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In person training - https://www.edyoda.com/program/data-scientist-program
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
The Free courses available on EdYoda
Python - https://www.edyoda.com/course/98
Angular - https://www.edyoda.com/course/1227
Machine Learning - https://www.edyoda.com/course/1416
Dog Breed Prediction Project - https://www.edyoda.com/course/1336
AI Project - Web application for Object Identification - https://www.edyoda.com/course/1185
Numpy - https://www.edyoda.com/course/1263
Tensorflow - https://www.edyoda.com/course/99
Amazon Web Services - https://www.edyoda.com/course/1410
DevOps - https://www.edyoda.com/course/100
Android -
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https://www.edyoda.com/course/1173
Deep Reinforcement Learning - https://www.edyoda.com/course/1421
Knowledge Graphs, Deep Learning, Reasoning - https://www.edyoda.com/course/1420
Natural Language Processing - https://www.edyoda.com/course/1419
GAN Miniseries - https://www.edyoda.com/course/1418
Implementing Java Api's work - https://www.edyoda.com/channel/2398/
Introduction to Neural Nets - https://www.edyoda.com/channel/2500/
Videos from deep cognition studio - https://www.edyoda.com/channel/2380/
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