Gagan Panwar
Hey there, I hope you are doing good.
So, My name is Gagan and I am a programmer, gamer, photographer(Not that good) and I also love to ride bikes(Pretty good at that),
I love all of these equally.
On this channel you will see videos related to programming and my main aim is to provide content which is not easily available like machine learning algorithms from scratch with it's maths and everything and in such a way that it feels pretty easy.
Although my main domain is Python and machine learning, I also works on different technologies as well.
I hope you'll have a good day.
Handwritten Digits Recognition using MLP from scratch (Machine Learning)(Deep Learning)
Folium Web based Maps Python (Earthquake Visualization)
Coding Neural Network from Scratch Part 6-Training Our MLP (Machine Learning-Deep Learning)
Coding Neural Network from Scratch Part 5-Predict and Loss Function (Machine Learning-Deep Learning)
Coding Neural Network from Scratch Part 4- Backpropagation Function (Machine Learning-Deep Learning)
Coding Neural Network from Scratch Part 3- Softmax Function (Machine Learning-Deep Learning)
Coding Neural Network from Scratch Part 2-Forward Propagation (Machine Learning-Deep Learning)
Coding Neural Network from Scratch Part 1 (weights initialization) (Machine Learning-Deep Learning)
Neural Network from Scratch - Updating Formulae MLP (Machine Learning-Deep Learning)
Neural Network from Scratch - Batch vs Stochastic Gradient Descent (Machine Learning-Deep Learning)
Neural Network from Scratch - Representation in Matrix Notation (Machine Learning-Deep Learning)
Backpropagation In MLP - Changing Loss To Cross Entropy - Part 3 (Machine Learning-Deep Learning)
Backpropagation In MLP - Updating Weights And Bias- Part 2 (Machine Learning-Deep Learning)
Backpropagation In MLP - Updating Weights And Bias- Part 1 (Machine Learning-Deep Learning)
Introduction To Multi Layer Perceptron - Understanding The Concepts (Machine Learning-Deep Learning)
Types of Neural Network- Difference Between ANN, RNN & CNN - (Machine Learning) (Deep Learning)
Introduction To Neural Network - Why Neural Networks? - (Machine Learning) (Deep Learning)
Image Segmentation Using K-Means Part-2 (Basic Project) - (Machine Learning)
Image Segmentation Using K-Means Part-1 (Basic Project) - (Machine Learning)
Understanding & Implementing DBSCAN - (Machine Learning)
Understanding & Implementing K-Means++ (Machine Learning)
Implementing K-Means From Scratch (PART-2)- (Machine Learning)
Implementing K-Means From Scratch (PART-1)- (Machine Learning)
Introduction To K-Means - (Machine Learning)
How To Classify Non-Linear Data - (Machine Learning)
Implementing SVM from Scratch Part 4 - (Machine Learning)
Implementing SVM from Scratch Part 3- (Machine Learning)
Implementing SVM from Scratch Part 2- (Machine Learning)
Implementing SVM from Scratch Part 1- (Machine Learning)
Understanding Support Vector Machines From Scratch Part 3 - (Machine Learning)