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Lecture 35: Handwritten Digit Recognition using Artificial Neural Network (Hindi)|MNIST Dataset

Lecture 34: Introduction to Artificial Neural Network (part 2) (Hindi)

Lecture 33: Introduction to Artificial Neural Network (Part 1) (Hindi)

Lecture 32: Towards Machine Learning- Logistic Regression on Titanic Dataset (Hindi)

Lecture 31: Data Cleaning on Titanic Data Set (Hindi)|Exploratory Data Analysis

Lecture 30: Introduction to Exploratory Data Analysis-Titanic Dataset (Hindi)

Lecture 29: Introduction to Matplotlib (Hindi)

Lecture 28: Introduction to Pandas (Part 2) (Hindi)| Data Analysis-IRIS Dataset

Lecture 27: Introduction to Pandas (Part 1) (Hindi)

Lecture 26: Introduction to Numpy (Part 2) (Hindi)

Lecture 25: Introduction to Numpy (Part 1) (Hindi)

Lecture 24: Exception Handling In Python (Hindi)

Lecture 23: Understanding File Write Functions: write(), writelines(), seek() (Hindi)

Rules of inference: Tricks and Examples |Discrete Mathematics

Rules of Inference |Discrete Mathematics| Propositional Logic

Lecture 22: Understanding Python File Read Functions: open(), read(), readline(s)() (Hindi)

Lecture 21: Recursion in Python (Hindi)

Lecture 20: User defined Python Functions (Hindi)