NOC:Business Analytics and Text Mining Modeling Using Python (USB)
Media Storage Type : 32 GB USB Stick
NPTEL Subject Matter Expert : Dr. Gaurav Dixit
NPTEL Co-ordinating Institute : IIT Roorkee
NPTEL Lecture Count : 40
NPTEL Course Size : 5.8 GB
NPTEL PDF Text Transcription : Available and Included
NPTEL Subtitle Transcription : Available and Included (SRT)
Lecture Titles:
Lecture 1 - Introduction - Part I
Lecture 2 - Introduction - Part II
Lecture 3 - Introduction - Part III
Lecture 4 - Python for Analytics - Part I
Lecture 5 - Python for Analytics - Part II
Lecture 6 - Python for Analytics - Part III
Lecture 7 - Python for Analytics - Part IV
Lecture 8 - Python for Analytics - Part V
Lecture 9 - Built in Capabilities of Python - Part I
Lecture 10 - Built in Capabilities of Python - Part II
Lecture 11 - Built in Capabilities of Python - Part III
Lecture 12 - Built in Capabilities of Python - Part IV
Lecture 13 - Built in Capabilities of Python - Part V
Lecture 14 - Built in Capabilities of Python - Part VI
Lecture 15 - Built in Capabilities of Python - Part VII
Lecture 16 - Built in Capabilities of Python - Part VIII
Lecture 17 - Built in Capabilities of Python - Part IX
Lecture 18 - Built in Capabilities of Python - Part X
Lecture 19 - Numerical Python - Part I
Lecture 20 - Numerical Python - Part II
Lecture 21 - Numerical Python - Part III
Lecture 22 - Numerical Python - Part IV
Lecture 23 - Numerical Python - Part V
Lecture 24 - Numerical Python - Part VI
Lecture 25 - Numerical Python - Part VII
Lecture 26 - Database Using Python Pandas - Part I
Lecture 27 - Database Using Python Pandas - Part II
Lecture 28 - Database Using Python Pandas - Part III
Lecture 29 - Database Using Python Pandas - Part IV
Lecture 30 - Python Working with Data - Part I
Lecture 31 - Python Working with Data - Part II
Lecture 32 - Python Working with Data - Part III
Lecture 33 - String and Text Processing - Part I
Lecture 34 - String and Text Processing - Part II
Lecture 35 - Data Visualization Using Python
Lecture 36 - Text Collection and Transformation - Part I
Lecture 37 - Text Collection and Transformation - Part II
Lecture 38 - Text Mining and Modeling - Part I
Lecture 39 - Text Mining and Modeling - Part II
Lecture 40 - Text Mining and Modeling - Part III