Ben @ml_earnest
Data Scientist, Engineer, Baseball Enthusiast medium.com/@bearnest San Diego, CA Joined August 2018-
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Baseball and Data Science....just scratches the surface! #MachineLearning #DataScience Applying Data Science to Baseball link.medium.com/ABlKipNY6Ib
Bring the noise! machinelearningflashcards.com #machinelearning #DataScience
3 things I would do today to become an ML engineer 🧵↓
Why deep learning? machinelearningflashcards.com #MachineLearning #DataScience
Simple, but powerful.
Normalization method. machinelearningflashcards.com #MachineLearning #DataScience
Back to basics... machinelearningflashcards.com #MachineLearning #datascience
Splitting is a crucial step. machinelearningflashcards.com #MachineLearning #DataScience
What do you control, and what does the algorithm control? machinelearningflashcards.com
Greater than then sum of their parts! machinelearningflashcards.com #MachineLearning #DataScience
What do we mean by generalization? machinelearningflashcards.com #DataScience #MachineLearning
How do you impute? machinelearningflashcards.com #datascience #MachineLearning
Tool to help with tuning! machinelearningflashcards.com
On my list to try!
In honor of her album of the year win. #TaylorSwift #MachineLearning #Datascience A Fun Text Analysis of Taylor Swift’s Songs link.medium.com/xwUD85mKWGb
Give yourself a boost! machinelearningflashcards.com
Better can be the enemy of good enough. machinelearningflashcards.com
I use this regularly :) machinelearningflashcards.com
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Struggling with Machine Learning algorithms? 🤖 Then you better stay with me! 🤓 Today I am starting with a new ML model ... so it is the turn of the Support Vector Machine! 👇🏻
@ml_earnest Another example : learning rate (hyperparameter) in gradient descent, while the weights of the model would be parameters.
Feature selection strategies machinelearningflashcards.com
I have 500 features 😱 Let's tackle this by using recursive feature elimination for feature selection. I did a more sophisticated version of this at @DataRobot called Feature Importance Rank Ensembling (FIRE) - Fellow RFEs': @Soledad_Galli @iblanco_finance @ml_earnest
@ml_earnest I use regression imputation, I never tried the KNN method.
Error lens is a really nice VSCode extension. Highlights the entire line and displays the error inline.
ALTERNATIVE Feature selection methods that may have not been on your radar and are available through Python open-source 👇
Ever felt confused by SQL's execution flow? 🤔 Then you better stay with me! Today let's learn SQL's execution order and its importance 👇🏻
Yesterday marked the 9th anniversary of Max Scherzer's signing with the Washington Nationals. At the time, baseball was not happy with the Washington Nationals for the most expensive pitching contract in the history of baseball.
Classification machinelearningflashcards.com
@ml_earnest Thank you so much Ben! Glad to know you liked it! :)
"Logistic Regression is not merely a statistical tool but a storytelling device that translates numerical tales into binary outcomes." Read more from @rfeers' post: buff.ly/3S5hye5
Hello Folks🙏, So Today I am Continue my 100 Days Series of ML ✅Day 92 of #MachineLearning 🎰 ▫️ Topic - K-Nearest Neighbors (KNN) #Algorithm in ML #kNN is simplest of all ML algorithms & It is non-parametric algorithm used for classification & regression task A Thread🧵
When you have a little data and you want a lot of data. machinelearningflashcards.com
▫️ #Recall tells how many of actual positive cases we were able to predict correctly with our model ✅High recall value indicates that model is good at capturing all instances of +ve class, but it may come at cost of more false +ve (misclassifying -ve instances as positive)
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