Pinned Repositories
batch-gradient-descent-from-scratch-for-multiple-linear-regression
batch gradient descent from scratch for multiple linear regression
Data_understanding_and_EDA_titanic
Deep_Learning_CNN
Deep_Learning_RNN
DL_04_what_is_Perceptron
Hello, this is day_04 of Deep Learning journey, and this contains what is Perceptron?
DL_05_perceptron_from_scratch
perceptron_trick_from_scratch
pandas-on-IPL-ds
ipl analysis with use of pandas
pandas-profiling
Tensors_ML
working-with-SQL-in-Pandas
working with SQL in Pandas
Manav54321's Repositories
Manav54321/batch-gradient-descent-from-scratch-for-multiple-linear-regression
batch gradient descent from scratch for multiple linear regression
Manav54321/Data_understanding_and_EDA_titanic
Manav54321/Deep_Learning_CNN
Manav54321/Deep_Learning_RNN
Manav54321/DL_04_what_is_Perceptron
Hello, this is day_04 of Deep Learning journey, and this contains what is Perceptron?
Manav54321/DL_05_perceptron_from_scratch
perceptron_trick_from_scratch
Manav54321/FarmAI
Manav54321/K-means_clustering
K-means clustering is a widely used unsupervised learning algorithm that partitions a set of objects into a predetermined number of clusters. The goal is to minimize the sum of the squared distances between the objects and their assigned cluster mean
Manav54321/pandas-on-IPL-ds
ipl analysis with use of pandas
Manav54321/pandas-profiling
Manav54321/working-with-SQL-in-Pandas
working with SQL in Pandas
Manav54321/DL_06_perceptron_hinge_loss_fxn_gradient_descent
perceptron_hinge_loss_fxn_gradient_descent
Manav54321/DL_11_Customer-Churn-Prediction-using-ANN
Customer Churn Prediction using ANN
Manav54321/DL_12_Handwritten-Digit-Classification-using-ANN
Handwritten Digit Classification using ANN
Manav54321/DL_13_Graduate-Admission-Prediction-using-ANN
https://www.kaggle.com/code/manav1703/gre-admission-prediction
Manav54321/DL_19_Gradient_Descent_in_NN
Batch, Stochastic, and Mini-Batch methods
Manav54321/DL_20_vanishing_gradient
Vanishing and Exploding Gradient Problems in Artificial Neural Networks (ANNs) with practical code examples. Understand the challenges and solutions for training deep networks effectively. Improve your grasp on these important concepts in neural network training.
Manav54321/DL_22_early_stopping
Early stopping is a method in Deep Learning that allows you to specify an arbitrarily large number of training epochs and stop training once the model performance stops improving on the validation dataset.
Manav54321/DL_23_Data_scaling
Data scaling is a recommended pre-processing step when working with deep learning neural networks. Data scaling can be achieved by normalizing or standardizing real-valued input and output variables.
Manav54321/DL_25_Dropout
Explore the power of Dropout Layers with code examples for both Regression and Classification tasks.
Manav54321/DL_26_Regularization
Regularization is a set of techniques that can prevent overfitting in neural networks and thus improve the accuracy of a Deep Learning model when facing completely new data from the problem domain.
Manav54321/DL_29_weights-initialization
I'll guide you through weight initialization techniques in neural networks and highlight what NOT to do. From common mistakes to misconceptions, I'll help you navigate the dos and don'ts in optimizing your network's performance.
Manav54321/DL_30_Xavier-Glorat-and-He-Normal-and-Uniform-for-weights-initialization
1. Weight initialization techniques in neural networks 2. Xavier initialization in neural network 3. He initialization in neural network
Manav54321/DL_31_Batch_Normalization
How Batch Normalization transforms the internal workings of neural networks by normalizing inputs within each mini-batch. By maintaining stable activations throughout the training process, Batch Normalization improves convergence speed and aids in tackling the vanishing/exploding gradient problem.
Manav54321/DL_39_Keras_Tuner-Hyperparameter-Tuning-a-Neural-Network-
Manav54321/fit_transform-vs-transform
Manav54321/Simple_Linear_Regression_FromScratch
Manav54321/Transaction-Fraud-Detection-using-ML
Manav54321/value_maven
A laptop price predictor, using Ensemble techniques
Manav54321/worldbank_populations
YouTube-link