Learn · Introduction to Python and Petroleum Data Analytics
Lecture 53 of 60Week 11 | Supervised Machine Learning Algorithm
Lecture 53 | Supervised Machine Learning Algorithm - III
Prof. Archana · IIT-ISM Dhanbad
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- From
- Introduction to Python and Petroleum Data Analytics, IIT-ISM Dhanbad (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge. Coordinated by IIT Kharagpur.
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All the lectures
- Lecture 1 | Overview
- Lecture 2 | Significance of Python and Petroleum Data Analytics
- Lecture 3 | Significance of Python and Petroleum Data Analytics
- Lecture 4 | Significance of Python and Petroleum Data Analytics
- Lecture 5 | Significance of Python and Petroleum Data Analytics
- Lecture 6 | Programming Fundamentals - 1
- Lecture 7 | Programming Fundamentals - 2
- Lecture 8 | Programming Fundamentals - 3
- Lecture 9 | Programming Fundamentals - 4
- Lecture 10 | Programming Fundamentals - 5
- Lecture 11 | Implementation of Python Libraries - 1
- Lecture 12 | Implementation of Python Libraries - 2
- Lecture 13 | Implementation of Python Libraries - 3
- Lecture 14 | Implementation of Python Libraries - 4
- Lecture 15 | Implementation of Python Libraries - 5
- Lecture 16 | Implementation of Python Libraries - NUMPY (I)
- Lecture 17 | Implementation of Python Libraries - NUMPY (II)
- Lecture 18 | Implementation of Python Libraries - NUMPY (III)
- Lecture 19 | Implementation of Python Libraries - Matplotlib (I)
- Lecture 20 | Implementation of Python Libraries - Matplotlib (II)
- Lecture 21 | Data Wrangling and Preprocessing (I)
- Lecture 22 | Data Wrangling and Preprocessing (II)
- Lecture 23 | Data Wrangling and Preprocessing (III)
- Lecture 24 | Data Wrangling and Preprocessing (IV)
- Lecture 25 | Data Wrangling and Preprocessing (V)
- Lecture 26 | Data Wrangling and Preprocessing (VI)
- Lecture 27 | Data Wrangling and Preprocessing (VII)
- Lecture 28 | Data Wrangling and Preprocessing (VIII)
- Lecture 29 | Data Wrangling and Preprocessing (IX)
- Lecture 30 | Data Wrangling and Preprocessing (X)
- Lecture 31 | Data Manipulation - I
- Lecture 32 | Data Manipulation - II
- Lecture 33 | Data Manipulation - III
- Lecture 34 | Data Manipulation - IV
- Lecture 35 | Data Manipulation - V
- Lecture 36 | Handling Missing Values-CCA
- Lecture 37 | Handling Missing Values-Univariate Analysis
- Lecture 38 | Handling Missing Values-Multivariate Analysis
- Lecture 39 | Machine Learning- Supervised - I
- Lecture 40 | Machine Learning- Supervised - II
- Lecture 41 | Supervised Machine Learning - I
- Lecture 42 | Supervised Machine Learning - II
- Lecture 43 | Supervised Machine Learning - III
- Lecture 44 | Supervised Machine Learning - IV
- Lecture 45 | Supervised Machine Learning - V
- Lecture 46 | Supervised Machine Learning - VI
- Lecture 47 | Supervised Machine Learning - VII
- Lecture 48 | Supervised Machine Learning - VIII
- Lecture 49 | Supervised Machine Learning - IX
- Lecture 50 | Supervised Machine Learning - X
- Lecture 51 | Supervised Machine Learning Algorithm - I
- Lecture 52 | Supervised Machine Learning Algorithm - II
- Lecture 53 | Supervised Machine Learning Algorithm - III
- Lecture 54 | Supervised Machine Learning Algorithm - IV
- Lecture 55 | Supervised Machine Learning Algorithm - V
- Lecture 56 | Supervised & Unsupervised Machine Learning
- Lecture 57 | Supervised Machine Learning
- Lecture 58 | Unsupervised Machine Learning
- Lecture 59 | Supervised Machine Learning
- Lecture 60 | Supervised Machine Learning