Take a 44-Hour Deep Dive Into the Algorithms & Statistical Models That Make Machine Learning & Artificial Intelligence Wor

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Statistics & Machine Learning Techniques for Regression Analysis with Python

This course offers a complete guide to practical data science using Python. You’ll cover all aspects of practical data science in Python. By storing, filtering, managing, and manipulating data in Python, you can give your company a competitive edge and boost your career to the next level.

This is an 8 Course bundle (449 Lessons) containing the following courses:

• Pre-Process & Visualize Data with Tidy Techniques in R: Become Highly Proficient in Data Pre-Processing, Wrangling & Visualization Using the 2 Most In-Demand R Data Science Packages
• Practical Data Pre-Processing & Visualization Training with Python: Learn to Pre-Process, Wrangle & Visualize Data for Practical Data Science Applications in Python
• Working with Classes: Classify & Cluster Data With Python: Harness The Power of Machine Learning For Unsupervised & Supervised Learning In Python
• Statistics & Machine Learning Techniques for Regression Analysis with Python: Learn Regression Analysis for Practical Statistical Modeling & Machine Learning In Python
• Tensorflow & Keras Masterclass for Machine Learning and AI in Python: Master the Most Important Deep Learning Frameworks for Python Data Science
• Complete Data Science Training with Python for Data Analysis: Learn Statistics, Visualization, Machine Learning & More
• Tensorflow Masterclass for Machine Learning & AI: Complete Tensorflow Mastery For Machine Learning & Deep Learning in Python
• Machine Learning Terminology & Process For Beginners: Use Hands-On Labs to Learn Machine Learning Terminology & Processes