Prediction Of Iris Species

The Iris flower data set is a multivariate data set introduced by the British statistician and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems. It is sometimes called Anderson’s Iris data set because Edgar Anderson collected the data to quantify the morphologic variation of Iris flowers of three related species. The data set consists of 50 samples from each of three species of Iris (Iris Setosa, Iris virginica, …

Prediction Of Startups Profit

In this project, we aim to predict the 50 startups profit. we implemented Multiple Linear Regression on Python. The data contains the following columns: R&D Spend Administration Marketing Spend State Profit . let’s get our environment ready with the libraries we’ll need and then import the data! Check out the Data . EDA Let’s create some simple plots to check out the data! . Training a Linear Regression Model Let’s now begin to train out …

This is FSOCIETYSJ

 I’m Sadegh Jalalian and I graduated from University of Salford (UK) with MSc degree in Data Science with distinction.  During my MSc, I have worked on five projects:  • Prediction of paying off loans to lenders using R & Python  • Prediction of shopping behaviour using Python  • Analysing the premier league data from Twitter using big data tools and techniques (Hadoop,Hive,Impala,Spark,Sqoop,Scala)  • Creating email marketing database using Microsoft SQL Server & BI Tools  • …

By Order Of The Peaky Blinders

Peaky Blinders is one of the most unique British dramas ever made. I started watching the series because I saw that Cillian Murphy and Tom Hardy were in it.At the beginning, the story is based on a true story based in England which brings charm to this tv-show. The quality of the scenario puts you in a good position where you will have to watch all the episodes before getting satisfy. Cillian Murphy is so …

CRISP-DM

The CRISP-DM model has consistently been the most popular data mining process model throughout the past fifteen years that provides a structured approach to planning a data mining project. CRISP-DM stands for cross industry standard process for data mining.  The six phases of the CRISP Data Mining process are business understanding, data understanding, data preparation, modelling, evaluation and deployment [43].  As shown in figure below, CRISP-DM methodology is based on 6 steps:  . BUSINESS UNDERSTANDING  …

Recommender Systems

What is Recommendation System : The recommendation systems are defined as a software tools to give suggestions for items to the users in which they might be interested. The suggestions might be related to decision-making processes which can be within these – what movie / TV series to watch, what playlist to listen, what items to buy, what news to read, or what videos to watch and many more in this list. The main objective …

Follow the Dream 

When I was 6 years old, my father brought a computer with DOS OS to our home. This was a significant point in my life. I spent all day on that computer, which was the moment I knew I loved this device more than anything in my life.  I grew up with computers and technology always impressed me. My interest in computers led me to choose Software Engineering for my BSc and I graduated in …

The Trade Growth Indicator In Italy

Economists and statisticians use various parameters for evaluating economic growth. The most famous and often used one for assessing the economy of a country is gross domestic product or GDP. Gross domestic product is a size of the worthiness of goods and services that one country produces and has a massive effect on global policy. In addition, GDP tends to best receive the true monetary worth of our economy. In UK, GDP is computed through …