Python Data Science – How to create and optimize a baseline ElasticNet Regression model?
Python Data Science – How to create and optimize a baseline Ridge Regression model?
Write a program to cluster customers in different segments in Python.
(End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict Bank Customer Churn using Decision Tree with Monte Carlo Cross Validation in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict Bank Customer Churn using Decision Tree with Monte Carlo Cross …
(End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict mobile price using Gradient Boosting with Monte Carlo Cross Validation in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict mobile price using Gradient Boosting with Monte Carlo Cross Validation in …
(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 …
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 …
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 …
Machine learning and data science are powerful tools that can help us make predictions and understand patterns in large sets of data. In this article, we will explore how to use these tools with a popular dataset from the UCI Machine Learning Repository: the mushroom dataset. This dataset contains information about different types of …
Machine learning and data science are two rapidly growing fields that are used to analyze and make predictions based on large sets of data. One of the most popular datasets used for machine learning and data science is the Mushroom dataset from UCI. This dataset contains information about different types of mushrooms and their characteristics, …