Pinned Repositories
Commodity-Data-Normalization
Using Commodity market Data Find the Change in Stock price has a relation ship to the future change in the stock price, I am trying to develop a statistical model
Fibonacci-Retracement
k--Nearest
Linear-Regression
Basic Linear regression
Logistic-regression
Logistic-Regression-SUV-Data-Prediction-
Multiple-Regression
Multiple regression is an extension of simple linear regression. It is used when we want to predict the value of a variable based on the value of two or more other variables. The variable we want to predict is called the dependent variable (or sometimes, the outcome, target or criterion variable)
Pivot-Point-
Reletive-Strength-Index
Simple-Moveing-Average-and-Bollinger-Band
Commodity Market Analysis Using Different Indicator
Ranjitkumarsahu1436's Repositories
Ranjitkumarsahu1436/Fibonacci-Retracement
Ranjitkumarsahu1436/Pivot-Point-
Ranjitkumarsahu1436/Commodity-Data-Normalization
Using Commodity market Data Find the Change in Stock price has a relation ship to the future change in the stock price, I am trying to develop a statistical model
Ranjitkumarsahu1436/Reletive-Strength-Index
Ranjitkumarsahu1436/k--Nearest
Ranjitkumarsahu1436/Linear-Regression
Basic Linear regression
Ranjitkumarsahu1436/Logistic-regression
Ranjitkumarsahu1436/Logistic-Regression-SUV-Data-Prediction-
Ranjitkumarsahu1436/Multiple-Regression
Multiple regression is an extension of simple linear regression. It is used when we want to predict the value of a variable based on the value of two or more other variables. The variable we want to predict is called the dependent variable (or sometimes, the outcome, target or criterion variable)
Ranjitkumarsahu1436/Simple-Moveing-Average-and-Bollinger-Band
Commodity Market Analysis Using Different Indicator
Ranjitkumarsahu1436/waterfall-chart
Ranjitkumarsahu1436/Time-Seriese-Analysis