Datajacker

To learn about github, this is the first repository created from the guide.

Data Science techniques

• Basic Python Programming skills

• Numpy, Pandas, Matplot, Sklearn, Seaborn,

• Classes, Objects and Packages

• Web Scraping

• API’s

Tips for plotting graphs

• Easy Ways to Make Your Charts Look More Professional https://towardsdatascience.com/easy-ways-to-make-your-charts-look-more-professional-9b081655eae7

Data Science Books

• Hands-on Machine Learning with Scikit-Learn, Keras, and TenseFlow

• An Introduction to Statistical Learning

• https://www.reddit.com/r/MachineLearning/comments/fdw0ax/d_advanced_courses_update/

Machine learning Papers

• https://vsitzmann.github.io/siren/

Education Background

• MSc in Chemical Engineering Sep 2017 – May 2020 University of Alberta, Edmonton AB

• BSc in Chemistry Sep 2013 - Jun 2017 Renmin University of China, Beijing CN

Projects

• Introduction to data science /n https://github.com/Datajacker/Introduction-to-data-science
• DataCamp Data Science track https://github.com/Datajacker/Datacamp-data-science

Data Science links

All about Categorical Variable Encoding

How to build a data science project from scratch

https://medium.com/free-code-camp/how-to-build-a-data-science-project-from-scratch-dc4f096a62a1

Automated Feature Engineering in Python

https://towardsdatascience.com/automated-feature-engineering-in-python-99baf11cc219

Linear Regression on Boston Housing Dataset

https://towardsdatascience.com/linear-regression-on-boston-housing-dataset-f409b7e4a155

Pneumonia Detection: Pushing the Boundaries of Human Ability with Deep Learning

https://towardsdatascience.com/pneumonia-detection-pushing-the-boundaries-of-human-ability-with-deep-learning-ce08dbd0dc20

Linear Regression using Python

https://towardsdatascience.com/linear-regression-using-python-b136c91bf0a2

Six Recommendations for Aspiring Data Scientists

https://towardsdatascience.com/six-recommendations-for-aspiring-data-scientists-93d12aeb9b9

Why you’re not a job-ready data scientist (yet)

https://towardsdatascience.com/why-youre-not-a-job-ready-data-scientist-yet-1a0d73f15012

The 10 Statistical Techniques Data Scientists Need to Master

https://medium.com/cracking-the-data-science-interview/the-10-statistical-techniques-data-scientists-need-to-master-1ef6dbd531f7

Essential Cheat Sheets for Machine Learning and Deep Learning Engineers

https://startupsventurecapital.com/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Mathematics for Data Science

https://towardsdatascience.com/mathematics-for-data-science-e53939ee8306

5 Fabulous Python Packages For Data-Science Nobody Knows About

https://towardsdatascience.com/5-fabulous-python-packages-for-data-science-nobody-knows-about-9fa192f312e4

Programming projects

10 Great Programming Projects to Improve Your Resume and Learn to Program

https://levelup.gitconnected.com/10-great-programming-projects-to-improve-your-resume-and-learn-to-program-74b14d3e9e16

Guidance

Red flags in data science interviews

https://towardsdatascience.com/red-flags-in-data-science-interviews-4f492bbed4c4

Five Interview Questions to Predict a Good Data Scientist

https://mail.google.com/mail/u/0/?tab=rm&ogbl#starred/FMfcgxwHNCwJpxnPbwVLpbwDzlNQJgbV

Five books every data scientist should read that are not about data science

https://towardsdatascience.com/five-books-every-data-scientist-should-read-that-are-not-about-data-science-f7335fb1f84f

The Blunt Guide to Mathematically Rigorous Machine Learning

https://medium.com/technomancy/the-blunt-guide-to-mathematically-rigorous-machine-learning-c53263d45c7b

Data Science for Startups: Introduction

https://towardsdatascience.com/data-science-for-startups-introduction-80d022a18aec

Getting started with Spark & batch processing frameworks

https://blog.insightdatascience.com/getting-started-with-spark-and-batch-processing-frameworks-d9f80c146e13