How To Interpret The ROC Curve

how to interpret the ROC curve

The ROC curve is a valuable tool to measure the performance and then fine-tune classification models, as they show you the trade-off in sensitivity and specificity for a specific classifier at various thresholds. Despite this, some might find ROC curves difficult to understand. In this post, we’ll aim to eliminate this difficulty by providing a […]

How to Become a Data Scientist

how to become a data scientist

Organizations globally are increasingly relying on data to make their business processes more efficient, reach their customers more effectively, and make better decisions. Being a data scientist can be an extremely rewarding career, where you help these organizations gain insights from their data and make the decisions that really matter. But people often want to […]

Top 10 Pandas Methods You Haven’t Heard of

pandas methods

If you’re a data scientist, you’ve probably heard of Pandas. It’s one of the most popular open-source data analysis libraries out there. But did you know that Pandas has a ton of hidden features? In this blog post, we’ll discuss 10 Pandas methods that you haven’t heard of. These methods can help you do everything […]

How to Build a Data Analyst Portfolio

data analyst portfolio

If you’re looking to start a career in data science, one of the most important things you need to do is build a strong portfolio. A data analyst portfolio will showcase your skills and experience, and it will help you stand out from the competition. In this blog post, we’ll discuss how to build a […]

Top 10 R Data Science Libraries

R data science libraries

While Python is arguably the most popular programming language used in Data Science, there are still some areas where R is better. For example, R is generally better than Python for building statistical models. Likewise, R also simplifies the process of creating graphics and data visualizations. As such, R remains a valuable tool in every […]

Understanding Random Forest Algorithm

random forest

The Random Forest algorithm is a machine learning technique that is used to predict the outcomes of events. It is a type of ensemble learning, which means that it combines the predictions of multiple models in order to produce a better prediction. A Random Forest algorithm is commonly used for classification and regression tasks. In […]

How to interpret box plots

box plots

Box plots are a great way to visualize your data. They can help you see the distribution of your data, as well as any outliers that may be present. In this article, we will show you how to interpret box plots, and give some examples of how they can be used in machine learning applications. […]

Understanding Boosted Trees Algorithms

boosted trees

There has been a recent resurgence of interest in Boosted Trees Algorithms. This is due to the success of machine learning algorithms in general, and the realization that boosted trees are a very powerful tool for solving many problems. In this article, we will discuss what boosted trees are, and how they work. We will […]

How to Convert A .py Script into A .exe File

turn .py files into .exe

Picture this: you’ve just finished creating a fantastic Python program and intend to let the world see it. You then send your friend a directory containing all your scripts and encourage them to try it out. Only first, they must install Python and then run the program via the IDLE shell or the command line. […]

How to install JupyterLab and Jupyter Notebook

Installing Jupyterlab

For years, Jupyter Notebook, with its simple-to-use, streamlined, and document-centric interface has been the go-to web application for creating and sharing scientific computational documents. It supports a wide range of programming languages, and it allows users to produce rich and interactive outputs in a range of formats. In turn, JupyterLab is the next generation of […]