Kira(she/her)

Data Analyst - Data Science Tribe | Went from zero to the dream job in 1 year and 3 months. If I could do it, you can do it too! | #fromZeroToHero #DataScience

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

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

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#66daysofdata day 32 round 7 #30daysofml day 12

Minimizing suared error to regression line
@khanacademy

Determinant
Essential Math for #datascienc
@oreillymedia

Scaling data
@DataCamp

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#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 🥰

[Kira(she/her) @dataQueen_pend]

#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

[Kira(she/her) @dataQueen_pend]

#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!😱