Sidharth's Projects
Answers to 120 commonly asked data science interview questions.
ab testing codes
Neural Network to Output Boy Band Lyrics
Steam review texting embedding analysis
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Coursera Capstone IBM Data Science Pro Certi
Coursera work, including code, quiz and tips
Data Science Using Python
Code for data augmentation for text/NLP
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Genetic ConvNet architecture search with Keras
google data analytics professional certificate
https://www.coursera.org/professional-certificates/google-project-management
Hyper-parameter optimization for sklearn
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
InsightSolver: Colab notebooks for exploring and solving operational issues using deep learning, machine learning, and related models.
Fit interpretable models. Explain blackbox machine learning.
Port of Facebook's LLaMA model in C/C++
Multiple correspondence analysis
A Python toolbox for performing gradient-free optimization
Do NLP tasks with some SOTA methods
A collection of iPython/Jupyter notebooks.
Wikimedia Pageview API client
python partial dependence plot toolbox