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https://github.com/datasciencescoop/Data-Science-Tutorials

Data Science Tutorials
https://github.com/datasciencescoop/Data-Science-Tutorials

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Data Science Tutorials

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README 

        
# Data Science Tutorials



MUST READ ARTICLES FOR DATA SCIENCE ENTHUSIAST.

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1) Every Intro to Data Science Course on the Internet, Ranked.

(https://lnkd.in/fQDMiNX)



2) What would be useful for aspiring data scientists to know?

(https://lnkd.in/fmcFyN7)



3) 8 Essential Tips for People starting a Career in Data Science.

(https://lnkd.in/f5vUg6i)



4) Cheat sheet: How to become a data scientist.

(https://lnkd.in/fMEhi4D)



5) The Art of Learning Data Science.

(https://lnkd.in/fruY2AC)



6) The Periodic Table of Data Science.

(https://lnkd.in/fxReDab)



7) Aspiring Data Scientists! Start to learn Statistics with these 6 books!

(https://lnkd.in/fXSE-us)



8)  8 Skills You Need to Be a Data Scientist

(https://lnkd.in/f8S3Ygd)



9) Top 10 Essential Books for the Data Enthusiast

(https://lnkd.in/fKugicE)



10)  Aspiring data scientist? Master these fundamentals.

(https://lnkd.in/fTGDkju)



11) How to Become a Data Scientist - On your own.

(https://lnkd.in/f_Zhpzf)



Some good ***TUTORIALS*** on Data Science, Machine Learning and Deep Learning

=============================================================================

1) Data Science Training Videos

https://lnkd.in/fhEUuXM



2) Data Analysis in Python and Pandas

https://lnkd.in/f6CAxe7

 



3) Machine Learning

https://lnkd.in/fZYMSNa



4) Machine Learning with Python

https://lnkd.in/fv_TjKA

 



5) Deep Learning Basics

https://lnkd.in/fpptKs4

 



6) Deep Learning tutorial

https://lnkd.in/fZfj3UA



7) Deep Learning with TensorFlow

https://lnkd.in/f9t35fx



Clear explanation of DEEP LEARNING by MIT.  ***Must Watch*** 

=============================================================

1) Introduction to Deep Learning

https://lnkd.in/fJ2-WJm



2) Deep Sequence Modelling

https://lnkd.in/fw6CVus



3) Deep Learning for Computer Vision

https://lnkd.in/fqWUtqd



4) Deep Generative Models

https://lnkd.in/f2_66T2



5) Deep Reinforcement Learning

https://lnkd.in/fVxphZd



6) Limitations and New Frontiers

https://lnkd.in/fKEmBjS



Github Link - https://lnkd.in/fwsKKp4



GRETL - Great Statistical software for Beginners. Here is the Gretl Tutorial by Simone Gasperin

================================================================================================

1) Simple Linear Regression

https://lnkd.in/ecfsV9c



2) Coding Dummy Variables

https://lnkd.in/ef7Yd7f



3) Forecasting New Observations

https://lnkd.in/eNKbxbU



4) Forecasting a Large Number of Observations

https://lnkd.in/eHmibGs



5) Logistic Regression

https://lnkd.in/eRfhQ87



6) Forecasting and Confusion Matrix

https://lnkd.in/eaqrFJr



7) Modeling and Forecasting Time Series Data

https://lnkd.in/e6fqKpF

  

8) Comparing Time Series Trend Models

https://lnkd.in/eKjEUAE



Useful links for Data Visualization - 

====================================

1) Quick and Easy Data Visualizations in Python with Code.

(https://lnkd.in/fXJ-_Y8)



2) 10 Useful Python Data Visualization Libraries for Any Discipline.

(https://lnkd.in/fBxbHwr)



3) Top 50 matplotlib Visualizations – The Master Plots (with full python code).

(https://lnkd.in/fGrnGax)



4) Data Visualization Effectiveness Profile.

(https://lnkd.in/f3v52Fd)



5) The Visual Perception of Variation in Data Displays.

(https://lnkd.in/fm-TbPM)



6) Matplotlib Tutorial – A Complete Guide to Python Plot w/ Examples.

(https://lnkd.in/fFkUgQP)



7) Interactive Data Visualization in Python With Bokeh.

(https://lnkd.in/fEfQAvg)



DATA SCIENCE PROJECTS (a simple to start the datascience journey )

================================================================================================

1) Twitter sentiment analysis using python(https://www.geeksforgeeks.org/twitter-sentiment-analysis-using-python/)



2) Spam detection using python (https://towardsdatascience.com/spam-classifier-in-python-from-scratch-27a98ddd8e73)