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Machine Learning Project - Part 1 | Predict House Prices in California | CloudxLab
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Classroom Contents
Machine Learning & Deep Learning Specialization with Python,Machine Learning & Deep Learning Specialization with Python"
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- 1 Getting Aboard | Python For Machine Learning | Session 0
- 2 Introduction to Programming & Python | Session 1 | Python For Machine Learning | CloudxLab
- 3 Conditions and Functions | Session 2 | Python For Machine Learning | CloudxLab
- 4 Loops and Iteration | Session 3 | Python For Machine Learning | CloudxLab
- 5 Dictionaries and Tuples | Session 4 | Python For Machine Learning | CloudxLab
- 6 Regular Expressions | Session 5 | Python For Machine Learning | CloudxLab
- 7 Networked Programs | Session 6 | Python For Machine Learning | CloudxLab
- 8 Classes and Objects | Session 7 | Python For Machine Learning | CloudxLab
- 9 Numpy and Pandas | Session 8 | Python For Machine Learning | CloudxLab
- 10 What is Machine Learning? | Machine Learning Basics | Machine Learning Tutorial | CloudxLab
- 11 Machine Learning Project - Part 1 | Predict House Prices in California | CloudxLab
- 12 Machine Learning Project - Part 2 | Predict House Prices in California | CloudxLab
- 13 Session 3 - End to End Machine Learning Project - Test Train Split
- 14 Session 4 - End to End Machine Learning Project - Visualizing the data
- 15 Session 5 - End to End Machine Learning Project - Prepare the Data for ML Algorithms
- 16 Session 6 - End to End Machine Learning Project - Fine Tuning Model
- 17 Session 7 - Classification
- 18 Session 8 - Classification - Performance Measures
- 19 Session 9 - Classification - Error Analysis
- 20 Session 10 - Training Models - Overview of Linear Algebra
- 21 Session 11 - Training Models - Linear Regression: Gradient Descent
- 22 Session 12 - Training Models - Stochastic Gradient Descent
- 23 Session 13 - Training Models - Polynomial Regression, Ridge Lasso and Elastic Net
- 24 Session 14 - Training Models - Logistic Regression
- 25 Session 15 - Support Vector Machines - Introduction
- 26 Session 16 - Support Vector Machines (Continue) & Decision Trees - Introduction
- 27 Session 17 - Decision Trees (Continue) & Ensemble Learning - Introduction
- 28 Session 18 - Ensemble Learning & Random Forest
- 29 Session 19 - Adaboost
- 30 Session 20 - Ensemble Learning & Dimensionality Reduction
- 31 Session 21 - Dimensionality Reduction
- 32 Session 22 - Naive Bayes and XGBoost
- 33 What is Deep Learning | Introduction to Deep Learning | Deep Learning Tutorial | CloudxLab
- 34 Deep Learning | End-to-end Machine Learning Project | CloudxLab
- 35 TensorFlow Tutorial Part 1 | Deep Learning Using TensorFlow | TensorFlow Tutorial Python | CloudxLab
- 36 TensorFlow Tutorial Part 2 | Deep Learning Using TensorFlow | TensorFlow Tutorial Python | CloudxLab
- 37 Artificial Neural Network Tutorial - Part 1 | Deep Learning With Neural Networks | CloudxLab
- 38 Artificial Neural Network Tutorial - Part 2 | Deep Learning With Neural Networks | CloudxLab
- 39 Artificial Neural Network Tutorial - Part 3 | Deep Learning With Neural Networks | CloudxLab
- 40 Training Neural Networks | Batch Normalization | Deep Learning With Neural Networks | CloudxLab
- 41 Deep Learning | Training Deep Neural Nets - Part 1 | CloudxLab
- 42 Deep Learning | Training Deep Neural Nets - Part 2 | CloudxLab
- 43 Deep Learning | Convolutional Neural Network - Part 1 | CloudxLab
- 44 Deep Learning | Convolutional Neural Network - Part 2 | CloudxLab
- 45 Deep Learning | Recurrent Neural Network - Part 1 | CloudxLab
- 46 Deep Learning | Recurrent Neural Network - Part 2 | CloudxLab
- 47 Deep Learning | Autoencoders | CloudxLab
- 48 Reinforcement Learning | Deep Reinforcement Learning | Deep Q Learning | CloudxLab