Self Learning of Machine Learning Algorithm
naive-bayes, linear-regression, logistic-regression, support-vector-machine, random-search, k-nearest-neighbours, hierarchical-clustering, receiver-operating-characteristic, k-means-clustering, leave-one-out-cross-validation, area-under-curve, bootstrap-sampling, k-fold-cross-validation, underfitting-overfitting, grid-search-cv, ensemble-techniques
To install the libraries used in this project. Follow the below steps:
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
%matplotlib inlineTo run tests, run the following command
python app.pyData Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data
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