cross-validation-score
There are 32 repositories under cross-validation-score topic.
Lacerdash/Nested-Cross-Validation
Using scikit-learn RandomizedSearchCV and cross_val_score for ML Nested Cross Validation
Shuyib/pimaMLsklearn
Using various supervised learning estimators in Sci-Kit Learn to get the best prediction accuracy if possible for the pima indians dataset.
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
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.
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.
ml-opt/tibfold
Calculate the bias of k-fold cross-validation with hyper-parameter configuration
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.
vaitybharati/KNN
K Nearest Neighbours in Python
vaitybharati/Model-Validation-Methods
Model-Validation-Methods
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.
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.
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.
deleusis/Data-Science-Gold-Recovery
Study Project for Yandex Practicum
HoHasby/FSDS_GridSearchCV_RandomSearchCV_SaveAndLoadModel
GridSearchCV, RandomSearchCV For Model optimization and Saving/Loading the model
HoHasby/GridSearchCV-For-Model-optimization
GridSearchCV For Model optimization
HoHasby/Overcoming-overfitting-and-underfitting
Overcoming overfitting and underfitting
maheera421/Car-Price-Prediction-Model
A machine learning project that predicts car prices based on a dataset.
psanghal/machine_learning
Prediction Model, Bias and Uncertainty
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.
angelicavelez/predict_the_amount_of_gold_mined
Model to predict the amount of gold extracted from gold mineral.
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.
iamkirankumaryadav/Titanic
Titanic Survivor Analysis and Prediction
jodiambra/Zyfra-Gold-Recovery-Predictions
Create a prototype for a machine learning model to predict the amount of gold recovered from gold ore.
nani757/Pipelines
pipelines chains together multiple steps so that the output of each step is used as input to the next step
prateekagr21/Telecom-Loan-Prediction
A model which can predict if the customer will pay the loan or not.
Praveen2812git/supervised_learning
Different types of supervised learning models used for classification problem. Included cross validation for finding hyperparameters whenever necessaruy.