grid-search-cv
There are 25 repositories under grid-search-cv topic.
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.
shahriar-rahman/Netflix-Customer-Retention-using-GPR
Forecasting Netflix Customer Retention based on Gaussian Process Regression
ahing/airbnb-feature-analysis
Using a dataset provided by Airbnb, analysis and predictions will be made to understand what effects the total price of an Airbnb
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.
Ankit-Kumar-Saini/Machine-Learning-Lab-Plaksha
Programming assignments covering fundamentals of machine learning and deep learning. These were completed as part of the Plaksha Tech Leaders Fellowship program.
copev313/Predicting-Credit-Card-Approvals
A machine learning model built to predict if a credit card application will get approved.
maltarouti/disaster-response-pipelines
Disaster response project that implements data engineering tactics to classify messages sent during a real-world disaster. This project uses ETL and ML pipelines and uses the Flask library to deploy the final result on a website.
maltarouti/iris-flower-classification
Analyze and Build a machine learning (ML) model on the Iris Flower dataset
prithvimurjani/ML-Utility-Repo
A repo packed with common and important machine learning techniques and algorithm implementations using sklearn.
shanuhalli/Assignment-Decision-Trees
Use decision trees to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.
shanuhalli/Assignment-KNN
Prepare a model for glass classification using KNN and Implement a KNN model to classify the animals in to categorie.
shanuhalli/Assignment-Random-Forest
Use Random Forest to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.
niklas-joh/Machine-Learning-Project-Supervised-Learning
Identify the most efficient machine learning model to identify potential donors. Project covers Linear Regression, Perceptron Algorithm, Decision Trees, Naive Bayes, Support Vector Machines and Ensemble Methods.
PriyeshDave/Accident-Severity-Predictor
RTA severity predictor is an application which predicts the severity of road traffic accident, so as to pave the way for improving the safety level of road traffic.
PriyeshDave/Site-Energy-Intensity-Predictor
In this project, a regression-based performance prediction model was developed to estimate building energy consumption based on simplified façade attribute information and weather conditions.
Akash1070/Machine-Learning-
Learning Machine Learning Through Data
Ayomikun17/Diabetes-Prediction-
Diabetes Prediction with Tree based models (Random Forest and XGBoost). Grid Search CV and Randomized Search CV used to optimize parameters
Davityak03/Ridge-and-Lasso-Regression
Implented ridge and lasso regression by understanding the use of parameters
existentialplantperson/Week_14
Week 14 - Multiple Linear Regression and Logistic Regression
Faisal-AlDhuwayhi/Disaster-Response-Pipeline
Building Machine Learning and ETL Pipelines to categorize emergency messages based on the needs communicated by the sender
GunturWibawa/SpotifyPopularityProbe
In the digital music era, understanding artist popularity on Spotify is vital. This project taps into Spotify's data, analyzing key factors driving artist prominence. Through our insights, we illuminate what sets successful artists apart in this dynamic platform.
Lefteris-Souflas/Modern-Slavery-Analysis
Jupyter notebook using machine learning techniques to explore the complex drivers of modern slavery. Models from a research paper are replicated and evaluated . Actions also include filling missing data, training regression models, and analyzing feature importance.
ofir-frd/Prediction-of-Music-Genre
Classify music into genres by classical machine learning models