A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
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Nov 6, 2023 - Python
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gridsearchcv
Here are 970 public repositories matching this topic...
A New, Interactive Approach to Learning Python
python data-science machine-learning types algorithms linear-regression structure pytorch logistic-regression random-forests gridsearchcv randomizedsearchcv
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Nov 8, 2023 - Jupyter Notebook
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
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Sep 8, 2022 - Jupyter Notebook
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
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Dec 29, 2021 - Jupyter Notebook
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
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Jul 18, 2023 - Jupyter Notebook
ExeRay AI detects malicious Windows executables using ML. Analyzes entropy, imports, and metadata for rapid classification, aiding incident response. Built with Python and scikit-learn.
python machine-learning ai random-forest detection scikit-learn machine-learning-algorithms malware python3 executable artificial-intelligence xgboost machinelearning exe malicious random-forest-classifier gridsearchcv benign aimodel xgboost-classifier
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Mar 30, 2026 - Python
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
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Oct 27, 2023 - HTML
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
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May 12, 2021 - Jupyter Notebook
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
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Jul 10, 2022 - Jupyter Notebook
⚓ ML system for submarine threat detection using SVM to classify sonar signals as mines or rocks. Features GridSearchCV optimization, sklearn pipelines, and comprehensive evaluation metrics for underwater anomaly recognition.
python data-science machine-learning pipeline scikit-learn classification sonar support-vector-machines underwater-acoustics hyperparameter-tuning submarine supervised-machine-learning gridsearchcv underwater-object-detection uci-dataset defense-technology
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Nov 24, 2025 - Python
I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.
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Mar 2, 2021 - HTML
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
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Jul 13, 2026 - Jupyter Notebook
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
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Oct 18, 2025 - Jupyter Notebook
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
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Mar 9, 2022 - Jupyter Notebook
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
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May 1, 2020 - Jupyter Notebook
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
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Jan 24, 2020 - Jupyter Notebook
A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.
numpy pandas seaborn xgboost matplotlib confusion-matrix classification-report gridsearchcv onehot-encoder train-test-split sckit-learn
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Mar 29, 2025 - Jupyter Notebook
Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
python data-science machine-learning telco sklearn machine-learning-algorithms plotly cross-validation classification accuracy feature-engineering churn-prediction imbalanced-data classification-algorithm feature-importance roc-auc gridsearchcv customer-churn-prediction customer-churn customer-churn-analysis
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Jan 5, 2023 - Jupyter Notebook
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
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May 20, 2024 - Python
Capstone Project Gold Price Prediction using Machine learning Approach for Udacity Machine Learning engineer Nanodegree Program
python machine-learning random-forest numpy pandas stock-price-prediction ensemble-learning ridge-regression gold udacity-nanodegree ensemble-model udacity-machine-learning-nanodegree lasso-regression support-vector-regression gridsearchcv sklearn-estimator matplotlib-pyplot
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Feb 6, 2019 - Jupyter Notebook
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