In this channel, Sanchit Sir will provide complete Playlists for various computer science subjects in Hindi for Semester Exams and Various Competitive exams like Gate, ISRO, NIC, RPSC, etc.


11- All About Number Systems: Binary, Decimal, Octal, and Hexadecimal
52:17
11- All About Number Systems: Binary, Decimal, Octal, and Hexadecimal
10 - All About Registers: Types, Functions & Applications | Digital Electronics
32:54
10 - All About Registers: Types, Functions & Applications | Digital Electronics
9 - All About Counters: Synchronous, Asynchronous & More | Digital Electronics
45:41
9 - All About Counters: Synchronous, Asynchronous & More | Digital Electronics
8 - All About Flip-Flops: SR Flip-Flop, JK Flip-Flops, D Flip-Flops, T Flip-Flop Explained
1:19:32
8 - All About Flip-Flops: SR Flip-Flop, JK Flip-Flops, D Flip-Flops, T Flip-Flop Explained
7 - All About Multiplexer | DeMultiplexer | Decoder | Encoder | Priority Encoder
1:48:32
7 - All About Multiplexer | DeMultiplexer | Decoder | Encoder | Priority Encoder
6 - All About Half Adder | Full Adder | Ripple Adder | Parellel Adder | Look Ahead Carry Adder
1:21:37
6 - All About Half Adder | Full Adder | Ripple Adder | Parellel Adder | Look Ahead Carry Adder
5- NAND NOR Universal Gate Complete Discussion in Hindi Functionally Complete Function
41:43
5- NAND NOR Universal Gate Complete Discussion in Hindi Functionally Complete Function
4 - K-Map complete discussion in hindiSimplification of Boolean Expression
1:38:23
4 - K-Map complete discussion in hindiSimplification of Boolean Expression
3- Complete Boolean Expression SOP POS Complementation Dual, Self-Dual for GATE Exam in Hindi
1:17:17
3- Complete Boolean Expression SOP POS Complementation Dual, Self-Dual for GATE Exam in Hindi
2- All About Logic Gates for GATE EXAM in Hindi
1:13:02
2- All About Logic Gates for GATE EXAM in Hindi
2.7 Support Vector Machine (SVM) | Linear Vs Non-Liner | Polynomial Kernel | Gaussian (RBF) Kernel
9:27
2.7 Support Vector Machine (SVM) | Linear Vs Non-Liner | Polynomial Kernel | Gaussian (RBF) Kernel
2.6 Bayesian Belief Network with solved Example in Machine Learning
8:20
2.6 Bayesian Belief Network with solved Example in Machine Learning
2.5 Naive Bayes Classifier with Example in Machine Learning
10:35
2.5 Naive Bayes Classifier with Example in Machine Learning
2.4 Bayes Optimal Classifier with Example in Machine Learning
12:21
2.4 Bayes Optimal Classifier with Example in Machine Learning
2.3 Concept Learning in Machine Learning with Simple Example
8:35
2.3 Concept Learning in Machine Learning with Simple Example
1-Introduction of Digital Electronics for Gate Exam
29:24
1-Introduction of Digital Electronics for Gate Exam
2.2 Bayes' Theorem Simplest Explaination with example | Total Probability | Proof
8:48
2.2 Bayes' Theorem Simplest Explaination with example | Total Probability | Proof
2.1 Regression | Simple Linear Regression | Multiple Linear Regression | Logistic Regression
10:33
2.1 Regression | Simple Linear Regression | Multiple Linear Regression | Logistic Regression
1.5 Issues | Challenges | Problems in Machine Learning
9:39
1.5 Issues | Challenges | Problems in Machine Learning
1.4 Machine Learning Approaches - ANN, Clustering, Classification, Reinforcement Learning, SVM
30:32
1.4 Machine Learning Approaches - ANN, Clustering, Classification, Reinforcement Learning, SVM
1.3 Machine Learning - Introduction
17:00
1.3 Machine Learning - Introduction
1.2 Overview on the history of Machine Learning
8:47
1.2 Overview on the history of Machine Learning
3.6 Locally Weighted Regression with Example in Machine Learning
10:29
3.6 Locally Weighted Regression with Example in Machine Learning
3.5 Instance-Based Learning | K Nearest Neighbour Classification | KNN with Example
12:35
3.5 Instance-Based Learning | K Nearest Neighbour Classification | KNN with Example
3.4 Inductive Bias in Machine Learning with Simple Example
5:29
3.4 Inductive Bias in Machine Learning with Simple Example
3.3 Decision Tree Learning Algorithm (ID3, C4.5, CART)
7:53
3.3 Decision Tree Learning Algorithm (ID3, C4.5, CART)
3.2 What is Entropy | Entropy for Each Subset | Information Gain | Decision Tree Designing
23:11
3.2 What is Entropy | Entropy for Each Subset | Information Gain | Decision Tree Designing
3.1 What is Decision Tree with Simple Examples in Machine Learning
13:30
3.1 What is Decision Tree with Simple Examples in Machine Learning
4.8 Convolutional Neural Networks in Machine Learning with examples convolutional layers stride
10:30
4.8 Convolutional Neural Networks in Machine Learning with examples convolutional layers stride
4.7 What is Deep Learning with Advantage, Disadvantage and Applications
9:09
4.7 What is Deep Learning with Advantage, Disadvantage and Applications