For extensive instructor led learning
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 HousesThe 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 - https://www.edyoda.com/course/101 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/
