linear regression

This article covers stock prediction using ML and DL techniques like Moving Average, knn, ARIMA, prophet and LSTM with python codes.

Introduction As a beginner in the world of data science, the first algorithm I was introduced to was Linear Regression. I applied it to …

Note: This article was originally published on August 10, 2015 and updated on Sept 9th, 2017 Overview Major focus on commonly used machine learning …

Introduction Linear Regression is still the most prominently used statistical technique in data science industry and in academia to explain relationships between features. A …

Introduction I was talking to one of my friends who happen to be an operations manager at one of the Supermarket chains in India. …

Introduction Statistics is one of the key fundamental skills required for data science. Any expert in data science would surely recommend learning / upskilling yourself …

Designation – Business Consultant Location – Bangalore About employer – Confidential Description Responsibilities Qualification and Skills Required Minimum of 1-2 years on the below …

Overview Explanation of tree based modeling from scratch in R and python Learn machine learning concepts like decision trees, random forest, boosting, bagging, ensemble …

Introduction We use linear or logistic regression technique for developing accurate models for predicting an outcome of interest. Often, we create separate models for …

Designation – Data Scientist Location – Noida About employer – Confidential Description Data Science team is responsible for providing decision insights to business users …