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Instructor: Cosmic .
Master Machine Learning by getting your hands dirty on Real Life Case studies. Be A Kaggle and Industry Grandmaster.
What you’ll learn
Get Hand-on on the Application part of machine learning
Learn and Add Industry Case Studies to your Portfolio
Learn to Visualize and Do Exploratory data analysis on Complex real World datasets using Mayplotlib, Seaborn and Plotly
Learning Feature Engineering on Big and Complex Data sets
Learning Feature Selection on Big and Complex Data sets
Learn to Optimize and Fine Tune Hyperparameters
Learn Advance Algorithms like XGBoost, CatBoost, LightGBM etc..
Learn about Regularization
Understand and experience the Real world complexity of Machine Learning Problems
Make your Self better in Tackling Machine Learning problem statements.
Requirements
Basics of Machine Learning
Python Programming
Jupyter Notebook
Description
12 Real World Case Studies for Machine Learning
Master Machine Learning by getting your hands dirty on Real Life Case studies. Be A Kaggle and Industry Grand master
You might know the theory of Machine Learning and know how to create algorithms. But as you know you must get your hands Dirty on Real-World Case Studies. There are so many courses which teaches the basic of Machine Learning But do not cover the Applications. In this course, We will Cover applications and Case Studies from the Industry.
This course will help you bridge the gap between a person who knows machine learning and a person who actually know how to apply Machine Learning in real world. Knowing Machine learning and Applying it in the real world is totally different.
This course will help you tackle big and complex data set and apply machine learning techniques to achieve good results. These Case Studies will also enhance your resume as you can add these to your Portfolio.
Below are the Case Studies we shall cover in this course:-
REGRESSION Case Studies
Retail Store Sales Prediction
Restaurant Sales Prediction
Inventory Prediction for Optimum Inventor Management
Tube Assembly Pricing for Optimizing the Manufacturing Facility
Coal Production Estimation
Sport Player Salary Prediction
CLASSIFICATION Case Studies
Diabetes Prediction for Preventive Care
Telecom Network Disruptions Prediction for Planning Preventive Maintenance
Breast Cancer Prediction for Preventive Care
Credit Card Fraud Detection
Heart Diseases Prediction for Preventive Care
Predict whether a Customer Shall Sign a Loan or Not
We know that you’re here because you value your time and Money.By getting this course, you can be assured that the course will explain everything in detail and if there are any doubts in the course, we will answer your doubts in less than 12 hours.
All the project Files are available for you.
So, What are you waiting for? Go Click on the Buy button and let’s explore the exciting journey of Machine Learning Case Studies.
I will be waiting for you inside the course…
Cosmic
Who this course is for:
Beginners interested in enhancing their Knowledge on the Application part of Machine Learning
Intermediates interested in enhancing their Knowledge on the Application part of Machine Learning
Professionals interested in enhancing their Knowledge on the Application part of Machine Learning
Anyone willing to Understand how Machine learning is applied to Real Life Problems can take this course.
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