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Introduction To Machine Learning with Python All You Need To Know About Machine Learning with Python, with examples and use cases.

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HarunMbaabu/Machine-Learing-Models-Using-Python

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Machine-Learing-Models-Using-Python

Common Machine Learning models in python. Developed in python 3.6

Importing Libraries

import pandas as pd 
import matatplotlib.pyplot as plt
import numpy as np 
import seaborn as sns 
%matplotlib inline 
%load_ext autoreload 
%autoreload 2

Reading data set

data = pd.read_csv("iris.csv")

Visualizing the first 5 attributes

data.head()

1).linear Regression.

Uploaded: 27th september 2019

linear regression is a linear approach to modeling the relationship between a scalar response and one or more explanatory variables.

2) K-nearest neighbors

uploaded: 27th september 2019

The k-nearest neighbors (KNN) algorithm is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems

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Introduction To Machine Learning with Python All You Need To Know About Machine Learning with Python, with examples and use cases.

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