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

• @Akash Kumar Jha

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 inline

To run tests, run the following command

  python app.py

Data Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data

👩‍💻 I’m interested in Petroleum Engineering

🧠 I’m currently learning Data Scientist

👯‍♀️ I’m looking to collaborate on Ideas & Data

1. Data Scientist
2. Data Analyst
3. Business Analyst
4. Machine Learning