Kaggle House Prices Prediction with Linear Regression and Gradient Boosting

Kaggle House Prices Prediction with Linear Regression and Gradient Boosting. This notebook achieved a score of 0.12 and within the top 25% in this Kaggle House Price competition

Data Preparation Guide for detecting Histopathologic Cancer Detection

Guide on how to prepare data for model training for Kaggle’s Histopathologic Cancer Detection. We are provided with a dataset of images on which we are supposed to create an algorithm (it says algorithm and not explicitly a machine learning model

Instacart Market Basket Analysis (Kaggle Competition)

This blog is about my first Kaggle Challenge. Hopefully, this blog will give you a good understanding of solving the classification problem.

XGBoost — Queens of Boosting Algorithms?

This algorithm is also known as regularized-boosting technique since it has an option to perform regularization, both L1 and L2 can be implemented. XGBoost implements parallel processing and if faster than GBM [Gradient Boost Machine].

Predicting the testing time of each configuration vehicle under test bench

The main objective of this project is to optimize/reduce the testing time in process of every production vehicle that comes under the test bench. By this optimization it certainly decreases the Carbon dioxide emission associated with the testing procedure.

Explained: Kaggle Housing Prices’ Feature Engineering and Ridge Regression.

This blog is based on the notebook I used to submit predictions for Kaggle In-Class Housing Prices Competition. My submission ranked 293 on the score board, although the focus of this blog is not how to get a high score but to help beginners develop intuition for Machine Learning regression techniques and feature engineering.

A Commentary on the Abstraction and Reasoning Challenge 

This competition was hosted by François Chollet. This report has been prepared by Somayeh Gholami and Mehran Kazeminia. Currently, Machine learning techniques can only use the patterns that they have already seen.

Kaggle Beginner Competitions Can Be Cheated

Do not look at scoreboards in “Getting Started” Competitions. The purpose of this article is to warn new kagglers before they waste their time on trying to get an impossible score.

Kaggle Beginner Competitions Can Be Cheated

Do not look at scoreboards in “Getting Started” Competitions. The purpose of this article is to warn new kagglers before they waste their time on trying to get an impossible score.

Q&A Labelling using BERT

This is a competition in Kaggle by Google Quest which aims at classifying questions and answers collected from a number of websites into various labels.

Real or Not? NLP with Disaster Tweets

Twitter has become an important communication channel in times of emergency. The ubiquitous of smartphones enables people to announce an emergency they’re observing in real-time.

Submitted Solution for Kaggle COVID-19 Open Research Dataset Challenge (CORD-19)

This post described the solution that was submitted for the Kaggle CORD-19 competition.