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# Data-Science-Tutorials | ||
Data Science Tutorials | ||
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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) | ||
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2) What would be useful for aspiring data scientists to know? | ||
(https://lnkd.in/fmcFyN7) | ||
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3) 8 Essential Tips for People starting a Career in Data Science. | ||
(https://lnkd.in/f5vUg6i) | ||
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4) Cheat sheet: How to become a data scientist. | ||
(https://lnkd.in/fMEhi4D) | ||
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5) The Art of Learning Data Science. | ||
(https://lnkd.in/fruY2AC) | ||
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6) The Periodic Table of Data Science. | ||
(https://lnkd.in/fxReDab) | ||
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7) Aspiring Data Scientists! Start to learn Statistics with these 6 books! | ||
(https://lnkd.in/fXSE-us) | ||
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8) 8 Skills You Need to Be a Data Scientist | ||
(https://lnkd.in/f8S3Ygd) | ||
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9) Top 10 Essential Books for the Data Enthusiast | ||
(https://lnkd.in/fKugicE) | ||
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10) Aspiring data scientist? Master these fundamentals. | ||
(https://lnkd.in/fTGDkju) | ||
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11) How to Become a Data Scientist - On your own. | ||
(https://lnkd.in/f_Zhpzf) | ||
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Some good ***TUTORIALS*** on #datascience #machinelearning #deeplearning | ||
======================================================================== | ||
Data Science Training Videos | ||
https://lnkd.in/fhEUuXM | ||
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Data Analysis in Python and Pandas | ||
https://lnkd.in/f6CAxe7 | ||
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Machine Learning | ||
https://lnkd.in/fZYMSNa | ||
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Machine Learning with Python | ||
https://lnkd.in/fv_TjKA | ||
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Deep Learning Basics | ||
https://lnkd.in/fpptKs4 | ||
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Deep Learning tutorial | ||
https://lnkd.in/fZfj3UA | ||
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Deep Learning with TensorFlow | ||
https://lnkd.in/f9t35fx | ||
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Clear explanation of DEEP LEARNING by MIT. ***Must Watch*** | ||
============================================================= | ||
1) Introduction to Deep Learning | ||
https://lnkd.in/fJ2-WJm | ||
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2) Deep Sequence Modelling | ||
https://lnkd.in/fw6CVus | ||
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3) Deep Learning for Computer Vision | ||
https://lnkd.in/fqWUtqd | ||
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4) Deep Generative Models | ||
https://lnkd.in/f2_66T2 | ||
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5) Deep Reinforcement Learning | ||
https://lnkd.in/fVxphZd | ||
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6) Limitations and New Frontiers | ||
https://lnkd.in/fKEmBjS | ||
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Github Link - https://lnkd.in/fwsKKp4 | ||
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GRETL - Great Statistical software for Beginners. Here is the Gretl Tutorial by Simone Gasperin | ||
================================================================================================ | ||
1)Simple Linear Regression | ||
https://lnkd.in/ecfsV9c | ||
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2)Coding Dummy Variables | ||
https://lnkd.in/ef7Yd7f | ||
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3)Forecasting New Observations | ||
https://lnkd.in/eNKbxbU | ||
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4)Forecasting a Large Number of Observations | ||
https://lnkd.in/eHmibGs | ||
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5)Logistic Regression | ||
https://lnkd.in/eRfhQ87 | ||
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6)Forecasting and Confusion Matrix | ||
https://lnkd.in/eaqrFJr | ||
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7)Modeling and Forecasting Time Series Data | ||
https://lnkd.in/e6fqKpF | ||
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8)Comparing Time Series Trend Models | ||
https://lnkd.in/eKjEUAE | ||
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Useful links for Data Visualization - | ||
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1)Quick and Easy Data Visualizations in Python with Code. | ||
(https://lnkd.in/fXJ-_Y8) | ||
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2)10 Useful Python Data Visualization Libraries for Any Discipline. | ||
(https://lnkd.in/fBxbHwr) | ||
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3)Top 50 matplotlib Visualizations – The Master Plots (with full python code). | ||
(https://lnkd.in/fGrnGax) | ||
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4)Data Visualization Effectiveness Profile. | ||
(https://lnkd.in/f3v52Fd) | ||
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5)The Visual Perception of Variation in Data Displays. | ||
(https://lnkd.in/fm-TbPM) | ||
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6)Matplotlib Tutorial – A Complete Guide to Python Plot w/ Examples. | ||
(https://lnkd.in/fFkUgQP) | ||
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7)Interactive Data Visualization in Python With Bokeh. | ||
(https://lnkd.in/fEfQAvg) | ||
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