Students
120
Lectures
75
Course Duration
Unlimited Duration
Updated
February 28, 2022
Frustrated with one-off blogs and too much math when trying to learn Machine Learning? Take the Next Step and Get Experienc-Based Playbooks that will Guide You to a Specific Result. Welcome to: Machine Learning Essentials (Phase II)
Ernesto Lee
4.25
4.25
22
Courses
1729
Students
Discover the process that you can use to get started and get good at applied machine learning for predictive modeling with the Python ecosystem including Pandas and scikit-learn. This book will lead you from a developer who is interested in machine learning with Python to a developer who has the resources and capability to work through a new dataset end-to-end using Python and develop accurate predictive models.
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- Intro to ML Agenda Unlimited
- Introduction to Machine Learning Unlimited
- Types of Machine Learning Unlimited
- OPTIONAL TYPES OF ML Unlimited
- DECK Unlimited
- Hands on Intro to ML Lab Unlimited
- Intro to ML Quiz 00:15:00
- Programming Assignment 1 week, 3 days
- What is Machine Learning? Unlimited
- Intro to Machine Learning Quiz 00:05:00
- Review Of Probability Unlimited
- Probability Quiz 00:05:00
- What is Supervised Learning? Unlimited
- What is Unsupervised Learning? Unlimited
- Classification Problems Unlimited
- K – Nearest Neighbor Unlimited
- Hands on K-Nearest Neighbor Unlimited
- Coding Assignment – KNN Unlimited
- Recommender System in Python Unlimited
- Evaluating Classification Models Unlimited
- Hyper Parameter Tuning and Model Fitting Unlimited
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- Supervised Learning Agenda Unlimited
- Unit 2 Deck Unlimited
- The Bias-Variance dilemma Unlimited
- Regression Problems Unlimited
- Linear Regression Unlimited
- Hand on Linear Regression Unlimited
- Coding Assignment – Linear Regression Unlimited
- Evaluating Regression models Unlimited
- Logistic Regression Unlimited
- Module 2: Supervised Learning Quiz 00:05:00
- Supervised Learning PDF Unlimited
- Unsupervised Learning Agenda Unlimited
- Introduction to Unsupervised Learning Unlimited
- Clustering Unlimited
- K – Means Clustering Unlimited
- Hands on K-Means Clustering Unlimited
- Hierarchical clustering methods Unlimited
- Principal Component Analysis (PCA) Unlimited
- Coding Assignment Unlimited
- Module 3: Unsupervised Learning Quiz 00:05:00
- Unsupervised Learning PDF Unlimited
- Neural Networks Agenda Unlimited
- Model and Feature Selection Unlimited
- Loss functions and gradient Descent Unlimited
- Artificial Neurons and Neural Networks Unlimited
- Training neural networks and Backpropagation Unlimited
- Pattern Recognition with Neural Networks Unlimited
- Natural Language Processing (NLP) using Neural Networks Unlimited
- Using NLP to build a Sentiment Analyzer Unlimited
- Challenge Lab Unlimited
- Python Keywords Cheatsheet Unlimited
- Python Data Structures Cheatsheet Unlimited
- Python Complex Data Types Cheatsheet Unlimited
- Python Classes Cheatsheet Unlimited
- Python Functions Cheatsheet Unlimited
- Common Python Code Challenges Unlimited
