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How can I learn machine learning online for free?

Learning Should Not Stop: Learn online (FREE) from Goeduhub and Get training certificate at the end. This page contain information for online free training in machine learning.

In the Outbreak of COVID-19, we want you to stay safe, stay home and use the best of your abilities to learn. Join Summer Online Live Internship Program-2020 Join Goeduhub to work on a real-time industrial-based Online Live Internship Program.

In addition to students affected by COVID 19-related shutdown, GOEDUHUB is offering its platform to all engineering college students free of cost for a duration of three months.

 Technology:  Machine Learning with Python
 FEE:  0/- (100% Discount)
 Duration:  10 Days Instructor Led online Training + 24*7 Support + Self Paced Tutorials
 Upcoming FREE workshop Date: on 21-05-2020
 Timing:  7.00 PM - 8.30 PM
Register 4 FREE Summer Training:
Register Here
by (100 points)
Thank you sir online Al and machine learning basic concepts
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Thanks sir for online machine learning classes
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Amazing Articles.. Thank You!
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Thank you sir for online machine learning classes

11 Answers

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by Goeduhub's Expert (7.8k points)
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Best answer

Which online course is best for machine learning?

Goeduhub Technologies provides best online training in machine learning. Index for this training is as given below.

System Requirement: System with Internet Connection, Python installation or any Python IDE like Jupyter notebook(Anaconda), Pycharm, Visual Studio, Colaboratory offered by Google Jupyter notebook environment etc.

How to Apply: Register Here

Python Module

Python Basic Introduction  Python Conditions (If-else)
Python Loops  Python String
Python List List Slicing
Python Tuples  Python Dictionary 
Python Sets Python Functions
Python Exception Handling File Handling in Pyhton
Python Classes and Objects       Python Web Scraping
Python Pygame  Python GUI and Tkinter 

Machine Learning Module

Numpy Pandas Introduction
Pandas DataFrame Pandas Slicing
Pandas with missing values Pandas Aggregate functions
MatplotLib SciPy
Supervised ML Intro Supervised Linear ML Boston-House-price
Supervised Classification ML Iris flower Unsupervised Learning (K-mean Algorithm)
Decision Tree Natural Language Processing
Natural Language Processing Part2

Free Video Lectures for Machine Learning With Python

Session Session Agenda Youtube Link
Session-1 · Introduction of Machine Learning
· Interesting facts About Python
· Top Reason For Learn Python
· Python Frameworks
· Python Features
· Variables, Keywords in Python
· Operators in Python
· Mutable vs Immutable Objects in Python
· Hands on · Decision making in python (if - else condition)
Video Lecture
Session-2 · Loops-for loop and while loop
· Python Strings
· Accessing String elements (String Slicing)
· Basic Operation on String
· String Function and Methods
· Python List
Video Lecture
Session-3 · List Slicing
· List Functions
· Tuples
· Dictionary
Video Lecture
Session-4

·         Machine Learning VS Deep Learning

·         Data Science Library- Numpy

·         Data Science Library- Pandas

·         Pandas DataFrames

Video Lecture
Session-5 ·         Pandas DataFrames-Data Science Library 
·         Pandas Slicing 
·        Pandas Aggregate functions 
·         MatplotLib
Video Lecture
Session-6 ·         Web Scraping in Python
·         Pandas Geopandas
·         Use-Case: Visualization of Coronavirus(covid-19) confirm cases in india 
Video Lecture
Session-7 ·         Web Scraping in Python 
·         Python Geopandas Library
·         Use-Case: Visualization of Coronavirus(covid-19) Confirm Cases in India on Map using Geopandas python 
·         Introduction to Supervised Machine Learning
Video Lecture
Session-8 ·         Linear Regression using Python
·         Implementation of Linear Regression, Sklearn Linear Regression
Video Lecture
Session-9 ·         Multiple Linear Regression using Python
·         Implementation of Multiple Linear Regression,
·         Boston housing Price Prediction
Video Lecture
Session-10 ·         Logistic Regression
·         Implementation of Iris flowers classification problem
·         Python Class and Objects
Video Lecture
Session-11 ·         Un-Supervised Mahine Learning
·         K-means- Clustering
·         Reinforcement Learning
Video Lecture
Session-12 ·         Project-Image Compression with K-Means Clustering Video Lecture
Session-13 ·         Python GUI Tkinter Video Lecture
Session-14 ·         Project- Stock Price Prediction Using Regression Video Lecture
Session-15 ·         Basics of Pygame Python Libraray
·         how to create a rectangular using pygame
·         how to change color of rectangular using pygame
·         how to upload background image using pygame
·         how to set music of your choice using pygame
·         Create a Simple Snake Game using pygame python library.
Video Lecture

Deep Learning Module (Optional: if you want to learn)

by (222 points)
21/4/20

I learn basic of python like data types, conditional statements, for loop and much more
by (112 points)
In yesterday session i learne about the python technology and its featured and characteristics,operators, indentation, loop concept(for,while), conditional statement like(if, else, elif).
by (416 points)
23/04/2020
 Python GUI and Tkinter  page is improper
 
After opening Python GUI and Tkinter  there given concept of exception handling which explain earlier.
by (100 points)
I have learnt list , tupple , dictionary and set.how they all are different from each other.
by (100 points)
i learned about the operators, indentation, loop, conditional statement like(if, else, elif).
by (274 points)
Thanks  to  goeduhub  for  this  free  source  of  knowledge
by (222 points)
It is wonderful course. It very helpful to all the guys who want to become a ml engineer.
As per this guideline I want to learn exta topic like deep learning provided by you.
Thanks for this course.
0 like 0 dislike
by (136 points)
Firstly i learned about the python technology and its featured and characteristics. And i learned about the operators, indentation, loop, conditional statement like(if, else, elif).
0 like 0 dislike
by (152 points)

Date:22/04/2020

Module: python basics

This module gives the glimpse of structure of python which is a high level, interpreted, dynamic, object oriented and easy to write language.

Also it supports multiple interfaces. It is majorly used in the field of web development, machine learning, games etc.

It provides us the print() function to put the output on screen.
 

0 like 0 dislike
by (152 points)

Date:- 22/04/2020

Module: if else statement

The are a special types of statements which provides a path to perform a task based on different conditions that are required.

Indentation is also a very important aspect of writing the programs in python.

0 like 0 dislike
by (152 points)

Date:- 22/04/2020

Module: loops in python

Python provides us the two major loops: for and while loops.
-For loop primarily used to check or iterate onto a finite data where end is known.
-If end is not known or one do not know the number of attempts which has to take place we use while loops to tackle the situation.

0 like 0 dislike
by (152 points)

Date:24-Apr-2020   

Module:Python List,tupple.dictionary and set

I have learnt list , tupple , dictionary and set.how they all are different from each other. when we wiil need to use one of them. their implementation and their represention

0 like 0 dislike
by (152 points)

Date: 24-Apr-2020  

Module: Python String
In python string are immutable data type meaning we can’t update it once it is declared. We have to delete the string element before updating the data. String can declared in two ways either in single quotes(‘’) or double quote(“”).

0 like 0 dislike
by (222 points)
Thanks goeduhub for this wonderful free platform. Thanks alot.
0 like 0 dislike
by (712 points)
thank you Goeduhub for this course .this can make difference between me and other people
0 like 0 dislike
by (557 points)
Thank you for providing online training in Python

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