Eric (Jake) Laursen

CV

/
ai-ml/
python-for-data-science/

Mean, Median, & Mode
Standard Deviation & Variance
A Look At Data Distribution
Percentiles
Moments
Filtering Outliers
Covariance and Correlation
Conditional Probability
Linear Regression
Polynomial Regression
Multiple Regression
Train & Test
Naive Bayes
K-Means Clustering
XGBoost & Ensemble Learning
Support Vector Machines
Finding Similar Movies with Python
Finding More-Specific Similar Movies using Python
Using KNN to Find Similar Movies
Dimensional Reduction with Principal Component Analysis
Reinforcement Learning
K-Fold Cross-Validation
Analyzing Honey Production: EDA with Python
An Introduction to Tensorflow and Tensors
Working with matrixes

Polynomial Regression

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Page Tags:

python

data-science

jupyter

learning

numpy