Pre-Requisite — Hypothesis and Hypothesis Test A hypothesis is an assumption about an expected association. Example: Increasing apple fruit consumption will result in a decreased frequency of visits to a doctor. Businesses that give customers loyalty points have more customer loyalty than businesses that don’t. In the research or statistics world, your objective is to determine…

If you cannot measure it, you cannot improve it. ~ Lord Kelvin Any project that someone does can either be called a success or not. The machine learning world is no different either and we need a way to know when to stop and say our model is a success. Introduction

Link to the code: Github Problem Statement Imagine you had a dataset with 1000 features. To visualize all these features and to try to explain the relationships between these features would be a nightmare. Moreover, your model runs the risk of Overfitting. Overfitting in simple terms means that your model has memorized…

DataSet and Notebook used in this article can be found here: Complete Notebook Link : Handling Missing Values DataSet Link: Melbourne Housing Dataset Introduction A perfect data set is usually a big win for any data scientist or machine learning engineer. Unfortunately, more often than not, datasets to be used to solve different data science use-cases will have missing data. Missing data…

Naive Bayes is a machine learning model used for classification. The Naive Bayes technique is based on probabilities. The probability of an event happening or not happening can be calculated using historical data. Let’s Dissect the meaning of Naive Bayes. It is called Naive because it is based on the Naive Assumption that each input variable is…

DataSet and Notebook used in this article can be found here: Complete Notebook Link: Multiple Linear Regression Model DataSet Link: Ecommerce Customers Let’s start on Linear Regression with a few scenarios: Finance companies predicting the top factors that cause a customer to default on a loan. Sports companies analyzing which variations of training have an effect on player performance. Factors affecting the economic growth of a country.

As a data scientist or machine learning engineer, it is not enough to leave your machine learning models in your notebooks. You will want your end-users to seamlessly interact with your model in a creative and easy way. Streamlit is a Python-based library that allows the creation and deployment of…

In the big data world, the biggest problem for many companies might be getting insights from data before it’s outdated. If you need to process the different types of data with speed, and efficiency to get the best value from the data, then you need to leverage ETL tools and…

At the time of writing this article Google handles an average of 3.8 million searches per minute across the globe. That translates to 5.6 billion searches per day, or 2 trillion searches per year! When we look at Twitter there are 500 million tweets per day and around 200 billion…