Predictive Modeling with Python

Think with a predictive mindset and understand well the basics of the techniques used in prediction with this course
4.22 (78 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Predictive Modeling with Python
16β€―455
students
9.5 hours
content
Jun 2021
last update
$59.99
regular price

Why take this course?


Unlock the Power of Predictive Analytics with Python! πŸš€

Dive into the world of data prediction with our comprehensive online course, "Predictive Modeling with Python". This isn't just a course; it's your gateway to understanding and applying predictive modeling techniques that are crucial in decision-making across industries.


Course Overview πŸ“š

What you'll learn:

  • The Fundamentals of Predictive Modeling: Gain insights into how data can be leveraged to forecast future events and outcomes.
  • Python Mastery: Learn why Python is the go-to language for predictive modeling and how its robust libraries can expedite your workflow.
  • Critical Thinking Skills: Develop the ability to critically assess models, interpret results, and make data-driven decisions.

Key Features of Our Course 🧠

  • Hands-On Learning: Engage with real-world datasets and practical examples, from Credit Risk to Diabetes diagnosis predictions.
  • Step-by-Step Guidance: Starting from the basics, we'll guide you through each step of the predictive modeling process in Python.
  • Cutting-Edge Tools: Get familiar with libraries like sci-kit learn for linear regression and stats model for logistic regression, backward elimination, and ROC curves.
  • Data Preparation Techniques: Learn to preprocess your data effectively with data framing, feature scaling, and dataset splitting.

Course Highlights 🎯

  • Introduction to Predictive Modeling with Python: Uncover the basics and understand how predictive analytics can transform raw data into actionable insights.
  • Linear Regression: Master the technique used for predicting a quantitative response.
  • Salary Prediction: Learn how to predict salaries based on various factors using regression analysis.
  • Logistic Regression: Explore the method used for binary classification problems, such as spam detection or disease diagnosis.

Why Choose This Course? πŸ…

  • Expert Instructor: Learn from an industry expert who has extensive experience in applying predictive modeling techniques.
  • Real-World Data: Work with real datasets to understand the practical application of your new skills.
  • Interactive Learning: Benefit from interactive coding exercises and quizzes that reinforce your understanding of predictive modeling.
  • Community Support: Join a community of like-minded learners who are also on their predictive analytics journey.

Course Outline πŸ“

  1. Getting Started with Python for Predictive Modeling:

    • Setting up your environment
    • Introduction to Python libraries for data science
  2. Data Preparation and Visualization:

    • Data framing using pandas
    • Data visualization with matplotlib and seaborn
    • Feature scaling and dataset splitting techniques
  3. Regression Analysis:

    • Understanding linear regression
    • Applying logistic regression
    • Fitting models with sci-kit learn and stats model
  4. Evaluating Model Performance:

    • Introduction to ROC curves
    • Backward elimination approach for model selection
    • Cross-validation techniques
  5. Advanced Topics:

    • Exploring time series forecasting
    • Diving into neural networks and deep learning applications

Embark on Your Predictive Analytics Journey Today! 🌟

Enroll in "Predictive Modeling with Python" now and take the first step towards mastering predictive analytics. With our expert-led course, you'll gain the skills and knowledge to make informed decisions and predictions across various domains. Sign up today and transform your career with data! πŸ“ˆ


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Related Topics

4136520
udemy ID
21/06/2021
course created date
07/07/2021
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