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.

Homepage: https://www.udemy.com/course/12-real-world-case-studies-for-machine-learning/

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