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- Ideas for Programmers Looking Beyond Web Development | kipply's blog https://carolchen.me/blog/past-webdev/ 30 comments
- How to Build a Data Science Portfolio | by Michael Galarnyk | Towards Data Science https://medium.com/@GalarnykMichael/how-to-build-a-data-science-portfolio-5f566517c79c 23 comments
- How to score 0.8134 🏅 in Titanic Kaggle Challenge | Ahmed BESBES http://ahmedbesbes.com/how-to-score-08134-in-titanic-kaggle-challenge.html 12 comments
- GitHub - FilippoBovo/production-data-science: Production Data Science: a workflow for collaborative data science aimed at production https://github.com/Satalia/production-data-science 10 comments
- Data Science Portfolios That Will Get You the Job – Dataquest https://www.dataquest.io/blog/build-a-data-science-portfolio/ 7 comments
- Beginning machine learning by a software engineer in a hurry | by Conrado Quilles Gomes | TOTVSLabs | Medium https://medium.com/totvslabs/beginning-machine-learning-by-a-software-engineer-in-a-hurry-ad58412145b8 7 comments
- Machine Learning using Logistic Regression in Python with Code | by Meet Nandu | Good Audience https://medium.com/p/ab3c7f5f3bed 5 comments
- Four lessons learned while hunting for a data scientist role | by João Marcos Gris | HackerNoon.com | Medium https://medium.com/@joaomarcosgris/four-lessons-learned-while-hunting-for-a-data-scientist-role-3e1bf05b5440 5 comments
- GitHub - aceking007/100ProjectsOfCode: A list of practical knowledge-building projects. https://github.com/aceking007/100ProjectsOfCode 5 comments
- Python with ggplot. Jupyter Notebooks combining Python and… | by Cristian Cardellino | Medium https://medium.com/@crscardellino/python-with-ggplot-9ed888af93ca 4 comments
- A Guide to Calibration Plots in Python – Chang Hsin Lee – Committing my thoughts to words. http://changhsinlee.com/python-calibration-plot/ 3 comments
- GitHub - emilwallner/How-to-learn-Deep-Learning: A top-down, practical guide to learn AI, Deep learning and Machine Learning. https://github.com/emilwallner/How-to-learn-AI 1 comment
- Cross-sectional data – An easy introduction https://dspyt.com/cross-sectional-data-an-easy-introduction 1 comment
- How to Learn Machine Learning Online Free in 2022? https://www.mltut.com/how-to-learn-machine-learning-online-free/ 0 comments
- The cold start problem: how to break into machine learning | by Edouard Harris | Towards Data Science https://towardsdatascience.com/the-cold-start-problem-how-to-break-into-machine-learning-732ee9fedf1d 0 comments
- Analysing Kaggle Titanic Survival Data using Spark ML http://blog.madhukaraphatak.com/analysing-kaggle-titanic-data/ 0 comments
- 30 Top Resources to Learn ML https://serokell.io/blog/top-resources-to-learn-ml 0 comments
- A simple way to anonymize data with Python and Pandas - DEV Community https://dev.to/r0f1/a-simple-way-to-anonymize-data-with-python-and-pandas-79g 0 comments
- 65 Free Data Science Resources for Beginners https://elitedatascience.com/data-science-resources 0 comments
- Supervised Machine Learning Algorithms in Python | Toptal https://www.toptal.com/machine-learning/supervised-machine-learning-algorithms 0 comments
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