randomizedsearchcv

There are 0 repository under randomizedsearchcv topic.

PacktWorkshops / The-Python-Workshop
A New, Interactive Approach to Learning Python
algorithms data-science gridsearchcv linear-regression logistic-regression machine-learning python pytorch random-forests randomizedsearchcv structure types
Language:Jupyter Notebook 248
ThinamXx / CaliforniaHousing__Prices
I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.
randomforestregressor decision-trees python3 gridsearchcv randomizedsearchcv
Language:HTML 13
ashishrana1501 / Forest-Fire-Prediction
Algerian Forest Fire Prediction
feature-engineering feature-selection flask hyperparameter-tuning linear-regression logistic-regression machine-learning modeling random-forest-classifier random-forest-regression randomizedsearchcv xgboost-classifier xgboost-regression data-science deployment jupyter-notebook python sklearn
Language:Jupyter Notebook 11
rochitasundar / Predictive-maintenance-cost-minimization-using-ML-ReneWind
The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.
classification-algorithims cross-validation smote-sampling random-under-sampling train-validation-test sklearn-metrics pipeline randomizedsearchcv
Language:Jupyter Notebook 10
esvs2202 / Concrete-Compressive-Strength-Prediction
The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.
python3 anaconda jupyter-notebook pycharm-ide pandas numpy matplotlib-pyplot seaborn machine-learning-algorithms data-visualization statsmodels scikit-learn xgboost-regression randomizedsearchcv joblib flask gunicorn-web-server heroku-deployment html5
Language:Jupyter Notebook 9
somjit101 / Facebook-Friend-Recommendation
This is a friend recommendation systems which are used on social media platforms (e.g. Facebook, Instagram, Twitter) to suggest friends/new connections based on common interests, workplace, common friends etc. using Graph Mining techniques. Here, we are given a social graph, i.e. a graph structure where nodes are individuals on social media platforms and a directed edges (or 'links') indicates that one person 'follows' the other, or are 'friends' on social media. Now, the task is to predict newer edges to be offered as 'friend suggestions'.
facebook-friend-recommendation machine-learning graph graph-algorithms graph-theory social-network social-network-analysis graph-similarity bagging-ensemble boosting-ensemble gradient-boosting decision-tree-classifier decision-trees xgboost randomizedsearchcv cross-validation
Language:Jupyter Notebook 9
Machine-Learning-Prediction-of-California-House-Prices
Tejas-TA / Machine-Learning-Prediction-of-California-House-Prices
The repository contains the California House Prices Prediction Project implemented with Machine Learning. The app was deployed on the Flask server, implemented End-to-End by developing a front end to consume the Machine Learning model, and deployed in Azure, Google Cloud Platform, and Heroku. Refer to README.md for demo and application link
regression-models machine-learning artificial-intelligence pandas-dataframe numpy seaborn sklearn flask heroku jupyter-notebook data-science matplotlib javascript-library bootstrap4 azure gcp-compute-engine california-house-prices hyperparameter-tuning randomizedsearchcv gridsearchcv
Language:Jupyter Notebook 5
RudraChatterjee / Machine-Failure_Prediction_EnsembleMethods_ModelTuning
This project predicts wind turbine failure using numerous sensor data by applying classification based ML models that improves prediction by tuning model hyperparameters and addressing class imbalance through over and under sampling data. Final model is productionized using a data pipeline
adaboost bagging-classifier boosting class-imbalance datapipeline gradient-boosting hyperparameter-tuning machine-learning-algorithms oversampling random-forest-classifier undersampling xgboost cross-validation missing-value-imputation randomizedsearchcv
Language:Jupyter Notebook 4
Ayda-Darvishan / Tuning-ML-Classifiers
The project includes building seven different machine learning classifiers (including Linear Regression, Decision Tree, Bagging, Random Forest, Gradient Boost, AdaBoost, and XGBoost) using Original, OverSampled, and Undersampled data of ReneWind case study, tuning hyperparameters of the models, performance comparisons, and pipeline development for productionizing the final model.
supervised-learning tuning-parameters random-forest bagging-ensemble boosting-ensemble gradient-boosting adaboost xgboost cross-validation pipeline oversampling undersampling exploratory-data-analysis randomizedsearchcv gridsearchcv
Language:Jupyter Notebook 3
alavi-sam / salary-prediction
A comprehensive analysis and predictive modeling of the "Salary Data.csv" dataset to forecast salaries. Utilizes advanced machine learning techniques, including pipelines and transformers, for robust and accurate predictions.
columntransformer data-science data-visualization dataanalytics eda hyperparameter-optimization machine-learning pipeline randomizedsearchcv regression
Language:Jupyter Notebook 2
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
ohmthanap / Churn-Predictions-Telecom-Customer
Developed a churn prediction classification model using various techniques including: EDA, Decision trees, Naive Bayes, AdaBoost, MLP, Bagging, RF, KNN, logistic regression, SVM, Hyperparameter tuning using Grid Search CV and Randomized Search CV.
adaboost bagging churn-prediction decision-tree-classifier exploratory-data-analysis multilayer-perceptron naive-bayes-classifier random-forest gridsearchcv k-nearest-neighbours logistic-regression randomizedsearchcv support-vector-machine jupyter-notebook matplotlib-pyplot numpy-library pandas-library python scikit-learn seaborn
Language:Jupyter Notebook 2
abhijha3011 / Hyper-Parameter-Optimization-Techniques
Hyper Parameter Techniques
gridsearchcv randomizedsearchcv bayesian-optimization optuna tpot
Language:Jupyter Notebook 1
Akanksha-tetwar / Car-Prediction
This notebook uses RandomForestRegressor to predict the re-sale value of a car.
numpy pandas random-forest randomizedsearchcv sklearn
Language:Jupyter Notebook 1
amit-timalsina / California-Housing-Price-Prediction
I have built a Model using the Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.
python3 cross-validation decision-tree-regression random-forest-regression support-vector-machines sckit-learn-pipeline grid-search-cv randomizedsearchcv
Language:Jupyter Notebook 1
astonglen / AirBnb-Price-Prediction
The ability to predict prices and features affecting the appraisal of property can be a powerful tool in such a cash intensive market for a lessor. Additionally, a predictor that forecasts the number of reviews a specific listing will get may be helpful in examining elements that affect a property's popularity.
gridsearchcv hyperparameter-tuning lasso-regression linear-regression principal-component-analysis-pca random-forest-regression randomizedsearchcv stochastic-gradient-descent bayesian-ridge-regression
Language:Jupyter Notebook 1
DataScienceVishal / Telecom_Churn
Telecom Churn prediction with multiple machine learning models
decision-trees eda gridsearchcv logisitic-regression pca random-forest randomizedsearchcv
Language:Jupyter Notebook 1
iamkirankumaryadav / Classification
Classification Model (End to End Classification of Heart Disease - UCI Data Set)
classification heartdisease logistic-regression randomforestclassifier knn model-evaluation randomizedsearchcv gridsearchcv evaluation-metrics accuracy score precision recall f1-score roc-curve auc data-visualization exploratory-data-analysis eda heatmap
Language:Jupyter Notebook 1
iamkirankumaryadav / Improvement
Improving a Machine Learning Model
python numpy pandas matplotlib randomized-search-cross-validation randomizedsearchcv grid-search-cross-validation gridsearchcv randomforestclassifier accuracy-score precision-score recall-score f1-score
Language:Jupyter Notebook 1
jesussantana / Supervised-Regression
Practice and become familiar with regressions
supervised-regression python random-forest regression-models neural-network regressions lazzyregressor randomizedsearchcv
Language:Jupyter Notebook 1
MaoIlich / Project-3-Ensemble-Techniques---Term-Deposit-Sale
Goal Using the data collected from existing customers, build a model that will help the marketing team identify potential customers who are relatively more likely to subscribe term deposit and thus increase their hit ratio
ensemble-models logistic-regression supervised-learning decision-tree-classifier bagging-trees adaboostclassifier gradient-boosting-classifier random-forest-classifier xgboost-classifier lightbgm randomizedsearchcv graphviz
Language:Jupyter Notebook 1
Bulldozer-_price_prediction
MINEEJA / Bulldozer-_price_prediction
Predicting the sale price of Bulldozers using RandomForestRegressor
python random-forest-regressor randomizedsearchcv time-series-forecasting
Language:Jupyter Notebook 1
rukshar69 / Flight-Price-Prediction
Predict Prices for Indian Flights
eda plotly prediction-model randomforestregressor randomizedsearchcv seaborn streamlit
Language:Jupyter Notebook 1
seroetr / Disaster-Tweets-with-NLP
Disaster Tweets Classifications by Machine Learning, which is a currently Kaggle Competition.
catboost-classifier kaggle-competition lightgbm-classifier machine-learning natural-language-processing nlp randomforestclassifier randomizedsearchcv tfidf-vectorizer xgboost-classifier
Language:Jupyter Notebook 1
Simon-157 / AI-final-project
A comprehensive data science project for analysing eCormmerce and online shops data for possibility to enegage customer retention to increase purchases. Trained and comprehensively evaluated machine learning models using different algorithms and tuning procedures.
confusion-matrix cross-validation feature-engineering gridsearchcv hyperparameter-optimization k-fold-cross-validation knn-classification machine-learning-algorithms random-forest randomizedsearchcv roc-curve xgboost-algorithm
Language:Jupyter Notebook 1
Alli3d / hyperparameter_tuning_iris_dataset
Hyperparameter tuning for iris dataset (GridSearchCV, RandomizedSearchCV)
gridsearchcv hyperparameter-optimization randomizedsearchcv
Language:Python 0
Ashwin0229 / Tree-Classifiers
Comparative Analysis of Decision Tree Algorithms in Number Classification: Bagging vs. Random Forest vs. Gradient Boosting Decision Tree Classifiers
bagging-classifier decision-tree-classifier gradient-boosting-classifier gridsearchcv python3 random-forest-classifier randomizedsearchcv sklearn-library train-test-using-sklearn
Language:Python 0
hugohiraoka / Bank_Customer_Churn_Prediction
Model to predict bank customer churn
adam-optimizer batch-normalization dropout gridsearchcv hyperparameter-optimization neural-networks randomizedsearchcv stochastic-gradient-descent
Language:HTML 0
StartrexII / tuningHyperparameters
study of hyperparameter tuning methods
gridsearchcv hyperopt hyperopt-sklearn hyperparameter-tuning logistic-regression optuna randomforestclassifier randomizedsearchcv
Language:HTML 0
Ayomikun17 / Diabetes-Prediction-
Diabetes Prediction with Tree based models (Random Forest and XGBoost). Grid Search CV and Randomized Search CV used to optimize parameters
grid-search-cv random-forest randomizedsearchcv xgboost
Language:Jupyter Notebook
DataScienceVishal / Bank_Customer_Behaviour
Bank Customer Behaviour Prediction
cross-validation dummy-variables-encoding logistic-regression minmaxscaling randomizedsearchcv rfe rfecv
Language:Jupyter Notebook
felipenufisnor / ML_random_exploration
Machine Learning: Optimization with Random Exploration
machine-learning random-forest randomizedsearchcv
Language:Jupyter Notebook
GunturWibawa / SweetLiftSalesAnalysis
Sweet Lift Taxi collected airport order data. As a Data Scientist, I developed a model to predict taxi orders for the next hour. The goal is to draw more drivers at peak times, targeting an RMSE under 48 on the test set.
matplotlib-pyplot numpy pandas prophet-model python3 randomizedsearchcv rmse-score statsmodels xgboost
Language:Jupyter Notebook
KumaarBalbir / HyperTuning
Different techniques to tune the hyperparameter of machine learning models.
bayesian-optimization gridsearchcv hyperopt hyperparameter-optimization hyperparameter-tuning optuna randomizedsearchcv
Language:Python
Oyebamiji-Micheal / Estimating-the-Yield-of-Digital-Green-Crop
An active competition on Zindi which involves estimating the crop yield for farms in India with a focus on Bayesian Optimization
bayesian-optimization gridsearchcv randomizedsearchcv sklearn zindi-competition
Language:Jupyter Notebook
Shardy2907 / House-Price-Prediction
A Machine Learning Regression Model has been used to predict the prices for houses in Boston.
boston-housing-price-prediction hyperparameter-tuning machine-learning randomizedsearchcv regression xgboost-regression
Language:Jupyter Notebook

randomizedsearchcv

PacktWorkshops / The-Python-Workshop

ThinamXx / CaliforniaHousing__Prices

ashishrana1501 / Forest-Fire-Prediction

rochitasundar / Predictive-maintenance-cost-minimization-using-ML-ReneWind

esvs2202 / Concrete-Compressive-Strength-Prediction

somjit101 / Facebook-Friend-Recommendation

Tejas-TA / Machine-Learning-Prediction-of-California-House-Prices

RudraChatterjee / Machine-Failure_Prediction_EnsembleMethods_ModelTuning

Ayda-Darvishan / Tuning-ML-Classifiers

alavi-sam / salary-prediction

Lacerdash / Nested-Cross-Validation

ohmthanap / Churn-Predictions-Telecom-Customer

abhijha3011 / Hyper-Parameter-Optimization-Techniques

Akanksha-tetwar / Car-Prediction

amit-timalsina / California-Housing-Price-Prediction

astonglen / AirBnb-Price-Prediction

DataScienceVishal / Telecom_Churn

iamkirankumaryadav / Classification

iamkirankumaryadav / Improvement

jesussantana / Supervised-Regression

MaoIlich / Project-3-Ensemble-Techniques---Term-Deposit-Sale

MINEEJA / Bulldozer-_price_prediction

rukshar69 / Flight-Price-Prediction

seroetr / Disaster-Tweets-with-NLP

Simon-157 / AI-final-project

Alli3d / hyperparameter_tuning_iris_dataset

Ashwin0229 / Tree-Classifiers

hugohiraoka / Bank_Customer_Churn_Prediction

StartrexII / tuningHyperparameters

Ayomikun17 / Diabetes-Prediction-

DataScienceVishal / Bank_Customer_Behaviour

felipenufisnor / ML_random_exploration

GunturWibawa / SweetLiftSalesAnalysis

KumaarBalbir / HyperTuning

Oyebamiji-Micheal / Estimating-the-Yield-of-Digital-Green-Crop

Shardy2907 / House-Price-Prediction