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100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

525-group16

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

books

breast_cancer_predictor

Demo of a data analysis project for DSCI 522 (Data Science workflows) at UBC

building_energy_consumption

canadian_heritage_fund_report

Report of the project of the Canadian Heritage Fund Prediction project

canadian_heritage_funding

coding-interview-university

A complete computer science study plan to become a software engineer.

cookiecutter-jupyter-book

Cookiecutter template for a simple jupyter book

cs-self-learning

计算机自学指南

dash-tableau-shiny_comparison

DSCI 532 comparison among technologies

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

ddia-references

Literature references for “Designing Data-Intensive Applications”

dockerfile-practice

Create Docker images from Dockerfile, and add GitHub Actions workflow to automatically build the image, push it to DockerHub, and version the image and GitHub repo when changes are pushed to the Dockerfile.

docopt_demo

Practice on using docopt to create command line arguments in scripts.

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

ds-toolbox

equine_numbers_value_canada_rmd

god-level-data-science-ml-full-stack

A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

leetcode-sql-summary

*Summary of 102 LeetCode SQL questions* This note aims to help people learn and review SQL efficiently. The first draft mainly focuses on T-SQL/MS SQL Server.

mds-hw

Kanban board

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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。