gridsearchcv
There are 653 repositories under gridsearchcv topic.
ray-project/tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
PacktWorkshops/The-Python-Workshop
A New, Interactive Approach to Learning Python
kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
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
Pradnya1208/Telecom-Customer-Churn-prediction
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.
zunicd/Bank-Churn-Prediction
Bank customers churn dashboard with predictions from several machine learning models.
30lm32/ml-spam-sms-classification
Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification
the-mrinal/ML-Notebook
Karma of Humans is AI
MatteoM95/Default-of-Credit-Card-Clients-Dataset-Analisys
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
uzunb/house-prices-prediction-LGBM
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.
hyeonsangjeon/Hyperparameters-Optimization
Hyperparameters-Optimization
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.
franneck94/TensorCross
Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets
BerkKilicoglu/ML-Modelling-Disease-Analysis
Obtaining meaningful results from the data set using the model trained with machine learning methods.
erik1110/Data-Science
iThome 13th-ironman (2021) - Data Science Learning Roadmap about Python
OryJonay/anytime-gridsearch
An anytime implementation of scikit-learn GridSearchCV
satishgunjal/House-Price-Prediction-Project
Contains all my data science projects.
docongminh/Classification-SIFT-SVM
Build a classifier to classify transport using sift and svm
raj1603chdry/Fake-News-Detection-System
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.
adiag321/CRM-Analysis-for-Marketing-data
In this project, we have to create a predictive model which allows the company to maximize the profit of the next marketing campaign
Pegah-Ardehkhani/Customer-Churn-Prediction-and-Analysis
Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
sid321axn/Udacity-MLND-Capstone-Gold-Price-Prediction
Capstone Project Gold Price Prediction using Machine learning Approach for Udacity Machine Learning engineer Nanodegree Program
wanderly0501/Architectural-Picture-Classification
Classify pictures by architectural style and recognize objects with CNNs and YOLO
ElizabethSeidle/OULAD
Open University Learning Analytics Dataset (OULAD) analysis exercise
juanerolon/Income-Prediction-Machine-Learning
In this project, I employ several supervised algorithms to accurately predict an individual income using data collected from the 1994 U.S. Census. We implement various testing procecures to choose the best candidate algorithm from preliminary results and further optimize this algorithm to best model the data.
sonnguyen129/Accident-Severity-Prediction
Predicting the severity of accident
jfjensen/numerai_article
Creating Predictions for Numerai with Keras and scikit-learn
shahriar-rahman/GHI-Assessment-using-SVR-and-BRR
Global Horizontal Irradiance Analysis using Support Vector Regression and Bayesian Ridge Regression
sushantdhumak/Human-Activity-Recognition-with-Smartphones
Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.
TrainingByPackt/The-Python-Workshop
Become a proficient, productive and powerful programmer with Python
ywan3223/ECG-Heartbeat-Classification
ECG Arrhythmia Detection with ResNet and Transfer Learning
ejw-data/ml-myopia
A variety of machine learning techniques used to identify nearsighted patients
gulabpatel/Hyper_Parameter_Optimization
We will discuss the Hyper Parameter Tuning for different Machine Learning Algorithm
sajadh76/QoE-Estimation-4G-Networks
Users Quality of Experience Estimation in 4G networks
lionelsamrat10/Sports-Celebrity-Image-Classification
This is a machine learning (Image Classifier) web app, that lets the user upload an image of a sports celebrity (Lionel Messi, Maria Sharapova, Roger Federer, Serena Williams, Virat Kohli) and predicts whose image is uploaded.
nipun-goyal/Residential-Energy-Consumption-Prediction
Predicting the Residential Energy Usage across 113.6 million U.S. households using Machine Learning Algorithms (Regression and Ensemble)