Machine Learning - A-Z™ Full Course
4.0 (284 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
18,900 students enrolled

Machine Learning - A-Z™ Full Course

Learn Machine Learning Algorithms in Python and R, Build Real Life Projects Like Speech and Face Recognition.
4.0 (284 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
18,900 students enrolled
Last updated 4/2020
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Current price: $13.99 Original price: $19.99 Discount: 30% off
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This course includes
  • 14.5 hours on-demand video
  • 14 articles
  • 6 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Master Machine Learning on Python & R
  • Know which Machine Learning model to choose for each type of problem
  • Have a great intuition of many Machine Learning models
  • Implement Machine Learning Algorithms
  • Use Machine Learning for personal purpose
  • Learn From MIT notes
  • Build No. of Great projects
  • Latest 2020 Project Ideas
Course content
Expand all 40 lectures 15:34:16
+ Machine Learning using R
13 lectures 08:23:25
Data Science vs Machine Learning
16:08
Machine Learning with R Machine
40:35
Complete Machine Learning Course
01:58:12
Machine Learning Algorithms
45:15
Linear Regression Algorithm
28:35
Linear Regression vs Logistic Regression
20:26
Random Forest Tutorial
01:07:13
Support Vector
30:14
Sentiment Analysis in R
46:15
Data Mining using R
36:35
Apriori Algorithm Explained Association Rule Mining Finding Frequent Itemset
18:27
Boosting Machine Learning
21:17
+ Machine Learning using Python
12 lectures 05:51:51
R vs Python
07:18
Logistic Regression in Python
53:40
Decision Tree Algorithm
46:37
K Means Clustering Algorithm K Means Example in Python
27:04
Naive Bayes Classifier in Python
30:19
Time Series Analysis
38:19
Twitter Sentiment Analysis
03:38
A Quick Guide To Sentiment Analysis
07:39
Reinforcement Learning
46:12
Q Learning Explained Reinforcement Learning
29:12
Probabilistic Graphical Models
32:56
Machine Learning Projects
28:57
+ Projects in ML
13 lectures 01:16:23
First project :Motion Studio
00:47
Lithion power
00:42
BluEX
01:02
Forecasting Website Traffic Using Facebook’s Prophet Library
06:17
Face Recognition with Python
04:22
Digit Recognition
07:05
Predicting Google’s Stock Price
04:43
Predict the Weather
16:50
Speech Recognition
20:38
More ideas For projects
02:32
Top Projects for Bieng Expert
05:30
Projects For Practise
04:22
2020 Latest Project Ideas
01:28
Requirements
  • some high school mathematics level.
  • Some programming experience in Python
  • A passion to learn, and basic computer skills!
Description

Interested in the field of Machine Learning? Then this course is for you!

As,

  • AI and machine learning have the potential to create an additional $2.6T in value by 2020 in Marketing and Sales, and up to $2T in manufacturing and supply chain planning.


  • Gartner predicts the business value created by AI will reach $3.9T in 2022.


  • IDC predicts worldwide spending on cognitive and Artificial Intelligence systems will reach $77.6B in 2022.


  • 23% of North American enterprises have machine learning embedded in at least one company function as of last year.19% of enterprises in developing markets including China and 21% in Europe also have successfully integrated machine learning into functions. The graph below shows the results of a McKinsey & Company survey of 2,135 enterprise senior executive respondents. The graph displays the percent of respondents whose organizations have embedded AI capabilities in at least one function or business unit. Respondents can select multiple AI capabilities


Scopes of Machine Learning

The machine learning technology is used in most banking and finance industry because the proper implication of technology can give the outstanding result and significant improvement can be seen in terms of replacing legacy system and developed enterprise. The machine learning technology helped the banking & Finance sector in taking company’s decision making, improving customer experience, increasing the backend and frontend staff efficiency.

  • Improved customer services

  • Improved customer services

  • Investment Predictions

  • Fraud Preventions

  • Personalized Digital Assistant

  • Marketing

  • Network Security


Projects In this course

You will get projects with source code , so it will be more understandable and rich for learning.

Like speech and face recognition, Bluex and many more.


What materials you will get int this course?

You will Get MIT press Notes on Machine learning and yes some of E- Books


So Hurry ! Get this course and Get in the Field of Machine Learning.


Quiz and Interview question will updated soon.

Who this course is for:
  • Anyone interested in Machine Learning.
  • Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
  • Software developers or programmers who want to transition into the lucrative data science and machine learning career path will learn a lot from this course.
  • Including business leaders, managers, app developers, consumers - you!