Simple Linear Regression (Implementation) in Telugu || Machine Learning in Telugu || Nerchuko

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In this video, we are implementing Simple Linear Regression using Python in Telugu.

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#simplelinearregression , #outliers , #normalization , #gradientdescent,#crossvalidation,#machinelearningintelugu,#supervisedlearning,#unsupervisedlearning,#reinforcementlearning,#ml,#mlintelugu,#pythonprojects,#pythontelugu,#nerchuko,#cintelugu,#deeplearningtelugu

[_-lokeshlucky]

# Simple Linear Regression

# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

# Importing the dataset
dataset =
X = dataset.iloc[:, :-1].values
y = dataset.iloc[:, 1].values

# Splitting the dataset into the Training set and Test set
from sklearn.cross_validation import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 1/3, random_state = 0)

# Fitting Simple Linear Regression to the Training set
from sklearn.linear_model import LinearRegression
regressor = LinearRegression()
regressor.fit(X_train, y_train)

# Predicting the Test set results
y_pred = regressor.predict(X_test)

# Visualising the Training set results
plt.scatter(X_train, y_train, color = 'red')
plt.plot(X_train, regressor.predict(X_train), color = 'blue')
plt.title('Salary vs Experience (Training set)')
plt.xlabel('Years of Experience')
plt.ylabel('Salary')
plt.show()

# Visualising the Test set results
plt.scatter(X_test, y_test, color = 'red')
plt.plot(X_train, regressor.predict(X_train), color = 'blue')
plt.title('Salary vs Experience (Test set)')
plt.xlabel('Years of Experience')
plt.ylabel('Salary')
plt.show()

[saimanisha]

Bro Google ads off cheyandi....serious ga chuste prathi video ki 2or 3 ads vastunnai... disturbance ga undi

[kasukurthisaikiran]

Anna what your using ide here is Jupiter

[prabhasraj]

provide dataset
it would be easy to to learn

[pallamangapathiraju]

Anna I want implement this in FPGA board anna link unte refer cheyu