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Lecture 24 of 47

Extract Derived Features from Data

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Course Content

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Section 1: Introduction to this course1 videos

Intro to this course

9m
Section 2: Project 1-- Predict Fare of Airlines Tickets using Machine Learning28 videos

Introduction to Business Problem & Dataset

10m

Intuition Behind Random Forest Part-1

35m

Intuition Behind Random Forest Part-2

23m

Applying Random Forest on Data & Automate predictions

34m

Intuition Behind Decision Tree- Part 1

18m

Intuition Behind Decision Tree- Part 2

29m

Intuition Behind Decision Tree- Part 3

28m

Intuition Behind Decision Tree- Part 4

33m

Intuition Behind Decision Tree- Part 5

28m

Intuition Behind Decision Tree- Part 6

18m

Intuition Behind Linear Regression- Part 1

19m

Intuition Behind Linear Regression- Part 2

20m

Intuition Behind Linear Regression- Part 3

37m

Intuition Behind KNN- Part 1

19m

Intuition Behind KNN- Part 2

15m

Intuition Behind KNN- Part 3

13m

Intuition Behind KNN- Part 4

17m

Play with multiple Algorithms & dumping your model

27m

Intuition Behind Cross Validation- Part 1

19m

Intuition Behind Cross Validation- Part 2

31m

How to Cross Validate your model

56m

Understanding Data & data-preprocessing

32m

Extract Derived Features from Data

37mNow Playing

Perform Data Pre-processing

24m

Handle Categorical Data & Feature Encoding

39m

Perform Label Encoding on data

49m

How to handle Outliers in Data

24m

Select best Features using Feature Selection Technique

17m
Section 3: Project 2----- Predict Password Strength using Natural Language Processing9 videos

Introduction to Business Problem & Dataset

6m

Checking Accuracy of Model

13m

Exploring your data

26m

Intuition behind TF-IDF --part 1

11m

Intuition behind TF-IDF --part 2

16m

Apply TF-IDF on data

28m

Intuition behind Logistic Regression --part 1

26m

Intuition behind Logistic Regression --part 2

20m

Apply Logistic Regression on Data

24m
Section 4: Project 3-- Predict Stock Prices using Time Series Analysis9 videos

Introduction to Business Problem & Dataset

10m

Evaluating Time Series Model

13m

Analyzing Time Series data

18m

Data preparation for Time Series Forecasting

30m

Intuition behind ARIMA --part 1

9m

Intuition behind MA model --ARIMA part 2

22m

Intuition behind AR model -- ARIMA part 3

12m

Intuition behind Integrating -- ARIMA part 4

12m

Apply Auto-Arima on data

37m