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120-ds-interview-questions

My Answer to 120 Data Science Interview Questions

ai-recommendersystem

该仓库尝试整理推荐系统领域的一些经典算法模型

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

competition-baseline

数据科学竞赛知识、代码、思路

concrete_nlp_tutorial

An NLP workshop about concrete solutions to real problems

confusion_matrix

Contains cf_matrix.py file with a function to make a pretty visualization of a confusion matrix.

data-science-portfolio

This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, and Machine Learning.

datascience_artificialintelligence_utils

Examples of Data Science projects and Artificial Intelligence use cases

deeplearningprojects

这里主要存放做过的深度学习的一些实战项目

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

fastai

The fastai deep learning library, plus lessons and tutorials

fastbook

Draft of the fastai book

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python.

hands-on-nltk-tutorial

The hands-on NLTK tutorial for NLP in Python

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

interpret-community

The Interpret Community extends Interpret repo with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

llm-repo-collection

Collection of noteworthy LLMs Repositories and Resources

llm_poc

llms_interview_notes

LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案

machine-learning

:earth_americas: machine learning tutorials (mainly in Python3)

medium

A collection of Medium posts

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

ml_pocket_reference

Resources for Machine Learning Pocket Reference

nlp

:memo: This repository recorded my NLP journey.

nlp-beginner-finish

此项目完成了关于 NLP-Beginner：自然语言处理入门练习 的所有任务，所有代码都经过测试,可以正常运行。

nlp-notebooks

A collection of notebooks for Natural Language Processing from NLP Town

notebook-as-pdf

Save Jupyter Notebooks as PDF

pdpbox

python partial dependence plot toolbox