sushgandhi

alphalens

Performance analysis of predictive (alpha) stock factors

Analyze_Bay_Area_Bike_Share_Data

angular-seed

Seed project for angular apps.

code-or-die

Code or Die: A Game for Galactical Domination

cs229-2019-summer

All notes and materials for the CS229: Machine Learning course by Stanford University

DataWranglingSQL

Descriptive_Stats_Compute_Statistics_Card_Draws

EnrornDataSet

Exploratory_Data_Analysis_Using_R

MLJumpStart

sushgandhi/alphalens

Performance analysis of predictive (alpha) stock factors

sushgandhi/cs229-2019-summer

All notes and materials for the CS229: Machine Learning course by Stanford University

sushgandhi/FiQA2018

sushgandhi/Flask_Angular4_Skeleton

A boiler plate for building apps using server to client side rendering with Angular 4 and Flask.

sushgandhi/fromscratch

sushgandhi/go-learning

sushgandhi/HAABSA_PLUS_PLUS

Hybrid Approach for Aspect-Based Sentiment Analysis

sushgandhi/interpretable_machine_learning_with_python

Practical techniques for interpreting machine learning models.

sushgandhi/ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

sushgandhi/kaggle-past-solutions

A searchable compilation of Kaggle past solutions

sushgandhi/llm-playground

sushgandhi/machine-learning-uiuc

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

sushgandhi/MachineLearningMentalModel

MachineLearningMentalModel

sushgandhi/NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

sushgandhi/pdfminer.six

Python PDF Parser -- fork with Python 2+3 support using six

sushgandhi/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

sushgandhi/Python-Lectures

Learn programming in python with Kishi

sushgandhi/PythonVirtualEnvironments

sushgandhi/RE-NLG-Dataset

T-Rex : A Large Scale Alignment of Natural Language with Knowledge Base Triples

sushgandhi/SEC-EDGAR-text

Text information from US companies' SEC EDGAR electronic filings

sushgandhi/stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

sushgandhi/system-design

Preparing for system design interview questions

sushgandhi/system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

sushgandhi/TabLog

sushgandhi/TecoChurnCaseStudy

sushgandhi/the-algorithm

Source code for Twitter's Recommendation Algorithm

sushgandhi/the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

sushgandhi/TIL

sushgandhi/Topics-in-deep-learning

Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)

sushgandhi/ValueInvesting

For value investing dashboard