-coursera_capstone

100-days-of-ml-code

100 Days of ML Coding

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

articlerecommendationsystem

awesome-dl4nlp

A curated list of awesome Deep Learning for Natural Language Processing resources

bert

TensorFlow code and pre-trained models for BERT

bert_toxicity_detection

Code related to jigsaw-unintended-bias-in-toxicity-classification based on https://github.com/huggingface/pytorch-pretrained-BERT/

clusteringalgorithms

Implementation of KMeans Clustering Algorithm and its Application on Image Compression

coding-interview-university

A complete computer science study plan to become a software engineer.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

course-nlp

A Code-First Introduction to NLP course

data-science-cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

data-science-interview-questions

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-structures-and-algorithms

A backup of my solutions/code and personal notes on Data Structures and Algorithms. Hosted at https://dsa.paulonteri.com

datavisualizationtechniques

deberta

The implementation of DeBERTa

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deeplearning.ai-natural-language-processing-specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

deeplearning_msds21

The repository associated with MSDS631 at University of San Francisco in Summer 2021.

devportfolio

A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass

disease-classification

dl-course

Notebooks for deep learning course

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

dtreeviz

A python library for decision tree visualization and model interpretation.

enronnetworkanalysis

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

featureimportance

Implementation of various feature importance algorithms from scratch Spearmen's correl, PCA, mRMR, Permutation and Drop Importance. This repository will also compare available methods for finding importance and variables and explain its pros and cons in different scenarios.