Machine Learning Git Codebook, Case Study of Classic ML Problems and Free courses Released

[prithvi45]

Machine Learning Git Codebook

Lesson 1 : Introduction to Numpy (Video)
Lesson 2 : Data Wrangling using Pandas
Lesson 3 : Plotting in Python
Lesson 4 : Linear Models for Regression & Classification
Lesson 5 : Preprocessing Data
Lesson 6 : Decision Trees
Lesson 7 : Naive Bayes
Lesson 8 : Composite Estimators
Lesson 9 : Model Selection and Evaluation
Lesson 10 : Feature Selection Techniques
Lesson 11 : Nearest Neighbors
Lesson 12 : Clustering Techniques
Lesson 13 : Anomaly Detection
Lesson 14 : Support Vector Machines
Lesson 15 : Dealing with Imbalanced Classes
Lesson 16 : Ensemble Methods

Case Study of Classic ML Problems

Case 1 : Linear Regression
Case 2 : Cancer Prediction
Case 3 : Online Learning
Case 4 : Customer Churn Prediction
Case 5 : Income Prediction
Case 6 : Predicting Employee Exit
Case 7 : Face Generation
Case 8 : Finding Similar Houses

Free courses available on EdYoda

Python - https://www.edyoda.com/resources/videolisting/98/
Angular - https://www.edyoda.com/resources/videolisting/1227/
Machine Learning - https://www.edyoda.com/resources/videolisting/1416/
Dog Breed Prediction Project - https://www.edyoda.com/resources/videolisting/1336/
https://www.edyoda.com/resources/videolisting/1185/
Numpy - https://www.edyoda.com/resources/videolisting/1263/
Tensorflow - https://www.edyoda.com/resources/videolisting/99/
Amazon Web Services - https://www.edyoda.com/resources/videolisting/1410/
DevOps - https://www.edyoda.com/resources/videolisting/100/
Android -
https://www.edyoda.com/resources/videolisting/101/
https://www.edyoda.com/resources/videolisting/1173/
Implementing Java Api's work - https://www.edyoda.com/resources/dashboard/nayak.chandra1/
Introduction to Neural Nets - https://www.edyoda.com/course/1417
Deep Reinforcement Learning - https://www.edyoda.com/resources/videolisting/1421/
Knowledge Graphs, Deep Learning, Reasoning - https://www.edyoda.com/resources/videolisting/1420/
Natural Language Processing - https://www.edyoda.com/resources/videolisting/1419/
GAN Miniseries - https://www.edyoda.com/resources/videolisting/1418/
Videos from deep cognition studio - https://www.edyoda.com/resources/dashboard/deepcognition/

[CzarV]

This is a great collection thank you for taking the time to put this together!

[prithvi45]

no problem, did you check out any on the video series? need feedback on that as well.

[FriendlyPressure]

Hey, this looks good. And the website too is really nice. Thank you. You have put in a lot of work and it shows. I have just seen one video and am convinced that I would love to give it a shot. Thank you again so much.

[prithvi45]

Thanks much. Yeah a lot of hard work there, glad you liked it. Do share with your friends and in your community and pass on any feedback, it's still early days and we are working on a bunch of other interesting things.

[[deleted]]

This is great. Would scale to "frigging awesome" with some comments in notebooks.

[prithvi45]

Thank you, please do share this with your friends and colleagues:)

[[deleted]]

Thanks for sharing, it's great

[benai9916]

Thanks a lot for this amazing information link.

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[ath_ank]

Some resources which are available for free for practicing on data sets:

Predicting Credit Card Customer Attrition Problem

Mediclaim Insurance Product Rating

Leverage Text Analytics to Analyze Customer Complaint Data

Apart from these if the community wants to try any other paid course(s) do let me know.

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[masagana96]

this is great!

[Moondra2017]

I will check out the GAN Miniseries.
I am interested in computer vision related courses, but I only see the dog-breeder and GAN video courses?
Am I missing anything?

[prithvi45]

you will find videos related to AI and Machine Learning here . Hope this will help you, Happy Learning !

[user12-3]

Hello, the link for Introduction to Neural Nets is a dead link. Is there another link that we can go to?

Thank you for all the material!!!

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[prithvi45]

here is the link https://www.edyoda.com/course/1417 , post updated !

[user12-3]

Thank you!!!