tapasvssut

COVID19-infection-probability-detector

An end to end Machine Learning Model using Python, Flask, Html, CSS. Model Name - COVID19 infection probability detector Using Libraries - pandas, NumPy, logistic regression from sklearn.

Data_Science

Code Sharing

Feature-selection-techniques

Feature selection techniques that are easy to use and also gives good results

Feature-Selection-using-dropping-constant-features-correlation

Feature Selection using dropping constant features & Pearson correlation coefficient

gradient_descent

how gradient descent helps to find best fit line and math behind it

linear_regression_single_variable

Build a regression model and Predict the per capita income of canadian citizens in year 2020

NextJs_Latest

node

Node.js JavaScript runtime :sparkles::turtle::rocket::sparkles:

Nodejs_Latest

Sales_Insights_Analysis

How computer manufacturer is facing issues in terms of their sales and then how data analysts define a problem by data discovering, data cleaning, data merging, data visualising using MySQL and PowerBI

tapasvssut/COVID19-infection-probability-detector

An end to end Machine Learning Model using Python, Flask, Html, CSS. Model Name - COVID19 infection probability detector Using Libraries - pandas, NumPy, logistic regression from sklearn.

tapasvssut/Data_Science

Code Sharing

tapasvssut/Feature-selection-techniques

Feature selection techniques that are easy to use and also gives good results

tapasvssut/Feature-Selection-using-dropping-constant-features-correlation

Feature Selection using dropping constant features & Pearson correlation coefficient

tapasvssut/gradient_descent

how gradient descent helps to find best fit line and math behind it

tapasvssut/linear_regression_single_variable

Build a regression model and Predict the per capita income of canadian citizens in year 2020

tapasvssut/NextJs_Latest

tapasvssut/node

Node.js JavaScript runtime :sparkles::turtle::rocket::sparkles:

tapasvssut/Nodejs_Latest

tapasvssut/Sales_Insights_Analysis

How computer manufacturer is facing issues in terms of their sales and then how data analysts define a problem by data discovering, data cleaning, data merging, data visualising using MySQL and PowerBI

tapasvssut/some-techniques-to-choose-ML-Algorithm

How to choose ML Algorithm