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Topic: "tuning-hyperparameters"

DLR-RM/rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Language: Python - Size: 3.83 MB - Last synced at: 23 days ago - Pushed at: 2 months ago - Stars: 2,577 - Forks: 569

moreira-and/time-series-prediction-rnn

Practical project for time series prediction using recurrent neural networks (RNN) with Python.

Language: Jupyter Notebook - Size: 45.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

qweryrr/Intro_to_Machine_Learning_Project

Intro to Machine Learning Project from TripleTen

Size: 1.95 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

PaPJoIN/time-series-forecasting-arima-ml

Utilising time series analysis techniques - ARIMA, Deep Learning, and Hybrid Methods to forecast book sales and model demand.

Size: 4.88 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sabin74/rossmann_sales_forecast

This project forecasts daily sales for Rossmann stores using historical data, store metadata, and engineered features. We use the Random Forest Regression & XGBoost regression model to capture complex patterns and improve predictive accuracy.

Language: Jupyter Notebook - Size: 298 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

bayram-naouar/customer-segmentation-ecommerce

Customer segmentation project using RFM analysis and clustering algorithms (K-Means, DBSCAN, GMM) to identify distinct customer groups based on purchasing behavior. Includes visualization, evaluation metrics, and parameter tuning methods to support business insights and marketing strategies.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

debanganghosh08/Prime_ML_Model

This is the official repository of Debangan Ghosh. Here I made a Streamlit App for my Fine tuned ML prediction models for MASAI Hackathon

Language: Python - Size: 1.28 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Ehsan-Behzadi/Breast-Cancer-Prediction-Model

This project implements a machine learning model to predict breast cancer diagnosis. Utilizing techniques such as data preprocessing, feature selection, and various algorithms, the model aims to assist in early detection and improve healthcare outcomes. Explore the repository to understand the methodology and technologies used in this project.

Language: Jupyter Notebook - Size: 793 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Ehsan-Behzadi/A-Machine-Learning-Approach-Using-the-Pima-Indians-Diabetes-Dataset

This repository features a machine learning project utilizing the Pima Indians Diabetes Dataset to predict diabetes risk. It explores data preprocessing, model training, and evaluation using techniques such as Naive Bayes and K-Nearest Neighbors (KNN) . The aim is to highlight the impact of various health factors on diabetes prediction.

Language: Jupyter Notebook - Size: 638 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

LKEthridge/Intro_to_Machine_Learning_Project

Intro to Machine Learning Project from TripleTen

Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: 8 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Related Topics
machine-learning 5 feature-selection 2 data-preprocessing 2 data-imputation 2 k-nearest-neighbours 2 scikit-learn 2 splitting-data 2 trained-models 2 outlier-detection 2 random-forest-classifier 2 predictive-modeling 2 decision-tree-regression 2 python 2 standardization 2 accuracy-metrics 2 classification 2 lstm-neural-networks 1 keras-tensorflow 1 arima 1 sarimax 1 timeseries-forecasting 1 scikitlearn 1 recurrent-neural-network 1 prediction 1 mlops 1 mlflow-ui 1 keras 1 deep-neural-networks 1 recursive-feature-elimination 1 pima-indians-diabetes 1 naive-bayes-classifier 1 model-validation 1 leave-one-out-cross-validation 1 gridsearchcv 1 mutual-information 1 soft-voting 1 pca 1 mahcine-learning 1 kaggle-score 1 feature-scaling 1 stable-baselines 1 sde 1 robotics 1 rl 1 reinforcement-learning 1 pytorch 1 pybullet-environments 1 pybullet 1 optimization 1 openai 1 lab 1 hyperparameter-tuning 1 hyperparameter-search 1 hyperparameter-optimization 1 gym 1 deep-reinforcement-learning 1 xgboost 1 time-series-decomposition 1 sktime 1 mice-algorithm 1 lasso-regression 1 iqr-method 1 handling-missing-values 1 dbscan-clustering 1 breast-cancer-wisconsin 1 breast-cancer-prediction 1 unsupervised-learning 1 rfm-analysis 1 kmeans 1 gmm 1 ecommerce 1 dbscan 1 data-science 1 customer-segmentation 1 customer-behavior 1 clustering 1 website-development 1 libraries 1 fine 1 classification-algorithm 1 diabetes-prediction 1 data-imbalance 1 xgboost-regression 1 rossmann-store-sales 1 random-forest-regressor 1 python3 1 pandas 1 matplotlib-seaborn 1 kaggle-dataset 1 kaggle-competition 1 supervised-learning 1 regression 1 random-forest-regression 1 model-quality 1 model-comparison-and-selection 1 mean-square-error 1 logistic-regression 1 linear-regression 1 jupyter-notebook 1 evaluation-metrics 1