| Module Name | Download |
|---|---|
| noc20_cs36_assigment_1 | noc20_cs36_assigment_1 |
| noc20_cs36_assigment_2 | noc20_cs36_assigment_2 |
| noc20_cs36_assigment_3 | noc20_cs36_assigment_3 |
| noc20_cs36_assigment_4 | noc20_cs36_assigment_4 |
| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Introduction to Python for Data Science | Download |
| 2 | Introduction to Python | Download |
| 3 | Introduction to Spyder - Part 1 | Download |
| 4 | Introduction to Spyder - Part 2 | Download |
| 5 | Variables and Datatypes | Download |
| 6 | Operators | Download |
| 7 | Jupyter setup | Download |
| 8 | Sequence_data_part_1 | Download |
| 9 | Sequence_data_part_2 | Download |
| 10 | Sequence_data_part_3 | Download |
| 11 | Sequence_data_part_4 | Download |
| 12 | Numpy | Download |
| 13 | Reading data | Download |
| 14 | Pandas Dataframes I | Download |
| 15 | Pandas Dataframes II | Download |
| 16 | Pandas Dataframes III | Download |
| 17 | Control structures & Functions | Download |
| 18 | Exploratory data analysis | Download |
| 19 | Data Visualization-Part I | Download |
| 20 | Data Visualization-Part II | Download |
| 21 | Dealing with missing data | Download |
| 22 | Introduction to Classification Case Study | Download |
| 23 | Case Study on Classification Part I | Download |
| 24 | Case Study on Classification Part II | Download |
| 25 | Introduction to Regression Case Study | Download |
| 26 | Case Study on Regression Part I | Download |
| 27 | Case Study on Regression Part II | Download |
| 28 | Case Study on Regression Part III | Download |
| 29 | Module : Predictive Modelling | Download |
| 30 | Linear Regression | Download |
| 31 | Model Assessment | Download |
| 32 | Diagnostics to Improve Linear Model Fit | Download |
| 33 | Cross Validation | Download |
| 34 | Classification | Download |
| 35 | Logistic Regression | Download |
| 36 | K - Nearest Neighbors (kNN) | Download |
| 37 | K - means Clustering | Download |
| 38 | Logistic Regression ( Continued ) | Download |
| 39 | Decision Trees | Download |
| 40 | Multiple Linear Regression | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Introduction to Python for Data Science | Download Verified |
| 2 | Introduction to Python | Download Verified |
| 3 | Introduction to Spyder - Part 1 | Download Verified |
| 4 | Introduction to Spyder - Part 2 | Download Verified |
| 5 | Variables and Datatypes | Download Verified |
| 6 | Operators | Download Verified |
| 7 | Jupyter setup | Download Verified |
| 8 | Sequence_data_part_1 | Download Verified |
| 9 | Sequence_data_part_2 | Download Verified |
| 10 | Sequence_data_part_3 | Download Verified |
| 11 | Sequence_data_part_4 | Download Verified |
| 12 | Numpy | Download Verified |
| 13 | Reading data | Download Verified |
| 14 | Pandas Dataframes I | Download Verified |
| 15 | Pandas Dataframes II | Download Verified |
| 16 | Pandas Dataframes III | Download Verified |
| 17 | Control structures & Functions | Download Verified |
| 18 | Exploratory data analysis | Download Verified |
| 19 | Data Visualization-Part I | Download Verified |
| 20 | Data Visualization-Part II | Download Verified |
| 21 | Dealing with missing data | Download Verified |
| 22 | Introduction to Classification Case Study | Download Verified |
| 23 | Case Study on Classification Part I | Download Verified |
| 24 | Case Study on Classification Part II | Download Verified |
| 25 | Introduction to Regression Case Study | Download Verified |
| 26 | Case Study on Regression Part I | Download Verified |
| 27 | Case Study on Regression Part II | Download Verified |
| 28 | Case Study on Regression Part III | Download Verified |
| 29 | Module : Predictive Modelling | Download Verified |
| 30 | Linear Regression | Download Verified |
| 31 | Model Assessment | Download Verified |
| 32 | Diagnostics to Improve Linear Model Fit | Download Verified |
| 33 | Cross Validation | Download Verified |
| 34 | Classification | Download Verified |
| 35 | Logistic Regression | Download Verified |
| 36 | K - Nearest Neighbors (kNN) | Download Verified |
| 37 | K - means Clustering | Download Verified |
| 38 | Logistic Regression ( Continued ) | Download Verified |
| 39 | Decision Trees | Download Verified |
| 40 | Multiple Linear Regression | Download Verified |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Download |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |