Python Data Science – Step-By-Step Coding Recipes

Write a program to predict mobile price using Random Forest Classifier with Monte Carlo CV in Python

(End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict mobile price using Random Forest Classifier with Monte Carlo CV in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict mobile price using Random Forest Algorithm with Monte Carlo CV in …

Write a program to predict mobile price using Random Forest Classifier with Grid Search CV in Python

(End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict mobile price using Random Forest Classifier with Grid Search CV in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict mobile price using Random Forest Algorithm with Grid Search CV in …

Python Examples for Beginners: Python Code to Print the Fibonacci sequence

(Python Tutorials for Citizen Data Scientist) Python Code to Print the Fibonacci sequence In this program, you’ll learn to print the Fibonacci sequence using while loop. A Fibonacci sequence is the integer sequence of 0, 1, 1, 2, 3, 5, 8…. The first two terms are 0 and 1. All other terms are obtained by …

Python Examples for Beginners: Python Code to Add Two Numbers

(Python Tutorials for Citizen Data Scientist) Python Program to Add Two Numbers In this program, you will learn to add two numbers and display it using print() function. In the program below, we’ve used the + operator to add two numbers. Example 1: Add Two Numbers # This program adds two numbers num1 = 1.5 num2 = …

Python tutorials for Business Analyst – Python Data Types

(Python Tutorial – 0o5) Python Data Types In this tutorial, you will learn about different data types you can use in Python. Data types in Python Every value in Python has a datatype. Since everything is an object in Python programming, data types are actually classes and variables are instance (object) of these classes. There …

Python tutorials for Business Analyst – Python Keywords and Identifiers

(Python Tutorial – 003) Python Keywords and Identifiers In this tutorial, you will learn about keywords (reserved words in Python) and identifiers (names given to variables, functions, etc.). Python Keywords Keywords are the reserved words in Python. We cannot use a keyword as a variable name, function name or any other identifier. They are used to define the syntax …

Python tutorials for Business Analyst – Python Statement, Indentation and Comments

(Python Tutorial – 002) Python Statement, Indentation and Comments In this tutorial, you will learn about Python statements, why indentation is important and use of comments in programming. Python Statement Instructions that a Python interpreter can execute are called statements. For example, a = 1 is an assignment statement. if statement, for statement, while statement, etc. are other kinds of statements which will …

Python Tutorials for Business Analyst – How to Get Started With Python?

(Python Tutorial – 001) Python Tutorials for Business Analyst – How to Get Started With Python  In this tutorial, you will learn to install and run Python on your computer. Once we do that, we will also write our first Python program. Python is a cross-platform programming language, which means that it can run on …

Data Science and Machine Learning for Beginners in Python Decision Tree using Mushroom Dataset

  Data Science and Machine Learning are powerful tools that can be used to analyze data and make predictions. In this article, we will explore the basics of using Decision Trees for classification in Python using the Mushroom dataset from UCI. This dataset contains information about different types of mushrooms and their characteristics, such as …

Learn by Coding | Machine Learning & Data Science for Beginners in Python GBM | MCCV | Mushroom Dataset

  Machine learning and data science are becoming more and more popular in today’s world, and for good reason. These techniques allow us to make predictions, classify data, and understand patterns in data that we would not be able to discern otherwise. In this article, we will be discussing how to use machine learning for …