This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Last update: Jan 02, 2023

Related tags

Deep Learning python machine-learning statistical-learning datascience

Overview

An-Introduction-to-Statistical-Learning

This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning

An-Introduction-to-Statistical-Learning is one of the most popular books among data scientists to learn the conepts and intuitions behind machine learning algorithms, however, the exercises are implemented in R language, which is a hinderence for all those who are using python language. To overcome this i have tried solving all the questions in practical exerices in Python language, so people using python language can also get the most our of this amazing book. Along with that i have also provided the solutions for conceptual questions. I had tried my best to write the correct solutions to the problem, It was a challenge, and i need to learn to do a lot of research. I do not gurantee that all the solutions are absoletely correct. I have commented the notebooks. If you find any query, do send a feedback about the same. Suggestions and corrections are welcome. this is my email - [email protected] Happy Learning!

An Introduction to Statistical Learning

REFERENCES

Owner

Karma Yogi

GitHub Repository

Learning to See by Looking at Noise

Learning to See by Looking at Noise This is the official implementation of Learning to See by Looking at Noise. In this work, we investigate a suite o

82 Dec 24, 2022

This repo includes our code for evaluating and improving transferability in domain generalization (NeurIPS 2021)

Transferability for domain generalization This repo is for evaluating and improving transferability in domain generalization (NeurIPS 2021), based on

9 Nov 29, 2022

Code for the paper "Implicit Representations of Meaning in Neural Language Models"

Implicit Representations of Meaning in Neural Language Models Preliminaries Create and set up a conda environment as follows: conda create -n state-pr

39 Nov 03, 2022

Robotics with GPU computing

Robotics with GPU computing Cupoch is a library that implements rapid 3D data processing for robotics using CUDA. The goal of this library is to imple

625 Jan 07, 2023

A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations

jaxdf - JAX-based Discretization Framework Overview | Example | Installation | Documentation ⚠️ This library is still in development. Breaking changes

65 Dec 23, 2022

A TensorFlow implementation of DeepMind's WaveNet paper

A TensorFlow implementation of DeepMind's WaveNet paper This is a TensorFlow implementation of the WaveNet generative neural network architecture for

5.3k Dec 28, 2022

This is a Machine Learning Based Hand Detector Project, It Uses Machine Learning Models and Modules Like Mediapipe, Developed By Google!

Machine Learning Hand Detector This is a Machine Learning Based Hand Detector Project, It Uses Machine Learning Models and Modules Like Mediapipe, Dev

3 Feb 25, 2022

Code for database and frontend of webpage for Neural Fields in Visual Computing and Beyond.

Neural Fields in Visual Computing—Complementary Webpage This is based on the amazing MiniConf project from Hendrik Strobelt and Sasha Rush—thank you!

29 Nov 30, 2022

ColBERT: Contextualized Late Interaction over BERT (SIGIR'20)

Update: if you're looking for ColBERTv2 code, you can find it alongside a new simpler API, in the branch new_api. ColBERT ColBERT is a fast and accura

637 Jan 08, 2023

Official Implementation for the paper DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover’s Distance Improves Out-Of-Distribution Face Identification

DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover’s Distance Improves Out-Of-Distribution Face Identification Official Implementation for the pape

36 Dec 28, 2022

This is the repository for The Machine Learning Workshops, published by AI DOJO

This is the repository for The Machine Learning Workshops, published by AI DOJO. It contains all the workshop's code with supporting project files necessary to work through the code.

12 May 06, 2022

Official PyTorch implementation for paper "Efficient Two-Stage Detection of Human–Object Interactions with a Novel Unary–Pairwise Transformer"

UPT: Unary–Pairwise Transformers This repository contains the official PyTorch implementation for the paper Frederic Z. Zhang, Dylan Campbell and Step

109 Dec 20, 2022

Evaluation Pipeline for our ECCV2020: Journey Towards Tiny Perceptual Super-Resolution.

Journey Towards Tiny Perceptual Super-Resolution Test code for our ECCV2020 paper: https://arxiv.org/abs/2007.04356 Our x4 upscaling pre-trained model

6 Mar 30, 2022

[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

VirTex: Learning Visual Representations from Textual Annotations Karan Desai and Justin Johnson University of Michigan CVPR 2021 arxiv.org/abs/2006.06

533 Dec 24, 2022

FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks

FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks

6 Nov 18, 2022

Multi-Modal Machine Learning toolkit based on PaddlePaddle.

简体中文 | English PaddleMM 简介飞桨多模态学习工具包 PaddleMM 旨在于提供模态联合学习和跨模态学习算法模型库，为处理图片文本等多模态数据提供高效的解决方案，助力多模态学习应用落地。近期更新 2022.1.5 发布 PaddleMM 初始版本 v1.0 特性丰富的任务

520 Dec 28, 2022

Unofficial PyTorch implementation of Guided Dropout

Unofficial PyTorch implementation of Guided Dropout This is a simple implementation of Guided Dropout for research. We try to reproduce the algorithm

2 Jan 07, 2022

Pytorch implementation of ICASSP 2022 paper Attention Probe: Vision Transformer Distillation in the Wild

Attention Probe: Vision Transformer Distillation in the Wild Jiahao Wang, Mingdeng Cao, Shuwei Shi, Baoyuan Wu, Yujiu Yang In ICASSP 2022 This code is

6 Sep 21, 2022

Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"

Prompt-Tuning Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning" Currently, we support the following huggigface models: Bart

36 Dec 19, 2022

Code for "Searching for Efficient Multi-Stage Vision Transformers"

Searching for Efficient Multi-Stage Vision Transformers This repository contains the official Pytorch implementation of "Searching for Efficient Multi

62 Oct 25, 2022