Best Easily to Understand Machine Learning Curriculum for Beginners

5 July, 2021

81 read  路  2 hit
Topic Lesson Grouping Learning Objectives
Introduction to machine learning Introduction Learn the basic concepts behind machine learning
The History of machine learning Introduction Learn the history underlying this field
Fairness and machine learning Introduction What are the important philosophical issues around fairness that students should consider when building and applying ML models?
Techniques for machine learning Introduction What techniques do ML researchers use to build ML models?
Introduction to regression Regression Get started with Python and Scikit-learn for regression models
North American pumpkin prices聽馃巸 Regression Visualize and clean data in preparation for ML
North American pumpkin prices聽馃巸 Regression Build linear and polynomial regression models
North American pumpkin prices聽馃巸 Regression Build a logistic regression model
A Web App聽馃攲 Web App Build a web app to use your trained model
Introduction to classification Classification Clean, prep, and visualize your data; introduction to classification
Delicious Asian and Indian cuisines聽馃崪 Classification Introduction to classifiers
Delicious Asian and Indian cuisines聽馃崪 Classification More classifiers
Delicious Asian and Indian cuisines聽馃崪 Classification Build a recommender web app using your model
Introduction to clustering Clustering Clean, prep, and visualize your data; Introduction to clustering
Exploring Nigerian Musical Tastes聽馃帶 Clustering Explore the K-Means clustering method
Introduction to natural language processing聽鈽曪笍 Natural language processing Learn the basics about NLP by building a simple bot
Common NLP Tasks聽鈽曪笍 Natural language processing Deepen your NLP knowledge by understanding common tasks required when dealing with language structures
Translation and sentiment analysis聽鈾ワ笍 Natural language processing Translation and sentiment analysis with Jane Austen
Romantic hotels of Europe聽鈾ワ笍 Natural language processing Sentiment analysis with hotel reviews, 1
Romantic hotels of Europe聽鈾ワ笍 Natural language processing Sentiment analysis with hotel reviews 2
Introduction to time series forecasting Time series Introduction to time series forecasting
鈿★笍聽World Power Usage聽鈿★笍聽- time series forecasting with ARIMA Time series Time series forecasting with ARIMA
Introduction to reinforcement learning Reinforcement learning Introduction to reinforcement learning with Q-Learning
Help Peter avoid the wolf!聽馃惡 Reinforcement learning Reinforcement learning Gym
Real-World ML scenarios and applications ML in the Wild Interesting and revealing real-world applications of classical ML
Technology Machine Learning computer science technology ArtificialIntelligence Microsoft
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Best Easily to Understand Machine Learning Curriculum for Beginners

5 July, 2021
81 read  路  2 hit
Topic Lesson Grouping Learning Objectives
Introduction to machine learning Introduction Learn the basic concepts behind machine learning
The History of machine learning Introduction Learn the history underlying this field
Fairness and machine learning Introduction What are the important philosophical issues around fairness that students should consider when building and applying ML models?
Techniques for machine learning Introduction What techniques do ML researchers use to build ML models?
Introduction to regression Regression Get started with Python and Scikit-learn for regression models
North American pumpkin prices聽馃巸 Regression Visualize and clean data in preparation for ML
North American pumpkin prices聽馃巸 Regression Build linear and polynomial regression models
North American pumpkin prices聽馃巸 Regression Build a logistic regression model
A Web App聽馃攲 Web App Build a web app to use your trained model
Introduction to classification Classification Clean, prep, and visualize your data; introduction to classification
Delicious Asian and Indian cuisines聽馃崪 Classification Introduction to classifiers
Delicious Asian and Indian cuisines聽馃崪 Classification More classifiers
Delicious Asian and Indian cuisines聽馃崪 Classification Build a recommender web app using your model
Introduction to clustering Clustering Clean, prep, and visualize your data; Introduction to clustering
Exploring Nigerian Musical Tastes聽馃帶 Clustering Explore the K-Means clustering method
Introduction to natural language processing聽鈽曪笍 Natural language processing Learn the basics about NLP by building a simple bot
Common NLP Tasks聽鈽曪笍 Natural language processing Deepen your NLP knowledge by understanding common tasks required when dealing with language structures
Translation and sentiment analysis聽鈾ワ笍 Natural language processing Translation and sentiment analysis with Jane Austen
Romantic hotels of Europe聽鈾ワ笍 Natural language processing Sentiment analysis with hotel reviews, 1
Romantic hotels of Europe聽鈾ワ笍 Natural language processing Sentiment analysis with hotel reviews 2
Introduction to time series forecasting Time series Introduction to time series forecasting
鈿★笍聽World Power Usage聽鈿★笍聽- time series forecasting with ARIMA Time series Time series forecasting with ARIMA
Introduction to reinforcement learning Reinforcement learning Introduction to reinforcement learning with Q-Learning
Help Peter avoid the wolf!聽馃惡 Reinforcement learning Reinforcement learning Gym
Real-World ML scenarios and applications ML in the Wild Interesting and revealing real-world applications of classical ML
Technology Machine Learning computer science technology ArtificialIntelligence Microsoft
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