DIAMOND PRICE PREDICTION: USING LASSO AND RIDGE REGRESSION IN PYTHON
Two of the most prolific regression techniques used in the creation of parsimonious models involving a great number of features are Ridge and Lasso regressions…
November 2019
Fake News Analysis: Natural Language Processing(NLP) using Python
There was a time when it was difficult to find out the whether the news is fake or real. Every day lot of news is…
Descriptive Statistics Using Python
Descriptive Statistics — is used to understand your data by calculating various statistical values for given numeric variables. For any given data our approach is…
XGBoost Using Python
XGBoost is a supervised machine learning algorithm which is used both in regression as well as classification. It is an application of gradient boosted decision…
Moneyball: The must watch movie: Key Learning for every Aspiring Data Analyst and Data Scientist
Have you watched the movie Moneyball? No, then please watch if you are an aspiring Data Analyst or Data Scientist. Today I am here to…
Sensex stock prediction using Deep Learning (LSTM model)
Neural Network A neural network is an algorithms that is used to recognize pattern and relationships in a set of data through a process that…
Customer Segmentation using RFM Analysis (using R)
Introduction An eCommerce business wants to target customers that are likely to become inactive. In this article, I will use a grouping technique called customer…
