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Beginner 0(0 Ratings) 2 Students enrolled English
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Last updated Tue, 13-Jun-2023
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Course overview
Curriculum for this course
50 Lessons 07:37:15 Hours
Introduction
1 Lessons 00:03:06 Hours
  • Introduction to this course
    00:03:06
Predict Fare of Airlines Tickets using Machine Learning
29 Lessons 05:28:09 Hours
  • Introduction to Business Problem & Dataset
    00:01:24
  • Datasets & Resources
    .
  • Perform Label Encoding on data
    00:14:26
  • Extract Derived Features from Data
    00:10:59
  • Perform Data Pre-processing
    00:08:04
  • Understanding Data & Data-preprocessing
    00:11:06
  • Handle Categorical Data & Feature Encoding
    00:12:09
  • How to handle Outliers in Data
    00:07:53
  • Select best Features using Feature Selection Technique
    00:04:57
  • Intuition Behind Random Forest Part-1
    00:20:39
  • Intuition Behind Random Forest Part-2
    00:11:38
  • Applying Random Forest on Data & Automate predictions
    00:10:40
  • Intuition Behind Decision Tree- Part 1
    00:10:02
  • Intuition Behind Decision Tree- Part 2
    00:17:29
  • Intuition Behind Decision Tree- Part 3
    00:14:58
  • Intuition Behind Decision Tree- Part 4
    00:17:56
  • Intuition Behind Decision Tree- Part 5
    00:15:27
  • Intuition Behind Decision Tree- Part 6
    00:10:41
  • Intuition Behind Linear Regression- Part 1
    00:11:33
  • Intuition Behind Linear Regression- Part 2
    00:09:50
  • Intuition Behind Linear Regression- Part 3
    00:20:16
  • Intuition Behind KNN- Part 1
    00:12:34
  • Intuition Behind KNN- Part 2
    00:08:18
  • Intuition Behind KNN- Part 3
    00:07:28
  • Intuition Behind KNN- Part 4
    00:07:56
  • Play with multiple Algorithms & dumping your model
    00:07:56
  • Intuition Behind Cross Validation- Part 1
    00:10:45
  • Intuition Behind Cross Validation- Part 2
    00:13:01
  • How to Cross Validate your model
    00:18:04
Predict Password Strength using Natural Language Processing
10 Lessons 01:14:38 Hours
  • Introduction to Business Problem & Dataset.mp4
    00:01:14
  • Datasets & Resources.
    .
  • Exploring your data
    00:08:25
  • Intuition behind TF-IDF --part 1
    00:08:30
  • Intuition behind TF-IDF --part 2
    00:08:15
  • Apply TF-IDF on data
    00:08:42
  • Intuition behind Logistic Regression --part 1
    00:13:52
  • Intuition behind Logistic Regression --part 2
    00:14:42
  • Apply Logistic Regression on Data
    00:07:06
  • Checking Accuracy of Model
    00:03:52
Predict Stock Prices using Time Series Analysis
10 Lessons 00:51:22 Hours
  • Introduction to Business Problem & Dataset
    00:01:30
  • Datasets & Resources
    .
  • Analyzing Time Series data
    00:05:17
  • Data preparation for Time Series Forecasting
    00:08:14
  • Intuition behind ARIMA --part 1
    00:04:41
  • Intuition behind MA model --ARIMA part 2
    00:12:13
  • Intuition behind AR model -- ARIMA part 3.mp4
    00:06:43
  • Intuition behind Integrating -- ARIMA part 4
    00:00:57
  • Apply Auto-Arima on data.mp4
    00:08:15
  • Evaluating Time Series Model
    00:03:32
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