Credit: Tutorial for ML (flower image recognition)
Credit: Tutorial for Markov Chains
Personal tutorials I've done from online resources listed above.
These tutorials can also be found in this repo with original commits as well as other work. I've since separated that repo into its own repos for each type of project.
- python version: 3.7.2
- python imports and packages:
import pandas
from pandas.plotting import scatter_matrix
import matplotlib.pyplot as plt
from sklearn import model_selection
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
from sklearn.linear_model import LogisticRegression
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC