Kira(she/her)

#66daysofdata day 43-47 round 7 #30daysofml day 23-27 Combinatorics and probability @khanacademy Stochastic Gradient descent, Pearson correlation @OReillyMedia Extracting labels in hierarchical clustering @DataCamp

#66daysofdata day 42 round 7 #30daysofml day 22 Study design summary and test @khanacademy LR using gradient descent Essential Math for #datascience @OReillyMedia Hierarchical clustering (dendrogram with scipy) @DataCamp

#66daysofdata day 42 round 7 #30daysofml day 22 Statistical experiments @khanacademy LR using gradient descent Essential Math for #datascience @OReillyMedia Clustering in pipeline - exercises @DataCamp

#66daysofdata day 39-41 round 7 #30daysofml day 19-21 Types of statistical studies @khanacademy LR using matrix inverse and transpose, LR using QR decomposition Essential Math for #datascience @OReillyMedia Feature transformations for better clustering @DataCamp

#66daysofdata day 38 round 7 #30daysofml day 18 Sampling and observational studies @khanacademy Squared sum of residuals Essential Math for #datascience @OReillyMedia Feature transformations for better clustering @DataCamp

#66daysofdata day 37 round 7 #30daysofml day 17 Samples, valid claims in statistics @khanacademy Linear Regression basics Essential Math for #datascience @OReillyMedia Clustering evaluation @DataCamp

#66daysofdata day 36 round 7 #30daysofml day 16 Basics of statistics @khanacademy Linear algebra exercises Essential Math for #datascience @OReillyMedia Started revision of unsupervised sklearn - continues @DataCamp

@khanacademy @OReillyMedia @DataCamp Thank you very much! <3 :)

@dataQueen_pend @OReillyMedia @DataCamp Day 35 and still going strong, that's what I call dedication! 🎉 Keep exploring that bivariate data, there's a whole world of insights waiting for you.

#66daysofdata day 35 round 7 #30daysofml day 15 Revision and test of exploring bivariate data @khanacademy Matrix decomposition Essential Math for #datascience @OReillyMedia Started revision of unsupervised sklearn @DataCamp

#66daysofdata day 34 round 7 #30daysofml day 14 Evaluating regression model with r_squared (calculating r_squared) @khanacademy Solving systems of equation with matirces Essential Math for #datascience @OReillyMedia Wrapping up basics of supervised sklearn @DataCamp

#66daysofdata day 33 round 7 #30daysofml day 13 Minimizing squared error to regression line @khanacademy Types of matrices Essential Math for #datascience @oreillymedia Evaluating multiple models performance @DataCamp

#66daysofdata day 32 round 7 #30daysofml day 12 Minimizing suared error to regression line @khanacademy Determinant Essential Math for #datascienc @oreillymedia Scaling data @DataCamp

#66daysofdata day 31 round 7 #30daysofml day 11 Assessing the fit in leas_squares regression @khanacademy matrix_matrix multiplication Essential Math for #DataScience @OReillyMedia basics of pipeline creation based on classification problems @DataCamp

#66daysofdata day 30 round 7 #30daysofml day 10 RMSE, R-squared and interpreting regression metrics @khanacademy matrix_vector multiplication Essential Math for #DataScience @OReillyMedia Preprocessing and pipelines @DataCamp

#66daysofdata day 29 round 7 #30daysofml day 8 R-squared intuition @khanacademy matrix-vector multiplication Essential Math for #DataScience @OReillyMedia Preprocessing - basic of dealings with missing values (dropping, imputing) @DataCamp

#66daysofdata day 28 round 7 #30daysofml day 8 Interpreting residuals, creating residual plots @khanacademy Linear transformations - Essential Math for #DataScience @OReillyMedia Preprocessing - transforming cat features into binary @DataCamp

#66daysofdata day 27 round 7 #30daysofml day 7 Back from work trip, back on track! Interpreting slope and y_intercept for linear models @khanacademy Linear shell and linear dependency @OReillyMedia Essential Math for Data Science Hyperparameter tuning @DataCamp

#66daysofdata day 25-26 round 7 #30daysofml day 5-6 Not much of a strictly 'study'. But... I gladly took part of #WomenInTech Conference. And listned to amazing speekers about equality, speeking up, ai and data. Happy to had this opportunity 🥰

#66daysofdata day 24 round 7 #30daysofml day 4 Calculating the equation of a regression line @khanacademy Scaling vectors - Essential Math for Data Science @OReillyMedia ROC AUC, Hyperparameter tuning with GridSearchCV and RandomizedSearchCV @DataCamp

#66daysofdata day 23 round 7 #30daysofml day 3 Calculating the equation of a regression line - revision and exercises @khanacademy Logistic Regression + ROC - exercises @DataCamp No linear algebra today. Oh no!😱