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Demo Class
Applied Data Science and Machine Learning | Student Review
Applied Data Science and Machine Learning | Python data structures Part 1
Applied Data Science and Machine Learning | Introduction to machine learning
Applied Data Science and Machine Learning | Neural Network coding
Applied Data Science and Machine Learning | Final Project Part 1
Week 1
Class 1| Basic Programming
Week 2
Class 2| Python Basics with Practical Examples
Class 3| Python Review Part 1
Class 4| Python Review Part 2
Class 4| Python Review Part 2
Week 3
Class 6| Python Data Structures Part 1
Class 7| Python Data Structures Part 2
Class 8| Introduction to Numpy with Examples
Class 9| Numpy Size, Shape and Arrange
Class 10| Numpy Ones, Zeros and Diagonal
Class 11| Numpy Index
Class 12| Numpy Slicing
Class 13| Numpy Multiply
Class 14| Numpy Matrix Multiplication
Class 15| More on Numpy
Class 16| Numpy Mean and Sum
Class 17| Numpy Maximum and Minimum
Class 18| Numpy Print Element
Week 4
class 19| Data Science Pipeline
Class 20| Pandas
Class 21| Web Scrapping
Week 5
Class 22| Visualization with Matplotlib Part 1
Class 23| Visualization with Matplotlib Part 2
Class 24| Visualization with Seaborn
Class 25| Data Analysis Challenge Declaration
Week 6
Class 26| Data Visualization with Tableau Part 1
Class 27| Regular Expression Part 1
Week 7
Class 28| Introduction to Machine Learning
Class 29| Statistics Overview
Week 8
Class 30| linear regression part 1
Class 31| linear regression part 2
Week 9
Class 32| Logistic regression part 1
Class 33| Logistic regression part 2
Week 10
Class 34| Support vector machine part 1
Class 35| Support vector machine part 2
Week 11
Class 36| Naive Bayes Classifier part 1
Class 37| Naive Bayes classifier part 2
Week 12
Class 38| Decision Tree part 1
Class 39| Decision Tree part 2
Week 13
Class 40| Ensemble learning part 1
Class 41| Ensemble learning part 2
Class 42| Ensemble learning part 3
Week 14
Class 43| Full workflow
Week 15
Class 44 Project deployment
Class 45| Project part 1
Class 46| Project part 2
Class 47| Project part 3
Class 48| Project part 4
Class 49| Project part 5
Week 16
Class 50| Neural Network intro
Class 51| Neural Network forward propagation and activation function
Week 17
Class 52| Neural Network back propagation part 1
Class 53| Neural Network and back propagation and gradient decent part 2
Class 54| Neural Network and chain rules of back propagation part 3
Class 55 Neural Network and back propagation part 4
Week 18
Class 56| Neural Network coding
Week 19
Class 57| Convolutional Neural Network
Week 20
Class 58| Project Part 1
Class 59| Project Part 2
Week 21
Class 60| Project Deployment in AWS Cloud
Class 61| Interview Question Solution 1
Class 62| Interview Question Solution 2
Resource File
All Files & Code part link
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Facebook Support Group
Facebook Support Group Link
Course Review Form
Preview - Applied Data Science & Machine Learning
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