GitHub topics: root-mean-squared-error-metric
nagasaimanoj/Gradient-Descent-for-Linear-Regression Fork of mattnedrich/GradientDescentExample
Linear Regression using Gradient Descent
Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1
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.
Language: Jupyter Notebook - Size: 7.91 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 18 - Forks: 13
iamkirankumaryadav/Regression
Regression - Bulldozer Sales Price - Kaggle Competition
Language: Jupyter Notebook - Size: 119 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
gurol/BenchMetricsProb
BenchMetrics Prob: Benchmarking of probabilistic error performance evaluation instruments for binary-classification problems
Size: 690 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 5.93 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
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.
Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0
ltfschoen/ML-Predictions
Machine Learning engine generates predictions given any dataset using regression
Language: Python - Size: 2.51 MB - Last synced at: 15 days ago - Pushed at: almost 8 years ago - Stars: 3 - Forks: 2
