rohitpandey13

4d_plant_analysis

A new method for the space-time registration of a growing plant based on matching the plant at different geometric scales.

ACE

Code for the paper, Neural Network Attributions: A Causal Perspective (ICML 2019).

all-of-statistics

Self-study on Larry Wasserman's "All of Statistics"

awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

awesome-conformal-prediction

A curated list of awesome Conformal Prediction videos, tutorials, books, papers, articles and open-source libraries.

awesome-llm-interpretability

A curated list of Large Language Model (LLM) Interpretability resources.

Big-Data-Analytics-Pipeline

Build your own Big Data Analytics Pipeline using Kafka-Spark-Cassandra. Videos ->

conformal-tights

Conformal Tights is a scikit-learn meta-estimator that adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor

Customer-Analytics

Machine Learning Case study on customer segmentation and prediction of groups.

Data-Engineering-Projects

Personal Data Engineering Projects

rohitpandey13/AM207-1

Advanced Scientific Computing: Stochastic Optimization Methods. Monte Carlo Methods for Inference and Data Analysis

rohitpandey13/Applied-Data-Science-1

All codes from Applied data science class from fall semester 2014. This includes Python statistics (regression analysis, neural networks, classification etc) using stats models package and pandas, as well as equivalent scripts in R.

rohitpandey13/cmu-datamining

Tepper Data Mining Course Scripts

rohitpandey13/Computational-Investing-Part-I

rohitpandey13/CSC301H-Fall2013.github.io

Web page for CSC301H Introduction to Software Engineering at University of Toronto, Fall 2013

rohitpandey13/Forex-Strategy-Builder

Forex strategy backtester, generator, optimizer...

rohitpandey13/hadoop-mapreduce-financial-analytics

Hadoop Financial Analytics project

rohitpandey13/ML_for_Hackers

Code accompanying the book "Machine Learning for Hackers"

rohitpandey13/Principle-of-Urban-Informatics

All codes from Principle of urban informatics class from fall semester 2014. This includes introduction to Python data structure, Pandas package, GIS python interface and bokeh map, MySql and visualization concepts with python matplotlib package

rohitpandey13/Python-for-Signal-Processing

Notebooks for "Python for Signal Processing" book

rohitpandey13/rl

Fit reinforcement learning models to behavioral data

rohitpandey13/seq

First, second and third order effects in behavioral (or other) data.

rohitpandey13/shiny

Easy interactive web applications with R