Udemy – Learning Predictive Analytics with Python 2023-3 – Download

Description

Learn Predictive Analytics with Python Course. Predictive analytics is a branch of advanced analytics that uses statistical techniques, machine learning algorithms, and data mining to analyze historical data and predict future events or trends. It helps organizations identify patterns, understand trends, and predict outcomes, which can lead to better decision-making and more efficient operations. Predictive analytics is used in various industries including finance, healthcare, marketing, and manufacturing. Using predictive analytics, organizations can gain insights into customer behavior, optimize marketing campaigns, detect fraud, and improve supply chain management, among other benefits. In this course, we will cover all the important basics of predictive analytics and then start with all the important concepts about Python and object-oriented programming. Python is a general-purpose language used in major fields like data science, machine learning, and web development. This course covers almost all the fundamental concepts of Python. As a beginner, it is essential to have a clear and in-depth initial understanding of the concepts. This course focuses on these points and we have tried our best to present it in a way that will help you clear the basics and concepts. The key concepts covered in this course are:

1. Internal data types like List, Dictionary, Tuple, Collection, String with their capabilities.

2. Understanding Lists, Lambda Functions, and Decorators in Python

3. Object-Oriented Programming in Python

4. Creating an application using all the concepts learned

5. Predictive Analytics

6. A prediction model using the random forest algorithm to predict the winner between two given Pokemon.

Does this course cover all data science and web development concepts? I will be honest with you, this course does not cover all web development concepts (though we have separate courses for that which we will discuss some other day), however, it does cover the basic principles of data science and machine learning.