Machine Learning

In regression analysis we fit a predictive model to our data and use that model to predict values of the dependent variable from one or more independent variables.Simple regression seeks to predict an outcome variable from a single predictor variable whereas multiple regression seeks to predict an outcome from several predictors. We can predict any data using the following … [Read more...] about LINEAR REGRESSION

Precision and recall are two of the most fundamental evaluation metrics that we have at our hands.Image SourceIt’s imperative to compare your models to each other and pick the best fit models when performing tasks about classification. When you are estimating values in regression, it makes sense to speak about error as a deviation from the real values and how far apart the … [Read more...] about Precision and Recall — What are the Differences?

Converting your data from long-form to wide-formPhoto by billow926 on UnsplashIn the last tutorial, we demonstrated the Pandas melt function to reshape the wide-data form into the long-form. This tutorial will focus on the opposite process. To bring everyone on the same page, presenting a visual of the problem we are trying to solve:Long to Wide Form (Image by User)Most of us … [Read more...] about Pandas For Beginners — Reshaping Dataframes — Part 2

Writing a simple feedforward neural network is probably the first step in your journey towards mastering deep learning. Today, there are countless libraries and frameworks available to develop a machine learning model. The two most famous and go-to frameworks for developing a machine learning model are Tensorflow and PyTorch. Keras has been integrated into Tensorflow2.0 which … [Read more...] about How to write a Neural Network in Tensorflow from scratch (without using Keras)

To demonstrate these methods, we will be trying to predict the probability that a person with COVID-19 will have a severe reaction. You can find the “Cleaned-Data.csv” dataset here: https://www.kaggle.com/iamhungundji/covid19-symptoms-checker?select=Cleaned-Data.csvLets pull in the data and create training, validation, and test datasets:import pandas as pdimport tensorflow as … [Read more...] about Automated Feature Engineering Using Neural Networks

Exploratory Data AnalysisThe following are some key findings in the data. Shout to Gabriel Preda from Kaggle for the awesome visualization ideas. Check out his work here:https://www.kaggle.com/gpredaDistribution of target classes is highly imbalanced, non-defaults far outnumber defaults. This is common in these datasets since most people pay credit cards on time (assuming there … [Read more...] about Predicting Credit Card Defaults with Machine Learning

This article aims to develop a foundation to perform an analysis of the data presented by Airbnb. It demonstrates how to formulate scrapped data into features that will assist the model to predict the listing’s price. Airbnb, Inc. is an American vacation rental online marketplace company. Airbnb maintains and hosts a marketplace, accessible to consumers on its website or via an … [Read more...] about Airbnb data exploration, analysis and feature engineering

All it started when I was watching a movie clip YouTube video from one of my favorites movies Interstellar known as the Docking scene.Spoiler alert!! if you haven’t watched the movie I would suggest you watch this Christopher Nolan’s masterpiece and with breathtaking background score by Hans ZimmerIn the Scene when Cooper (Matthew McConaughey) tries to save the Endurance … [Read more...] about How CASE(AI robot) from Interstellar movie figure out the Endurance ship’s RPM!

You did not watch Rashomon? Beware! Spoilers ahead!This blog is joint work of Piotr Piątyszek and Jakub WiśniewskiWe regularly reference to Rashomon Effect in blogs and articles. What this psychological term represents is the backbone of our research. To prove it, we are going to deep dive into the origin of the Rashomon Effect.Photo by Lucas Santos on UnsplashIt all started … [Read more...] about We regularly reference to Rashomon Effect in blogs and articles.

source: QHack 2021⚠️Warning: this article is still under construction 🚧QHack 2021— a Quantum Machine Learning (QML) hackathon sponsored by Xanadu, AWS and others — started last week 🥳⚛️And, much like the QML community itself, it grew considerably larger… 2650+ people, 430+ teams, 85 countries — a long, long way from the 2019 edition.source: Twitch (QHack)I never had much … [Read more...] about QHack Recap — PennyLane, Amazon Braket and Beyond 🚀