PinnedDeep LearningDeep learning is the subset of machine learning which is used for large datasets that even traditional Machine Learning algorithms fail to…Nov 23, 2020Nov 23, 2020
PinnedLinear Regression, the basic Supervised Learning AlgorithmLet’s make it easy..:)Oct 10, 2020Oct 10, 2020
PinnedMachine learning, the future of new TechnologyThe future of predicting and analyzing the dataSep 14, 2020Sep 14, 2020
ReLU Activation Function, Leaky-ReluAn activation function is a function that decides whether the nodes should be activated or not on the basis of weights and bias assigned…Nov 24, 2020Nov 24, 2020
DropOut in DEEP LEARNINGAn artificial Neural Network is a network of different inputs and hidden layers.Nov 24, 2020Nov 24, 2020
Vanishing Gradient Problem in Deep LearningArtificial Neural Network is actually not a new concept. However, it is true that its popularity is increasing now exponentially. The…Nov 23, 2020Nov 23, 2020
Confusion Matrix, a useful metrics for Classification Model in Data Science and Machine LearningConfusion Matrix is an evaluation matrix that is used to see where the model got confused, which is to see the false values where the…Oct 25, 2020Oct 25, 2020
Numpy (Numerical Python), the backbone of all Data Science and Machine LearningNumpy aka Numerical Python is the foundational base for all the data science and machine learning projects. Numpy is very similar to lists…Oct 21, 2020Oct 21, 2020
Cross-Validation in machine Learning, the way to improve the estimation of our result rather than…In machine learning, by default, we use an accuracy score to evaluate the measure of our study. It might give one accuracy result in one…Oct 20, 2020Oct 20, 2020
Linear transformations, the heart of linear algebraA linear transformation is a basic thing that everyone should know to gain insights of linear algebra. But, here is the question, what…Oct 18, 2020Oct 18, 2020
