root-mean-squared-error-metric

There are 0 repository under root-mean-squared-error-metric topic.

NikhilaThota / CapstoneProject_House_Prices_Prediction
Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.
python ridge-regression linear-regression data-visualization data-analysis datawrangling predictive-modeling machine-learning correlation standardization data-extraction data-exploration encoding-library regression-analysis lasso-regression regularization root-mean-squared-error-metric parameter-tuning cross-validation k-fold
Language:Jupyter Notebook 20
ltfschoen / ML-Predictions
Machine Learning engine generates predictions given any dataset using regression
prediction-algorithm pandas-dataframes similarity-metric matplotlib root-mean-squared-error-metric multivariate-models scipy scikit-learn hyperparameter-optimization cross-validation aws-lambda linear-regression knn-regression logistic-regression unittest continous-integration binary-classification k-means-clustering correlation multi-classify-with-sklearn
Language:Python 3
gurol / BenchMetricsProb
BenchMetrics Prob: Benchmarking of probabilistic error performance evaluation instruments for binary-classification problems
benchmarking machine-learning metrics performance-measures performance-metrics supervised-learning binary-classification classification confusion-matrix performance-evaluation robustness logloss root-mean-square-error root-mean-squared-error-metric mean-absolute-error
1
nagasaimanoj / Gradient-Descent-for-Linear-Regression
Linear Regression using Gradient Descent
linear-regression gradient-descent numpy python root-mean-squared-error-metric
Language:Jupyter Notebook 1
AmishaMurarka / Facebook-Comment-Volume-Prediction
Data in the social networking services is increasing day by day. So, there is heavy requirement to study the highly dynamic behavior of the users towards these services. The task here is to estimate the comment count that a post is expected to receive in next few(H) hours. Data has been scraped from one of the most popular social networking sites - Facebook.
decision-tree-regressor facebook-comments grid-search-cross-validation grid-search-hyperparameters hold-out-cross-validation linear-regression machine-learning python random-forest-regressor regression-models research-paper-implementation sklearn-library xgb-regressor mean-squared-error root-mean-squared-error-metric
Language:Jupyter Notebook 0
sarodeswapnil / Machine-Learning-Algos
linear-regression naive-bayes-classifier decision-tree gradient-descent boston-housing-dataset root-mean-squared-error-metric roc-plot sqlite database
Language:Python 0
iamkirankumaryadav / Regression
Regression - Bulldozer Sales Price - Kaggle Competition
python bulldozer-sales-price bulldozer numpy pandas matplotlib randomforestregressor randomizedsearchcv r2-score mean-absolute-error mean-square-error mean-squared-log-error root-mean-squared-error-metric cross-validation
Language:Jupyter Notebook
nishanthbhat07 / LINEAR-REGRESSION
Linear Regression is the basic algorithm to get started with machine learning/ deep learning. I had made this for my C mini-project.
c gcc-complier linear-regression machine-learning prediction-model root-mean-squared-error-metric