Pinned Repositories
Adaboost
Adaline
Graph-Neural-Network
LabeledDataEfficiency
Highlights the goal of achieving accurate predictions with limited labeled data.
logistic-regression
percepteron
ML Model using Perceptteron
regression
SVM
trees
vanishthegradient
Tasked to coming up with a modified residual network (ResNet) architecture with the highest test accuracy on the CIFAR- 10 image classification dataset, under the constraint that your model has no more than 5 million parameters.
samipsinghal's Repositories
samipsinghal/Graph-Neural-Network
samipsinghal/Adaboost
samipsinghal/Adaline
samipsinghal/logistic-regression
samipsinghal/percepteron
ML Model using Perceptteron
samipsinghal/regression
samipsinghal/SVM
samipsinghal/trees
samipsinghal/LabeledDataEfficiency
Highlights the goal of achieving accurate predictions with limited labeled data.
samipsinghal/vanishthegradient
Tasked to coming up with a modified residual network (ResNet) architecture with the highest test accuracy on the CIFAR- 10 image classification dataset, under the constraint that your model has no more than 5 million parameters.
samipsinghal/ml-usingspark
This project demonstrates a complete machine learning pipeline using Python and Apache Spark, covering data preprocessing, exploratory data analysis, model training, and evaluation. It showcases scalable data processing, robust analysis, and diverse modeling approaches for real-world predictive tasks.
samipsinghal/MLAlgo
Python modules for different statistical algo
samipsinghal/NeuralNet
samipsinghal/welcomehome
samipsinghal/welcomehome_2024
samipsinghal/welcomehome_2025