Building Machine learning models

This repository contains intuition about the machine learning algorithms, data preprocessing and building machine learning models.

Libraries required:

numpy
pandas
sklearn
matplotlib

Data preprocessing

Does the required preprocessing of the datasets

Steps to be performed

1. Import all the libraries
2. Import the dataset
3. replace the null values to the mean of other values
4. Encode the categorical variables
5. Split the dataset to train and test sets
6. Feature scaling

Classifier

Builds a logistic regression classifier of a dataset to classify if a person will buy a car or not. The model predicts the output based on the age and salary of the person.

Steps to be performed

1. Do the required pre-processing
2. Fit logistic regression to the training set
3. predict the test set results
4. Make a confusion matrix to find accuracy
5. Visualize it on graph