians-dataset supervised-learning-estimators cross-validation-score roc-auc datascienceresearch

Updated Sep 17, 2022
Jupyter Notebook

Salma0-8 / Predicting-Chatbot-Response-Preferences-with-LLMs

Star

I developed a sophisticated ML model using LLMs to predict user preferences in chatbot interactions.implemented a comprehensive data preprocessing pipeline,including feature extraction and encoding,to optimize performance. conducted extensive hyperparameter tuning and evaluation, enhancing accuracy and in AI-driven conversational systems.

machine-learning ai accuracy hyperparameter-tuning logloss cross-validation-score sklearn-library datapreprocessing featureengineering modelevaluation tf-idf-vectorization llms

Updated Oct 25, 2024
Jupyter Notebook

Lacerdash / Nested-Cross-Validation

Star

Using scikit-learn RandomizedSearchCV and cross_val_score for ML Nested Cross Validation

machine-learning cross-validation hyperparameter-tuning cross-validation-score nested-cross-validation sckit-learn randomizedsearchcv vitrinedev

Updated Jun 19, 2023
Jupyter Notebook

vaitybharati / Model-Validation-Methods

Star

Model-Validation-Methods

python model-validation leave-one-out-cross-validation cross-validation-score train-test-split

Updated Nov 13, 2020
Jupyter Notebook

bhulston / Random-Forest-on-Cancer-Classification

Star

Built Random Forest classifier from scratch on top of Scikit Learn decision trees. Using Scikit Learn to create data cleaning pipelines, perform grid searches for hyper parameter tuning, and decision tree modeling

scikit-learn hyperparameter-optimization visualizations decision-tree-classifier cross-validation-score sklearn-pipeline seaborn-plots grid-search-cross-validation

Updated Feb 3, 2023
Jupyter Notebook

DataRohit / Car-Evaluation--Classification

Star

This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.

machine-learning numpy sklearn pandas classification-algorithm cross-validation-score matplotlib-pyplot

Updated Sep 29, 2021
Jupyter Notebook

ccmkaaa / Python-Analysis-Clusterization-and-Classification

Star

Iris dataset

python bootstrap random-forest clustering classification svm-classifier jackknife iris-dataset optics-clustering dbscan-clustering spectral-clustering k-means-clustering random-forest-classifier elbow-method cross-validation-score silhouette-score

Updated Dec 20, 2023
Jupyter Notebook

vaitybharati / KNN

Star

K Nearest Neighbours in Python

python knn-classification kneighborsclassifier knn-model cross-validation-score gridsearchcv

Updated Jan 24, 2021
Jupyter Notebook

ml-opt / tibfold

Star

Calculate the bias of k-fold cross-validation with hyper-parameter configuration

python machine-learning sklearn-compatible cross-validation-score tibshirani

Updated Jun 6, 2023
Python

vvittis / MachineLearning

Star

feature-selection neural-networks gradient-descent bayes-classifier softmax principle-component-analysis sigmoid-function overfitting cross-validation-score linear-discriminant-analysis-lda minimum-risk

Updated Oct 30, 2021

rahulg-101 / Ads-Click-Through-Rate

Star

In this project, I have developed a Machine Learning model to predict whether users will click on ads. By analyzing various characteristics of users who click on ads, we can gain valuable insights and optimize ad campaigns for better engagement.

python numpy sklearn pandas linearregression cross-validation-score random-forest-regression notebook-jupyter matplotlib-pyplot standardscaler decisiontreeregressor

Updated Jun 20, 2023
Jupyter Notebook

femtonelson / Classifying-Songs-Genres-From-Audio-Data

Star

Exploring a music dataset by examining correlations between numerical variables, running a principal component analysis for dimensionality reduction and finally fitting both scikit learn Decision Tree Classification and Logistic Regression models to compare their performance.

scikit-learn pandas logistic-regression principal-component-analysis decision-tree-classifier cross-validation-score

Updated Feb 1, 2020
Jupyter Notebook

Varun-N-M / strength-of-concrete_using_ML_models

Star

Machine learning model which can predict the strength of a mixture for given composition of ingredients like cement, slag, ash, water, superplastic, coarse aggregates, fine aggregates, age.

exploratory-data-analysis machine-learning-algorithms pca-analysis feature-engineering cross-validation-score correlation-analysis multi-variate-analysis

Updated Feb 20, 2023
Python

iamkirankumaryadav / Titanic

Star

Titanic Survivor Analysis and Prediction

python numpy scikit-learn exploratory-data-analysis pandas seaborn titanic-kaggle logistic-regression matplotlib data-preprocessing data-modeling decision-tree-classifier support-vector-classifier data-evaluation random-forest-classifier cross-validation-score knn-classifier

Updated Jul 10, 2020
Jupyter Notebook

HoHasby / GridSearchCV-For-Model-optimization

Star

GridSearchCV For Model optimization

pipeline numpy sklearn pandas seaborn pca confusion-matrix classification-report cross-validation-score knn-classifier matplotlib-pyplot svc-svm train-test-split label-encoder grid-search-cross-validation roc-auc-curve standard-scaler

Updated Sep 21, 2022
Jupyter Notebook

HoHasby / FSDS_GridSearchCV_RandomSearchCV_SaveAndLoadModel

Star

GridSearchCV, RandomSearchCV For Model optimization and Saving/Loading the model

numpy sklearn pandas python3 pickle cross-validation-score gridsearchcv joblib train-test-split randomsearch-cv randomforest-regressor

Updated Sep 22, 2022
Jupyter Notebook

sultanazhari / predicting-amount-of-gold-extracted

Star

Zyfra is engaged in developing efficient solutions for heavy industry. as a Data Scientist we should be able to predict the amount of gold extracted or recovered from gold ore.