Classification and Regression Tree ( CART ) Decision tree is a method proposed by Leo Breiman in 1982. It forms the basis for random forest and many other commonly used methods. The aim is to convert complex structures in the dataset into simple decision structures. …

What is Machine learning? The scientific field dedicated to developing various algorithms and techniques to enable computers to learn in a manner similar to humans is known as machine learning. Regression is used for numerical problems, whereas problems involving dependent variables are categorized as classification problems Example of Regression: house prices Example of Classification:Titanic…

Hello data science enthusiasts! In the sixth week of our bootcamp, I will talk to you about Feature Engineering. The primary goal of feature engineering is to modify existing features or create new ones to improve the performance of a machine learning model or better represent information in the dataset…

Hello data science enthusiasts, in this article, I will be discussing Recommendation Systems. As a data scientist, I will explain the solutions to some of the numerous challenges that one might encounter when starting a career in this field. Similar to my previous articles, I will be discussing the topic…

Hello data science enthusiasts, in this article, I will talk about A/B testing. It is a crucial area that proves whether a Data Scientist’s company is making a profit or a loss from the campaigns conducted. Before explaining A/B testing, I will provide you with some brief and important information. Sampling …

Hello data science enthusiasts, in this article, I will be discussing Measurement Problems. It’s a topic that aims to utilize the skills of a data scientist to guide our company’s customers to accurate and reliable products. Measurement Problems When a user makes a purchase decision, it is influenced by social proof, often…

Greetings to all data science enthusiasts, As mentioned in my previous posts, I will share the most important parts of what we learned in each week of my bootcamp. In this post, i will write about CRM Analytics. If there is a company of course, it has customers. The management of the relationships with customers is called CRM. Customer lifecycle optimizations: for example we have got a website, the first…

Greetings to all data science enthusiasts, As mentioned in my previous posts, I will share the most important parts of what we learned in each week of my bootcamp. In this post, I will write about the second week. The most important parts of the second week were generally the…

Greetings to all data science enthusiasts, As I mentioned in my previous post, I will write an article about what we learned in a 10-week boot camp. Let’s start with the first part: We began our first week by learning Python. Python is a general-purpose language. Due to its general-purpose…