Lecture 2 of 60Week 1 :
Lecture 02 : Introduction Part 02
Prof. Debapratim Pandit · IIT Kharagpur
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- Urban Informatics, IIT Kharagpur (at NPTEL)
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- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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All the lectures
- Lecture 01 : Introduction Part 01
- Lecture 02 : Introduction Part 02
- Lecture 03 : Data Driven Governance and Digital Participation Part 1
- Lecture 04 : Data Driven Governance and Digital Participation Part 2
- Lecture 05 : Open Data Platforms
- Lecture 06 : Types of Data and Data format
- Lecture 07 : Types of Database
- Lecture 08 : Database Normalization Part 1
- Lecture 09 : Database Normalization Part 2
- Lecture 10 : NoSQL & Non-Relational Databases
- Lecture 11 : Querying Databases
- Lecture 12 : SQL Part 1
- Lecture 13 : SQL Part 2
- Lecture 14 : SQL Part 3
- Lecture 15 : Data Access and APIs
- Lecture 16 : Introduction to Python
- Lecture 17 : Python Part 1
- Lecture 18 : Python Part 2
- Lecture 19 : Object Oriented Programming
- Lecture 20 : Classes and Instances in Python
- Lecture 21 : Data Access and Manipulation Part 1
- Lecture 22 : Data Access and Manipulation Part 2
- Lecture 23 : Data Access and Manipulation Part 3
- Lecture 24 : Data Analysis and Visualization Part 1
- Lecture 25 : Data Analysis and Visualization Part 2
- Lecture 26 : Machine Learning Basics
- Lecture 27 : Foundational Theories
- Lecture 28 : Machine Learning Typology
- Lecture 29 : Data Analysis and Visualization Part 3
- Lecture 30 : Data Analysis and Visualization Part 4
- Lecture 31 : Introduction to Supervised Learning and Linear Regression
- Lecture 32 : MI Workflow via Linear Regression in Python
- Lecture 33 : Decision Tree Part 1
- Lecture 34 : Decision Tree Part 2
- Lecture 35 : Decision Tree Part 3
- Lecture 36 : Binary Logistic Regression
- Lecture 37 : Multinomial Logistic Regression
- Lecture 38 : k-Nearest Neighbours(k-NN)
- Lecture 39 : Support Vector Machine(SVM)
- Lecture 40 : Semi-Supervised Learning
- Lecture 41 : Clustering Part 1
- Lecture 42 : Clustering Part 2
- Lecture 43 : Clustering Part 3
- Lecture 44 : Association Rule Learning
- Lecture 45 : Dimensionality reduction and feature extraction
- Lecture 46 : Neural Networks
- Lecture 47 : Deep Learning
- Lecture 48 : Convolutional Neural Networks(CNNs)
- Lecture 49 : Recurrent Neural Networks(RNN) & Long Short-Term Memory (LSTM)
- Lecture 50 : Reinforcement Learning
- Lecture 51 : Introduction to IoT
- Lecture 52 : IoT System Architecture Part 1
- Lecture 53 : IoT System Architecture Part 2
- Lecture 54 : Building with Arduino Part 1
- Lecture 55 : Building with Arduino Part 2
- Lecture 56 : IoT Systems
- Lecture 57 : Querying with GIS
- Lecture 58 : Geospatial Analysis Part 1
- Lecture 59 : Geospatial Analysis Part 2
- Lecture 60 : Geospatial Analysis Part 3