This course provides an introduction to programming and Python, as well as comprehensive coverage of Machine Learning using Python. It covers topics like conditions and functions, iterative and looping programming, dictionaries and tuples, regex and networked programs, classes and objects, Numpy and Pandas, and more. It also covers Machine Learning basics, end-to-end Machine Learning projects, classification, support vector machines, decision trees, ensembles, Random Forests, Adaboost, dimensionality reduction, Naive Bayes, XGBoost, and TensorFlow. Finally it also covers Deep Learning concepts and projects, including training deep neural nets, convolutional neural networks, recurrent neural networks, and autoencoders, as well as Deep Reinforcement Learning and advanced topics like Q learning. This course is ideal for anyone wanting to understand Machine Learning techniques and programs that are used in the field.
Machine Learning & Deep Learning Specialization with Python,Machine Learning & Deep Learning Specialization with Python"
via YouTube
Overview
Syllabus
Getting Aboard | Python For Machine Learning | Session 0.
Introduction to Programming & Python | Session 1 | Python For Machine Learning | CloudxLab.
Conditions and Functions | Session 2 | Python For Machine Learning | CloudxLab.
Loops and Iteration | Session 3 | Python For Machine Learning | CloudxLab.
Dictionaries and Tuples | Session 4 | Python For Machine Learning | CloudxLab.
Regular Expressions | Session 5 | Python For Machine Learning | CloudxLab.
Networked Programs | Session 6 | Python For Machine Learning | CloudxLab.
Classes and Objects | Session 7 | Python For Machine Learning | CloudxLab.
Numpy and Pandas | Session 8 | Python For Machine Learning | CloudxLab.
What is Machine Learning? | Machine Learning Basics | Machine Learning Tutorial | CloudxLab.
Machine Learning Project - Part 1 | Predict House Prices in California | CloudxLab.
Machine Learning Project - Part 2 | Predict House Prices in California | CloudxLab.
Session 3 - End to End Machine Learning Project - Test Train Split.
Session 4 - End to End Machine Learning Project - Visualizing the data.
Session 5 - End to End Machine Learning Project - Prepare the Data for ML Algorithms.
Session 6 - End to End Machine Learning Project - Fine Tuning Model.
Session 7 - Classification.
Session 8 - Classification - Performance Measures.
Session 9 - Classification - Error Analysis.
Session 10 - Training Models - Overview of Linear Algebra.
Session 11 - Training Models - Linear Regression: Gradient Descent.
Session 12 - Training Models - Stochastic Gradient Descent.
Session 13 - Training Models - Polynomial Regression, Ridge Lasso and Elastic Net.
Session 14 - Training Models - Logistic Regression.
Session 15 - Support Vector Machines - Introduction.
Session 16 - Support Vector Machines (Continue) & Decision Trees - Introduction.
Session 17 - Decision Trees (Continue) & Ensemble Learning - Introduction.
Session 18 - Ensemble Learning & Random Forest.
Session 19 - Adaboost.
Session 20 - Ensemble Learning & Dimensionality Reduction.
Session 21 - Dimensionality Reduction.
Session 22 - Naive Bayes and XGBoost.
What is Deep Learning | Introduction to Deep Learning | Deep Learning Tutorial | CloudxLab.
Deep Learning | End-to-end Machine Learning Project | CloudxLab.
TensorFlow Tutorial Part 1 | Deep Learning Using TensorFlow | TensorFlow Tutorial Python | CloudxLab.
TensorFlow Tutorial Part 2 | Deep Learning Using TensorFlow | TensorFlow Tutorial Python | CloudxLab.
Artificial Neural Network Tutorial - Part 1 | Deep Learning With Neural Networks | CloudxLab.
Artificial Neural Network Tutorial - Part 2 | Deep Learning With Neural Networks | CloudxLab.
Artificial Neural Network Tutorial - Part 3 | Deep Learning With Neural Networks | CloudxLab.
Training Neural Networks | Batch Normalization | Deep Learning With Neural Networks | CloudxLab.
Deep Learning | Training Deep Neural Nets - Part 1 | CloudxLab.
Deep Learning | Training Deep Neural Nets - Part 2 | CloudxLab.
Deep Learning | Convolutional Neural Network - Part 1 | CloudxLab.
Deep Learning | Convolutional Neural Network - Part 2 | CloudxLab.
Deep Learning | Recurrent Neural Network - Part 1 | CloudxLab.
Deep Learning | Recurrent Neural Network - Part 2 | CloudxLab.
Deep Learning | Autoencoders | CloudxLab.
Reinforcement Learning | Deep Reinforcement Learning | Deep Q Learning | CloudxLab.
Taught by
CloudxLab Official
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Reviews
4.0 rating, based on 1 Class Central review
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Thanks for this concept. i understand very helpful concept. Great learning and continue learning with free certificate. This is knowledgeable team for learning. I m learn about Artificial intelligence and machine learning before I have no knowledge but this concept i understand how to work machines and all things . I tell one thing please give me a certificate of machine learning and artificial intelligence. Once again thanks for learning.
