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assessment-questions

awakaasha

Technical Repo

awesome-conformal-prediction

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

awesome-rust-machinelearning

This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀

bigdata

Big Data Demo Applications

bloomz.cpp

C++ implementation for BLOOM

boruta-feature-selection-implementation

breathing-k-means

The "breathing k-means" algorithm with datasets and example notebooks

chatgpt-prompt-engineering

Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.

churn-predict

comparison_pca_dfm

Dimension Reduction: Facing the Curse of Dimensionality Comparison of PCA and dynamic factor model

d2l-torch

Learning PyTorch through the D2L book. A series of notebooks for the same

daily-dose-of-data-science

A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.

data-engineer-challenge

This project will involve creating a table in BigQuery and loading data into it via Python.

data-science-books

Complete end to end Datascience Books for various Application

data-science-from-scratch

code for Data Science From Scratch book

deep-learning-in-production

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

dora

Tools for exploratory data analysis in Python

esn

Predicting Stock Prices with Echo State Network

eurybia

⚓ Eurybia monitors model drift over time and securizes model deployment with data validation

event-server

event-server

fastervit

Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

feature_selection

This ML repos is use to prepressing data and feature engineering.

galapagos_dice

Rolling Two Dice 1200 Each To See That They Are Fair

hands-on-big-data-analytics-with-pyspark

Hands-On Big Data Analytics with PySpark, Published by Packt

hands-on-data-analysis-with-pandas-2nd-edition

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

hands-on-machine-learning-with-cpp

Hands-On Machine Learning with C++, published by Packt

introduction_to_statistical_learning_summary_python

Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.

islr-python

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

llama.cpp

Port of Facebook's LLaMA model in C/C++