19:39

Lecture 2 : Machine Learning explained | Machine learning in relation to other fields

06:30

Lecture 1: Need for Machine Learning , Knowledge Pyramid | BCS602 | BDS602| BCM601| VTU

30:38

Module 4: Organizing files | BPLCK105B | 205B

12:36

Module 5: Important questions with answers | BPLCK105B/205B | classes and objects

11:00

Module 4: Important Questions with answers | BPLCK105B|BPLCK205B

15:05

DeepSeek : DeepSeek models explained | ChatGPT vs DeepSeek

15:57

Module 3: BPLCK105B BPLCK205B Solutions to important Questions

05:16

Previous year QPs : Introduction to Python Programming|BPLCK105B|BPLCK205B|22PLC15B

50:41

Module 3: Quick revision – Reading and Writing Files

38:12

Module 3: Manipulating Strings | BPLCK105B| BPLCK205B | VTU

38:12

Module 3: Quick recap of String Manipulation | BPLCK105B | BPLCK205B

19:58

Module 5 | BDS306B | Important questions with answers

23:41

Lecture 3: Machine learning concept

30:39

Lecture 2: Machine learning key concepts for all

43:10

Module 3: Models QP and PyQPs with answers | BDS306B

10:33

Lecture1: AI vs ML vs DL vs Generative AI

04:00

Lecture 34:Important Python programs using looping statement| Module 2|BDS306B

34:43

Lecture 33: Looping statement |Module 2 | BDS306B|while|for |nested|jump|break|continue|pass

26:40

Lecture 32: Decision structures in Python |Module 2 | BDS306B |if|if-elif|inlineif|if-else

20:26

Lecture 32: Module 5 | Classes & Functions, Pure functions, Modifier|BPLCK105B|BPLCK205B

20:13

Lecture 31:Module5| Python Class & Objects| mutable objects| aliasing | Copy module|__str__ method

18:55

Lecture 30: Module 5| Python Program to display Centre point & update dimensions of a rectangle

35:17

Lecture 29:Module5| Classes & Objects in Python-Part 1| BPCLK105B|BPCLK205B

12:30

Lecture 31: Module 1 | BDS306B | Part4| String formatting||format | %f

23:30

Lecture 30: Module1|BDS306B-Part3

27:22

Lecture 29:Module1- Part 2| BDS306B

52:35

Lecture 28:Module1- Part1: BDS306B-Quick revision

17:49

Module 1: Discussion of Model QP with Solutions | BDS306B | VTU

20:16

BDS306B: Important questions for BDS306B with Solutions for Module 5 from Model QP

21:10

Lecture 28: Python Pandas : Data Aggregation

06:03

Previous year QPs: BDS306B Python Programming for Data Science

08:34

Lecture 27: Python Pandas: Concatenate data frames , series and NumPy arrays

12:13

Lecture 26: Merge data frames in Pandas

12:58

Lecture 25:Python Pickle—Python Object Serialization

18:16

Lecture 24: Python: Reading Data from XML and convert to DataFrame

26:02

Model Question Paper with solutions: Module 4 |VTU |BDS306B |Python Programming for Data Science

15:09

Lecture 23:Python Pandas:JSON response methods

22:30

Lecture22:Python Pandas:Read and write from JSON | BDS306B | JSON data | JSON vs XML

04:41

Lecture 15:Module5: The pandas : Reading and Writing data (BDS306B)

06:35

Lecture21:Python Pandas: Reading & Writing data to Microsoft excel Files

13:13

Lecture20:Python Pandas: Web scraping a table from a webpage using HTML /Read data from HTML file

20:17

Lecture19:Python Pandas: Create HTML page using dataframes

06:40

Lecture 18: Python Pandas: Write data in CSV files

07:17

Lecture 17: Reading data from Regular expression (txt) files into Python code

09:17

Lecture 16: Python Pandas: Reading Data in CSV or Text Files

19:57

Lecture 14: Pandas Series - Filtering values,Math operations, evaluating values, NaN

16:31

Lecture 13 - Python Pandas Series: Declaring series, selecting elements, create series from NumPy

10:06

Pandas Tutorials-Python (Python for Data Science)

20:16

Lecture11: Python NumPy:Reading and Writing Array Data on Files

15:23

Lecture10: Python NumPy : Create and work on Structured arrays using Jupyter Notebook (BDS306B)

19:14

Lecture9:Array Manipulation in Python: Joining arrays, Splitting arrays VTU , BDS306B

18:16

Lecture8:The NumPy Library: Conditions & Boolean array, shape(),reshape(),ravel(),transpose()

13:51

Lecture7: Numpy Library: Iteration of array using for loop and apply_along_axis function

22:13

Lecture6: The NumPy Library: Indexing and Slicing in arrays using NumPy

20:07

Lecture5: NumPy math operations Arithmetic , Increment, Decrement,Matrix product,Ufunc(), Aggregate

36:59

Lecture3:Python for Data science:NumPy, Ndarray,creation of array, Dtype,Data type(#BDS306B)(#VTU)

10:37

Lecture4:Numpy functions arange(), Linspace() &Random() #numpy #vtu #BDS306B

07:25

Lecture2: Downloading and Installing Anaconda (BDS306B)

12:15

Lecture1:Introduction to Python for Data Science (VTU)(BDS306B)

12:14

Module2: Important Q & A | Introduction to python programming BPCLK105B BPCLK205B