Auto-tuning Data Science Pipelines
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Updated
Jul 3, 2018 - HTML
Auto-tuning Data Science Pipelines
The jupyter notebooks of the deep learning specialization by deeplearning.ai
[Coursera] Deep Learning Specialization on Coursera
Coursera - Deep Learning Specialization - deeplearning.ai
Determine concrete compressive strength
predict where the patient will be discharged to before surgery
Gauging how Support Vector Machine Algorithm behaves with Hyperparameter Tuning
Image Classifier Command Line App using PyTorch - Udacity Nanodegree Project
Create a Deep Neural Network from Scratch using Python3.
This repository includes all the udacity deep learning project that i have worked on while i was taking this course
This repository focuses on the Neural Networks and deep learning. It is a workbook you can refer it for a reference. I'll Include following content here: Neurons, perceptrons, weight and biases, learning rate, activation form, hyper parameters, RNN, CNN and other popular concepts.
A simple regression analysis of house prices in USA with 11 features selected on MECE Framework
Feature Engineering, Cross Validation, ROC, AUC, Pipeline, Model Tuning, Hyper Parameter Tuning, Grid Search
Identify whether a person is going to recover from coronavirus and its done using ML classifiers from Sklearn
Recommender System. Politecnico di Milano, A.A. 2021-2022
Project for Deep Learning Nanodegree, unit 4 (Recurrent Neural Networks).
A web application to see effect of C hyperparameter on classification boundary and marginal threshold in SVM.
What important conclusion a company and an employee can take out of Analysis and Predicting Salary
The use of Machine Learning Regression models for predicting energy loads of buldings.
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