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warmups's Introduction

Warmup Overview

Title Description
day02 Create a function, return a dictionary
day03 dictionary, sum a specific key
day04 function, dictionary, modulos
day05 dictionary, text manipulation
day06 list comp, function, strings
day07 pandas, datetime
day08 pandas, datetime, barplot
day09 numpy, columns
day10 functions, programing
day11 numpy, slices, np.where
day12 SQL, connection
day13 pandas plotting, group by
day14 text, lists
day15 APIs
day21 python, programming, permutations
day22 PMF
day23 PMF
day24 Stats, probability, distributions
day25 Distributions
day26 Sample v Population, bootstrapping
day27 Hypothesis testing
day28 Power score
day29 Plotly and Seaborn
day31 Probability
day32 Correlation
day33 VIF, Multicollinearity
day34 sklearn model flow
day35 OHE, dummies
day41 Classes
day42 Classes
day43 Bayes
day44 RMSE from scratch
day45 Gradient Descent
day46 Linear Algebra
day47 Logistic Regression
day48 Maximum Likelihood Estimation
day49 Naive Bayes
day50 GridSeach, hyperparameters
day51 Decision Trees

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