#https://www.kaggle.com/datasets/camnugent/sandp500
time series seasonality python
Lets look at a specific year nowdf[“Date”] = pd.to_datetime(df[“Date”]) Summary Statistics by a Period (week, month, quarter etc)
machine learning imbalanced classes
#Read over#data professor#emma Ding#mahesh huddar#ritvik mathPart 1 Load a Dataset Part 2 SIMPLE EDA Part 3 Set Up the Data Part 4 BASELINE MODEL – NO FIXING THE IMBALANCE part 5Oversampling ExampleOversampling Example 1 RandomOverSampler To start we’re going to create a simple dataframe in python led to overfitting part 6Oversampling Method Example 2 SMOTE […]
simpsons paradox in Python
2nd example Running 1st plot just the mile time/miles per week
two sample z test scipy
https://youtu.be/EiDemzaNbBI To start we’re going to import a few python packages. ztest: Impors the function to perform a Z-test for comparing means. numpy as np: for numberical operations. from scipy.stats import norm: Imports the normal distribution functions. from statsmodels.stats.weightstats import ztest import numpy as np from scipy.stats import norm #import math Then we set the […]
paired sign test in Python
https://youtu.be/NoLyDRChxrU Firstly, we import statistical functions from Scipy binomtest: for performing a binomial test shapiro: for performing the Shapiro-Wilk test (tests for normality) numpy as np: for numerical operations and array handling. from scipy.stats import binomtest, shapiro import numpy as np Here we set the significance level “alpha” to 0.05 alpha = 0.05 Example 1 […]
Column Transformer
#drop #Example Passthrough some columns, drop offthers
extra trees classifier
The Extra Trees Classifier is an ensemble machine learning methid that cimbines predictions from many individual trees. https://youtu.be/S2e70seVw3k Aggregates the results from group of decision trees (Like a random forest)Difference1. ETC randomly selects the value to split features unlike a DTC which looks for the best2. Makes ETC More random + Faster Algorithm which […]
Python Reduced Row Echelon Form
From REF to RREF
Lasso Regression
https://youtu.be/LmpBt0tenJE#LASSO stands for Least Absolute Shrinkage and Selection Operator#L1 regularization #address overfitting – A model that is too complex may fit the training data very well#but perform poorly on new, unseen data #will get rid ofe useless features (make coefficients independent var next to 0)#- automatic feature selection # lead to a simpler model that […]