cross-validation-score

There are 0 repository under cross-validation-score topic.

Lacerdash / Nested-Cross-Validation
Using scikit-learn RandomizedSearchCV and cross_val_score for ML Nested Cross Validation
cross-validation cross-validation-score hyperparameter-tuning machine-learning nested-cross-validation randomizedsearchcv sckit-learn vitrinedev
Language:Jupyter Notebook 2
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 machine-learning-algorithms scikit-learn predictive-modeling diabetes test-split-accuracy pima-indians-dataset supervised-learning-estimators python-3-5 numpy matplotlib-figures seaborn cross-validation-score roc-auc datascienceresearch
Language:Jupyter Notebook 2
bhulston / Random-Forest-on-Cancer-Classification
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
decision-tree-classifier hyperparameter-optimization scikit-learn seaborn-plots visualizations cross-validation-score grid-search-cross-validation sklearn-pipeline
Language:Jupyter Notebook 1
ccmkaaa / Python-Analysis-Clusterization-and-Classification
Iris dataset
classification clustering dbscan-clustering k-means-clustering python bootstrap cross-validation-score elbow-method iris-dataset jackknife optics-clustering random-forest random-forest-classifier silhouette-score spectral-clustering svm-classifier
Language:Jupyter Notebook 1
DataRohit / Car-Evaluation--Classification
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.
pandas numpy sklearn matplotlib-pyplot cross-validation-score classification-algorithm machine-learning
Language:Jupyter Notebook 1
femtonelson / Classifying-Songs-Genres-From-Audio-Data
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.
decision-tree-classifier logistic-regression pandas scikit-learn principal-component-analysis cross-validation-score
Language:Jupyter Notebook 1
ml-opt / tibfold
Calculate the bias of k-fold cross-validation with hyper-parameter configuration
machine-learning cross-validation-score tibshirani python sklearn-compatible
Language:Python 1
rahulg-101 / Ads-Click-Through-Rate
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.
cross-validation-score decisiontreeregressor linearregression matplotlib-pyplot notebook-jupyter numpy pandas python random-forest-regression sklearn standardscaler
Language:Jupyter Notebook 1
vaitybharati / KNN
K Nearest Neighbours in Python
python knn-classification cross-validation-score kneighborsclassifier gridsearchcv knn-model
Language:Jupyter Notebook 1
vaitybharati / Model-Validation-Methods
Model-Validation-Methods
python model-validation train-test-split cross-validation-score leave-one-out-cross-validation
Language:Jupyter Notebook 1
Varun-N-M / strength-of-concrete_using_ML_models
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 correlation-analysis cross-validation-score feature-engineering machine-learning-algorithms multi-variate-analysis pca-analysis
Language:Python 1
vvittis / MachineLearning
principle-component-analysis linear-discriminant-analysis-lda bayes-classifier minimum-risk neural-networks gradient-descent sigmoid-function softmax feature-selection cross-validation-score overfitting
1
adkwn1 / predict_gold_recovery
Project compares three regression models for predicting the amount of gold recovered from gold ore in order to optimize gold production and eliminate unprofitable parameters. Data provided by Zyfra.
cross-validation-score decision-tree-regression linear-regression numpy pandas plotly-express plotly-graph-objects python random-forest-regression sklearn smape
Language:Jupyter Notebook 0
BalajiSubrahmanyam12 / classification-of-the-iris-flower
In this classification i got up with best model for the iris flower data set and i used to code and made my own classification model. tried to visualize dataset and perform train test split as test data and train data by this i came up on Understanding the Evaluation metrics and accuracy score which given Understanding the hands on implementation of AI concepts theoretically learned.
artificial-intelligence deep-learning machine-learning regression-models classification cross-validation-score python-programming graph-analysis
0
BenMejedAmen / House_Price_Prediction
cross-validation-score decision-tree-regression gridsearchcv lasso-regression linear-regression matplotlib-pyplot numpy pandas python3 randomforestregressor randomizedsearchcv shuffle-split sklearn machine-learning
Language:Jupyter Notebook 0
deleusis / Data-Science-Gold-Recovery
Study Project for Yandex Practicum
cross-validation-score decision-tree-regression dummy-regressor linear-regression mae make-scorer matplotlib random-forest-regression seaborn cross-val
Language:Jupyter Notebook 0
HoHasby / FSDS_GridSearchCV_RandomSearchCV_SaveAndLoadModel
GridSearchCV, RandomSearchCV For Model optimization and Saving/Loading the model
cross-validation-score gridsearchcv joblib numpy pandas pickle python3 randomforest-regressor randomsearch-cv sklearn train-test-split
Language:Jupyter Notebook 0
HoHasby / GridSearchCV-For-Model-optimization
GridSearchCV For Model optimization
numpy classification-report confusion-matrix cross-validation-score grid-search-cross-validation knn-classifier label-encoder matplotlib-pyplot pandas pca pipeline roc-auc-curve seaborn sklearn standard-scaler svc-svm train-test-split
Language:Jupyter Notebook 0
HoHasby / Overcoming-overfitting-and-underfitting
Overcoming overfitting and underfitting
feature-extraction numpy pandas polynomial-regression python3 regularization resampling seaborn sklearn cross-validation-score data-science kfold-cross-validation python
Language:Jupyter Notebook 0
psanghal / machine_learning
Prediction Model, Bias and Uncertainty
auc-roc cross-validation-score dash-plotly dashboard knn-classification logistic-regression machine-learning random-forest support-vector-machines learning-analytics bootstrapping-statistics linear-regression uncertainty-estimation
Language:Jupyter Notebook 0
Anas436 / Cars-Price-Pediction-Evaluation-and-Refinement-Using-Python
cross-validation-score gridsearchcv ibm-watson jupyter-notebook linear-regression matplotlib model-selection numpy pandas polynomial-features python3 ridge scikitlearn seaborn sklearn tqdm
Language:Jupyter Notebook
angelicavelez / predict_the_amount_of_gold_mined
Model to predict the amount of gold extracted from gold mineral.
cross-validation-score data-analysis data-science interpolation machine-learning preprocessing-data regression-algorithms smape
Language:Jupyter Notebook
HillidatulIlmi / Project-Milestone
This folder contains project assignments that solve the problem of a case based on a dataset with hypothesis testing, Supervised and Unsupervised material.
cross-validation-score statistical-analysis supervised-learning visualization best-model
Language:Jupyter Notebook
iamkirankumaryadav / Titanic
Titanic Survivor Analysis and Prediction
python titanic-kaggle logistic-regression knn-classifier random-forest-classifier decision-tree-classifier support-vector-classifier cross-validation-score exploratory-data-analysis data-preprocessing data-modeling data-evaluation pandas numpy matplotlib seaborn scikit-learn
Language:Jupyter Notebook
jodiambra / Zyfra-Gold-Recovery-Predictions
Create a prototype for a machine learning model to predict the amount of gold recovered from gold ore.
cross-validation-score decision-tree dummy-regressor linear-regression machine-learning mean-squared-error numpy pandas plotly-express random-forest stats
Language:Jupyter Notebook
nani757 / Pipelines
pipelines chains together multiple steps so that the output of each step is used as input to the next step
chi2 columntransformer cross-validation-score decisiontreeclassifier gridsearchcv make-pipeline minmaxscaler onehotencoder pickle pipelines selectkbest simpleimputer
Language:Jupyter Notebook
prateekagr21 / Telecom-Loan-Prediction
A model which can predict if the customer will pay the loan or not.
random-forest-classifier cross-validation-score support-vector-machines
Language:Jupyter Notebook
Praveen2812git / supervised_learning
Different types of supervised learning models used for classification problem. Included cross validation for finding hyperparameters whenever necessaruy.
k-nearest-neighbours logistic-regression svm-classifier decision-tree-classifier random-forest-classifier cross-validation-score grid-search hyperparameter-tuning
Language:Jupyter Notebook
sultanazhari / predicting-amount-of-gold-extracted
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.
cross-validation-score decision-tree-regressor levene linear-regression matplotlib numpy pandas python3 scipy-stats seaborn train-test-using-sklearn
Language:Jupyter Notebook
Zauverer / Decision-Trees
decision-trees ames-housing-dataset cross-validation-score
Language:Jupyter Notebook
Zauverer / Support_Vector_Machine
svm pipeline gridsearchcv standard-scaler cross-validation-score suport-vec grid-search-cv
Language:Jupyter Notebook

cross-validation-score

Lacerdash / Nested-Cross-Validation

Shuyib / pimaMLsklearn

bhulston / Random-Forest-on-Cancer-Classification

ccmkaaa / Python-Analysis-Clusterization-and-Classification

DataRohit / Car-Evaluation--Classification

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

ml-opt / tibfold

rahulg-101 / Ads-Click-Through-Rate

vaitybharati / KNN

vaitybharati / Model-Validation-Methods

Varun-N-M / strength-of-concrete_using_ML_models

vvittis / MachineLearning

adkwn1 / predict_gold_recovery

BalajiSubrahmanyam12 / classification-of-the-iris-flower

BenMejedAmen / House_Price_Prediction

deleusis / Data-Science-Gold-Recovery

HoHasby / FSDS_GridSearchCV_RandomSearchCV_SaveAndLoadModel

HoHasby / GridSearchCV-For-Model-optimization

HoHasby / Overcoming-overfitting-and-underfitting

psanghal / machine_learning

Anas436 / Cars-Price-Pediction-Evaluation-and-Refinement-Using-Python

angelicavelez / predict_the_amount_of_gold_mined

HillidatulIlmi / Project-Milestone

iamkirankumaryadav / Titanic

jodiambra / Zyfra-Gold-Recovery-Predictions

nani757 / Pipelines

prateekagr21 / Telecom-Loan-Prediction

Praveen2812git / supervised_learning

sultanazhari / predicting-amount-of-gold-extracted

Zauverer / Decision-Trees

Zauverer / Support_Vector_Machine