Machine Learning Crash Course-2 Hours | Learn Machine Learning | Machine Learning Tutorial | Edureka

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This Edureka Machine Learning video on "Machine Learning Full Course" will provide you with detailed and comprehensive knowledge of Machine Learning. It will provide you with the in-depth knowledge of the different types of Machine Learning with the different algorithms that lie under each category with a demo for each algorithm and the approach one should take to solve these problems. This Machine Learning tutorial will be covering the following topics:
1:44 What is Data Science?
3:09 Data Science Peripherals
3:37 What is Machine learning?
4:10 Features of Machine Learning
4:46 How it works?
5:36 Applications of Machine Learning
13:21 Market Trend of Machine Learning
14:29 Machine Learning Life Cycle
17:26 Important Python Libraries
19:20 Types of Machine Learning
19:33 Supervised Learning
20:50 Unsupervised Learning
21:52 Reinforcement Learning
23:23 Detailed Supervised Learning
24:50 Supervised Learning Algorithms
26:28 Linear Regression
28:53 Use Case(with Demo)
35:23 Model Fitting
36:36 Need for Logistic Regression
37:33 What is Logistic Regression?
39:46 What is Decision Tree?
49:33 What is Random Forest?
57:10 What is Naïve Bayes?
1:09:16 Detailed Unsupervised Learning
1:10:15 What is Clustering?
1:12:13 Types of Clustering
1:25:57 Market Basket Analysis
1:27:02 Association Rule Mining
1:29:06 Example
1:29:44 Apriori Algorithm
1:39:11 Detailed Reinforcement Learning
1:41:46 Reward Maximization
1:44:13 The Epsilon Greedy Algorithm
1:44:59 Markov Decision Process
1:47:19 Q-Learning
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About the Masters Program
Edureka’s Machine Learning Certification Training using Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. This Machine Learning using Python Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Data Science Certification Course, you’ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.
Why Go for this Course?
Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning
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Who should go for this course?
Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For TensorflowTraining and Certification, Call us at US: [phone] (Toll Free) or India: [phone] Or, write back to us at [e-mail]

[@edurekaIN]

Please share you email id in the comment section if you need the data-sets and codes in this video. For Edureka Machine Learning & AI Masters Course Curriculum, Visit our Website: bit.ly/2QixjBC

[@saideepu8843]

So cool session... it helped me to understand concepts of ML. Can I get the codes and dataset so that i can also try.

[@edurekaIN]

Thanks for the compliment! Please share your email id with us (it will not be published). We will forward the source code and dataset to your email address.

[@subramanianchenniappan4059]

Ok . Thanks

[@imranali1736]

Thanks a lot for giving such a wonderful insight in this time span.

[@yadneshkhode3091]

Thankyou so much for this!!

[@ravitejagudla3711]

Thanks for sharing Edureka Team.. The way of explanation is really awesome..

[@hananemeftahi202]

thank you so much ,so helpful

[@vikash2642]

Thankyou so much edureka!

[@tariqshabirbhatti4793]

Thanks Edureka, you are doing great job...!

[@austinsangs8792]

thanks a lot Edureka! You rock

[@edurekaIN]

Hey Austin! Thanks for the compliment. Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!

[@virupakshPandey]

Thank you edureka

[@lifeexplorer2965]

Thankyou very much edureka! I really enjoyed learning this tutorial.

[@edurekaIN]

Thank you for watching our video, Ashwani. We are glad you loved the video. Do subscribe, like and share to stay connected with us. Cheers😊

[@krishnavamsi.g8320]

Such a great explanation and it is very useful

[@deeparavikumar5674]

Awesome!!! Very Nice !!!

[@amitYouTubee]

The best teaching style

[@AnshumanSingh-gk2md]

Edureka team awesome effort ..amazin video..

[@robinkumar9021]

You have done really nice job thanks Edureka team

[@edurekaIN]

Hi Robin, Thanks for appreciating our efforts! We are glad you loved the video. Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!

[@shaileynarula525]

This is amazing! Hats Off to Edureka! :)

[@edurekaIN]

Thanks for the compliment, Shailey. Do give this video a thumbs up and subscribe to the channel for more amazing content. Cheers!

[@venky9949733154]

NICE EXP;ANATION

[@aspinc4618]

Thank you ..team edureka... Plz make a video about text analytics

[@edurekaIN]

Thanks for the compliment Aspin ! We are glad you loved the video. You can refer to this Video for Text Analytics and NLP. kzbin.info/www/bejne/Zmayf6J9m9J-rKM Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!

[@syrymzhakypbekov1949]

I like it! Super! Keep Going!

[@ashokmanthena4367]

Excellent very helpful thanks edureka

[@Bubu020174]

Thanks

[@dr.udhayashrees5943]

very good explanation

[@virupakshPandey]

For such a great session

[@edurekaIN]

Thanks for the compliment Virupaksh! We are glad you loved the video. Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!

[@ajeet6516]

this course is great. kindly send me the data-sets for tryout

[@edurekaIN]

Thanks Ajit! Please mention your email id (it will not be published). We will forward the dataset to your email address.

[@jaber4474]

This video came in the right time . Thanks a lot

[@edurekaIN]

Hey Jaber, thank you for watching our video. Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!

[@jaber4474]

I am already a subscriper in your awesome channel . Keep up the good work @@edurekaIN

[@manideepaggarwal]

This provided great understanding for ML Concepts , Is there a Git repo where I can access codes and dataset used in video ?

[@irfanuddinful]

Good coverage and nice presentation Edureka. Great Job !! can you share data set and source code which helps to practice

[@edurekaIN]

Thanks for the appreciation, Irfan. Please mention your email id (it will not be published). We will forward the dataset and code to your email address.

[@enochklu8088]

Thanks a million! Please share links to the datasets. Thanks again.

[@edurekaIN]

Thanks for watching the video, Enoch. Please mention your email id (it will not be published). We will forward the dataset to your email address.

[@Cloud-Radio]

i am overwhelmed to get this playlist..Thanks a lot edureka

[@edurekaIN]

Hi Dipesh, thanks for the compliment. We are delighted to see learners like you on board with us. Do subscribe, like and share to stay connected with us.

[@Khan-nj6jm]

Hi thank u so much edureka explanation is too good i need dataset

[@edurekaIN]

Thanks Ahana, Please share your email id.

[@weiwei5202]

Great course for the AI beginners, Edureka! Can I have the code for my practice purpose

[@edurekaIN]

Thanks for the compliment! Please share your email id with us (it will not be published). We will forward the code to your email address.

[@Relqeds]

Great course , thanks Edureka! Can I have the code for my practice purpose

[@edurekaIN]

Good to know our contents and videos are helping you learn better . We are glad to have you with us ! Please share your mail id to send the data sheets to help you learn better :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

[@shanthid6306]

Thanks a lot edureka, can I have the code for my practice purpose

[@edurekaIN]

Please share your email id.

[@nandinichatterjee9590]

Thanks for the video. If would kindly share the dataset, would be grateful.

[@edurekaIN]

Please share your email id with us (it will not be published). We will forward the dataset to your email address.

[@govindthakur1149]

Thank so much sir

[@saideepu8843]

Very useful video... Helped me in understanding the ML concepts. Can I get the codes and datasets ??

[@edurekaIN]

Thanks for the appreciation, Deepu! Please share your email id with us (it will not be published). We will forward the source code and dataset to your email address.

[@AnandNayyar]

Kindly share the ppt please it’s really awesome

[@edurekaIN]

Thanks for the compliment, Anand. We are working on your request. The ppt will be out soon. Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!

[@robinkumar9021]

Nice presentation and teaching style. Really very much helpful this video is. from where we can get the dataset and codes???

[@edurekaIN]

Thank you for appreciating our work, Robin. We are delighted to know that you loved the video. You can share your email id with us (it will not be published). We will forward you the source code and dataset to your email address. Cheers!

[@theadventure9329]

Is it possible to include links to data sets and source code in video description it self?

[@edurekaIN]

Hey, you can share your email id with us (it will not be published). We will forward you the source code and dataset to your email address.

[@robinkumar9021]

Dataset and coding link send kro Bhai

[@edurekaIN]

Hey Robin, please share your email id with us (it will not be published). We will forward the source code and dataset to your email address.

[@siddharthjain7751]

Is there a prerequisite to learning this course

[@GopiKrishna-jx8mq]

Good presentation and exllecent lecture.can you share dataset and source code which helps to practice

[@edurekaIN]

Hi Gopi, kindly drop in your email id to help us assist you with the required dataset and source code. Cheers :)

[@banothjyothika]

supr class

[@parmanandkushwah5494]

Really good work and u can make a video's in #Hindi......?

[@gourusai101]

I want all the mathematics behinds all algorithms explained in this video.

[@edurekaIN]

Hi Gouru, You can go through our blog playlist: www.edureka.co/blog/introduction-to-machine-learning/

[@rasoolbee9188]

sir i want data science complete course and how python and ml using in data science can u please give the complete course

[@edurekaIN]

Greetings! We have a Datascience playlist, you can check it out here: kzbin.info/www/bejne/Z4WxgomDhJWUhZY You can also get enrolled in our courses here: www.edureka.co/ If you have any other doubts, you can also share your phone number and email id with us (it will not be published) our course advisors will get in touch with you. Have a good day!

[@DnyaneshwarPanchaldsp]

👌👌💐💐

[@pradeeptiwari6204]

send the pdf of these video. Very useful and interactive

[@edurekaIN]

Hi Pradeep, You can refer to our ppt here: www.slideshare.net/EdurekaIN/machine-learning-course-edureka

[@bhimkarki8698]

Very nice presentation!!! Is there a way you can share the code used in the presentation?

[@edurekaIN]

Hey Bhim, Thanks for the compliment! Yes, You can share your email id with us (it will not be published). We will forward you the source code and dataset to your email address. Cheers!

[@user-kf2nn2lc8t]

Can we get certificate for it?

[@httechnology3698]

Make videos on java please

[@edurekaIN]

Hey Harish! We do have Java video tutorials. You can check them out here: kzbin.info/www/bejne/p6fJY3mDqa-DkLs

[@akshayvnair9231]

Hi, please provide the mail id to which I can drop a mail requesting the datasets and the code.

[@sweealamak628]

This is a very complete and well explained tutorial on ML. Have tried to grasp concepts with other vids but the speaker always drifted off topic and left me wondering whether I had fully understood it. Thank you so much for helping us. Hope to land a ML related job soon!

[@edurekaIN]

Hi, thank you for your valuable feedback. On the brightside, do subscribe to our channel and stay tuned for more informative sessions. Happy learning :)

[@sweealamak628]

@@edurekaIN Yes! I subscribed! Thank You 🙏

[@Trueliving342]

Please share data-sets and codes for reference

[@edurekaIN]

Hi great to hear from you :) please share your mail id ! so that we can share the data sheet with you :)Do subscribe the channel for more updates : )

[@kavyaasenthilkumar394]

Can you please share the dataset and code? It will be really helpful

[@edurekaIN]

We are glad to have learners like you. Please do share your mail id so that we can send the notes or source codes. Do subscribe our channel and hit that bell icon to never miss an video from our channel

[@akshaysharma6468]

hii i want the data sets for practising on python

[@edurekaIN]

Hi Akshay, Hi Rahaman, please share your email id with us (it will not be published). We will forward the source code and dataset to your email address.

[@dr.udhayashrees5943]

kindly share data sets and coding

[@edurekaIN]

Please mention your email id (it will not be published). We will forward the dataset to your email address.

[@balachander1015]

Hi Team, can you share me the dataset used in this video

[@edurekaIN]

Please share your email id.

[@vinothinijawahar6938]

Regression ??

[@edurekaIN]

Hey Vinothini, Regression is explained around (26:00).

[@santinathdey3972]

Can you share githup link for the code and dataset

[@edurekaIN]

Please mention your email id (it will not be published). We will forward the code and dataset to your email address.

[@mukesh_jat]

linear regression coding part cant see

[@edurekaIN]

Please share your email id.

[@RenuSankhlaBAI]

can u share slides of this tutorial

[@edurekaIN]

Good to know your learning with edureka :) please share your mail id to share the data sheet! We'll Update you soon !

[@nehapant1027]

Can you please share the code and the dataset.

[@edurekaIN]

Please mention your email id (it will not be published). We will forward the dataset to your email address.

[@abinayaashalini70]

I need the dataset

[@edurekaIN]

Hi Shalini, thanks for watching the video! Please mention your email id (it will not be published). We will forward the dataset to your email address. Cheers!

[@madhavimvh7251]

please send me the dataset as well

[@edurekaIN]

Hi Madhavi, please share your email id with us (it will not be published). We will forward the source code and dataset to your email address.

[@hariharancse7273]

Sir I have a ML code for any how to convert the code into application

[@edurekaIN]

Hey, thank you for watching our video. We have forwarded your query to the team. We will get back to you soon. Have a good day. Cheers!

[@Bubu020174]

Thanks

[@KRADKRI]

Good coverage and nice presentation Edureka. Great Job !! can you share data set and source code which helps to practice.

[@edurekaIN]

Thanks for the appreciation! Please share your email id with us (it will not be published). We will forward the source code and dataset to your email address.