12 Real World CaseStudies for Machine Learning 4.1 (22 ratings) Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
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.
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
 12 Real World CaseStudies for Machine Learning Video: .mp4 (1280×720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 4.81 GB Genre: eLearning Video | Duration: 102 lectures (11 hours, 30 mins) | Language: English Master Machine Learning