Online Summer Training in Machine Learning and Data Science with Python | Class-7

Agenda-
Linear Regression using Python
Implementation of Linear Regression, Sklearn Linear Regression

Reference Lectures for this session:-

Attendance Rules:

1. Write Session Summery below the YouTube Video after Every Class.

2. Solve assignment after Every Class on:

3. Solve Given Task and Share to your Linkedin Profile after every class.

Do attendance formalities with your Registration IDs.

****** Attendance Rules are Compulsory for Summer Training Certification.
#LinearRegression #MachineLearning #PythonOnlineTraining #PythonTraining #datasciencetraining

[santoshvodhala]

In this session I have learnt introduction to supervised learning using simple regression with example of years of experience and salary, implementation of linear regression, sklearn linear regression

[maneeshkothuri]

Gto _stp_3930linear regression, scikt -learn, individual varity, correlations, the visualization using scatter plot, dividing the data to 2 plots, train_test_split() function, random state, creating simple linear model, spliting of dataset in testing and training using model for prediction, scatter function.

[saipraneethnayakawadi]

GO_STP_2891 : In this session we learnt about supervised machine learning, then we learnt their types as regression and classifier, then we learnt about linear regression and learnt about sklearn library in python and making prediction model and see actual difference between predicted value and actual value. we also plot line using scatter plot for visualizing our predicted output.

[nanditaswami]

GO_STP_7313
NANDITA SWAMI
today the topics which were discussed includes Supervised machine learning, clarification, regression, Linear regression using python, scatter plot, implementation of linear regression, splitting of data sheet Into. Testing and training, linear model, prediction.
THANKS.
GO_STP_7313

[pallavisharma]

GO_STP_6219
Today I learned
Intro to supervised learning, different supervised learning(regression and classification) . Simple linear regression was discussed in detail We also learn about ek learn library. Visualization using scatter plot. We created a simple linear regression model and it's implementation.

[bhagyashreeghude]

GO_STP_3097:
in today's lecture we learned: supervised machine learning and its type i.e regression and classification. We learned about regression in detail, in regression we covered topics such as linear regression and multiple regression later we learned how to do regression, visualization of data using scatter plot, splitting of data, how to create linear models, predict data.

[ajaym]

GO_STP_7941
We have gone through with supervised learning and regression and we seen math behind liner regression and error calculation and then implemented it using python

[manteshwaripipare]

GO_STP_13460
The session started with intro to supervised learning, different supervised learning ( regression and classification ). Simple Linear Regression was discussed in detail in this particular session. With the help of scikit learn library how one can create a model and then test it for test data. In the end we also visualized train and test data.

[PrasanthL-]

GO_STP_6543
In this session, we gone through supervised learning overview as well as Linear regression, data preparetion (splitting of dataset into testing and training set), used sklearn linear regression to prepare the model, and done prediction.

[arushiruthala]

GO_STP_12615:
The session covered supervised learning, different supervised learning ( regression and classification ). Simple Linear Regression was discussed in detail in this particular session. With the help of scikit learn library how one can create a model and then test it for test data. In the end we also visualized train and test data.

[shrawankumarkumawat]

GO_STP_11554
In today's session we reviewed first type of machine learning : Supervised learning and its types as: Regression and classification and then studied linear regression and its implementation using sklearn library.

[premsaivakulabharanam]

GO_STP_1808
We learnt about different types of Ml along with regression and classification.And also we discussed how to split the data in to train and testing sets using sklearn library.

[urvibhanushali]

GO_STP_3059 : In this session, we covered machine learning, supervised learning, Linear regression, splitting of dataset into testing and training, sklearn linear regression, and prediction.

[kajalrai]

GO_STP_4 IN THIS SESSION WE HAVE LEARNT ABOUT LEARNING AND demonstrate to liners regression

[manojkannand]

Registration ID: GO_STP_939
In this session, the concept of supervised learning and its types was introduced. One of its type, Regression was taught in detail by importing a dataset, analyzing, visualizing, and training it using sklearn library.

[prathapreddy]

GO_STP_2402
#DAY--7
In this session we discuss about
--> Supervised = it has two types regression and classification
--> Linear regression = linear regression is an algorithm used to defining relation between the independent and dependent variables
it has two types linear and multilinear regression
linear regression can deal with one features and is continuous/numeric
multilinear regression deals with multiple features
--> In linear regression model we deal salary dataset, in this we used python libraries like numpy, pandas, matplotlib, sklearn..

[ajaybisht]

GO_STP_1023
In this session we have learnt about different types of Supervised algorthims, Sklearn, Linear regression.For practical demonstration we took dataset on Salary and do prediction.

[julipal]

GO_STP_81
In this session we learn the different types of MI and show demonstration of linear regression

[urvisaraswat]

GO_STP_8535
Today we learn- linear regression using python, supervised machine learning, splitting of dataset, creating simple linear models, sklearn.

[BoomBoom-zrqu]

GO_STP_9672
it was a informative class 7:- I have learn lots of things like
Linear Regression using Python -Implementation of Linear Regression, Sklearn Linear Regression in Python.
thank for such informative class.