Victor Tuekam's starred repositories
presentation_template
template for academic presentations in LaTeX
3rd-prize-winner-Microsoft_AIMS-DataScience_hackathon
About the Problem Granular information on economic well being is extremely useful for governments and policy makers. But household surveys that capture this kind of information are expensive and conducted infrequently in many African countries. For this competition we will attempt to create a workaround for this lack of data by building a model able to predict a measure of wealth as measured in household surveys using readily available inputs. Using data from 18 different countries collected at different times, you must correctly predict the cluster-level estimated wealth measures found from surveys in 7 different countries not covered in the training data. A successful model could be useful for filling in the gaps between the more expensive surveys.
free-for-dev
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
jupyterlab-vim
Vim notebook cell bindings for JupyterLab
cheatsheets
Cheatsheets for web development - devhints.io
oxforddown
Template for writing an Oxford University thesis in R Markdown; uses the OxThesis LaTeX template and was inspired by thesisdown.
config_manager
My configuration files and tools
Econ-Data-Science
Articles/ Journals and Videos related to Economics:chart_with_upwards_trend: and Data Science :bar_chart:
awesome-modern-cpp
A collection of resources on modern C++
telescope.nvim
Find, Filter, Preview, Pick. All lua, all the time.
My_kaggle_competitions
This Repository will be about my kaggle competitions
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
PISE-S.A.R.L-house-price-predictor
This is just a prototype ment for fun!!!, enjoy
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
ml-interviews-book
https://huyenchip.com/ml-interviews-book/
jupyterlab-lsp
Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol