Multi-Class Classification Model for Sign Language MNIST Using Python and XGBoost

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The Sign Language MNIST dataset is a multi-class classification situation where we attempt to predict one of […]

Multi-Class Classification Model for Sign Language MNIST Using Python and Scikit-Learn

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The Sign Language MNIST dataset is a multi-class classification situation where we attempt to predict one of […]

Annie Duke on Thinking in Bets, Part 3

In her book, Thinking in Bets: Making Smarter Decisions When You Don’t Have All the Facts, Annie Duke draws on examples from business, sports, politics, and poker to share tools anyone can use to embrace uncertainty and make better decisions. These are some of my favorite concepts and takeaways from reading the book. “The stubbornness […]

圖和地面

(從我一個尊敬的作家,賽斯·高汀) 什麼時候想法成為個焦點? 因為我們不喜歡犯錯。 不僅如此,我們更不希望感到困惑。 因此,當我們遇到新事物時,我們會暫停一秒鐘,直到我們認為能了解它為止。 然後我們將鎖定我們的下一步。 但是,如果我們錯了怎麼辦? 如果我們對某種事情的了解是沒有用,是沒有正確性,或是不正確怎麼辦? 突然之間衝突會發生。 那是個錯誤和困惑之間的衝突。 因為停止犯錯的唯一方法是暫時進入混淆。,從一種狀態跳到另一種狀態。 這技巧是在於您將其鎖定之前要等待個幾拍。能適應“困惑”是邁向明智之路的墊腳石。

Multi-Label Deep Learning Model for Planet Understanding Amazon from Space Using TensorFlow Take 8

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The Planet: Understanding the Amazon from Space dataset is a multi-label classification situation where we attempt to […]

Multi-Label Deep Learning Model for Planet Understanding Amazon from Space Using TensorFlow Take 7

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The Planet: Understanding the Amazon from Space dataset is a multi-label classification situation where we attempt to […]

Time Series Model for Chicago Fed Hiring Expectations Survey Using Python and ARIMA

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a time series prediction model and document the end-to-end steps using a template. The Chicago Fed Hiring Expectations Survey dataset is a time series situation where we attempt to forecast future outcomes based […]