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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