Online Tutorial/Training/Certification in Machine Learning

Question

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.

Technology:	Complete Machine Learning & Data Science with Python
FEE:	0/- (100% Discount)
Duration [You will Get]:	45 Days Instructor Led online Training + 24*7 Support + 1 Self Paced Course on Machine Learning & Data Science with Python[11 HRS] @ Udemy
Batch Start Date:	Soon
Timing:	------
Register:	-----
Certification:

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Goeduhub's Online Courses at Udemy

Best Gadgets for Engineers  

Comments

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

Answer 1

Which online course is best for machine learning?

LEARN ML WITH FREE ONLINE MACHINE LEARNING COURSE

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

Statistics for Machine Learning and Data Science

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	Seaborn Library
Naive Bayes Classifier	Naive Bayes Classifier for Text Classification
K-Nearest Neighbor(KNN) Algorithm	Support Vector Machine Algorithm
Random Forest Algorithm	Image compression
Natural Language Processing Part1	Natural Language Processing Part2
Flask Web App Development	Flask Project and Deployment
Google Cloud Deployment	Amazon Web Service(AWS) Deployment
Capstone Project	Deep Learning Introduction

Data Science & Machine Learning With Python- Assignments, Excises, Questions and Solutions for practice

Machine Learning Interview Questions

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)

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Goeduhub's Online Courses at Udemy

Best Gadgets for Engineers 

Comments

21/4/20

I learn basic of python like data types, conditional statements, for loop and much more

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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).

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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.

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I have learnt list , tupple , dictionary and set.how they all are different from each other.

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i learned about the operators, indentation, loop, conditional statement like(if, else, elif).

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Thanks  to  goeduhub  for  this  free  source  of  knowledge

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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.

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Thank you so much sir and ma'am for providing Ml and DS Training

Answer 2

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).

Answer 3

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.
 

Answer 4

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.

Answer 5

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.

Answer 6

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

Answer 7

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(“”).

Answer 8

Thanks goeduhub for this wonderful free platform. Thanks alot.

Answer 9

thank you Goeduhub for this course .this can make difference between me and other people

Answer 10

Thank you for providing online training in Python