└── README.md


/README.md:
--------------------------------------------------------------------------------
  1 | # Data Science Tutorials
  2 | 
  3 | MUST READ ARTICLES FOR DATA SCIENCE ENTHUSIAST.
  4 | ==============================================
  5 | 1) Every Intro to Data Science Course on the Internet, Ranked.
  6 | (https://lnkd.in/fQDMiNX)
  7 | 
  8 | 2) What would be useful for aspiring data scientists to know?
  9 | (https://lnkd.in/fmcFyN7)
 10 | 
 11 | 3) 8 Essential Tips for People starting a Career in Data Science.
 12 | (https://lnkd.in/f5vUg6i)
 13 | 
 14 | 4) Cheat sheet: How to become a data scientist.
 15 | (https://lnkd.in/fMEhi4D)
 16 | 
 17 | 5) The Art of Learning Data Science.
 18 | (https://lnkd.in/fruY2AC)
 19 | 
 20 | 6) The Periodic Table of Data Science.
 21 | (https://lnkd.in/fxReDab)
 22 | 
 23 | 7) Aspiring Data Scientists! Start to learn Statistics with these 6 books!
 24 | (https://lnkd.in/fXSE-us)
 25 | 
 26 | 8)  8 Skills You Need to Be a Data Scientist
 27 | (https://lnkd.in/f8S3Ygd)
 28 | 
 29 | 9) Top 10 Essential Books for the Data Enthusiast
 30 | (https://lnkd.in/fKugicE)
 31 | 
 32 | 10)  Aspiring data scientist? Master these fundamentals.
 33 | (https://lnkd.in/fTGDkju)
 34 | 
 35 | 11) How to Become a Data Scientist - On your own.
 36 | (https://lnkd.in/f_Zhpzf)
 37 | 
 38 | 
 39 | 
 40 | 
 41 | Some good ***TUTORIALS*** on Data Science, Machine Learning and Deep Learning
 42 | =============================================================================
 43 | 1) Data Science Training Videos
 44 | https://lnkd.in/fhEUuXM
 45 | 
 46 | 
 47 | 2) Data Analysis in Python and Pandas
 48 | https://lnkd.in/f6CAxe7
 49 |  
 50 | 
 51 | 3) Machine Learning
 52 | https://lnkd.in/fZYMSNa
 53 | 
 54 | 
 55 | 4) Machine Learning with Python
 56 | https://lnkd.in/fv_TjKA
 57 |  
 58 | 
 59 | 5) Deep Learning Basics
 60 | https://lnkd.in/fpptKs4
 61 |  
 62 | 
 63 | 6) Deep Learning tutorial
 64 | https://lnkd.in/fZfj3UA
 65 | 
 66 | 
 67 | 7) Deep Learning with TensorFlow
 68 | https://lnkd.in/f9t35fx
 69 | 
 70 | 
 71 | 
 72 | 
 73 | Clear explanation of DEEP LEARNING by MIT.  ***Must Watch*** 
 74 | =============================================================
 75 | 1) Introduction to Deep Learning
 76 | https://lnkd.in/fJ2-WJm
 77 | 
 78 | 2) Deep Sequence Modelling
 79 | https://lnkd.in/fw6CVus
 80 | 
 81 | 3) Deep Learning for Computer Vision
 82 | https://lnkd.in/fqWUtqd
 83 | 
 84 | 4) Deep Generative Models
 85 | https://lnkd.in/f2_66T2
 86 | 
 87 | 5) Deep Reinforcement Learning
 88 | https://lnkd.in/fVxphZd
 89 | 
 90 | 6) Limitations and New Frontiers
 91 | https://lnkd.in/fKEmBjS
 92 | 
 93 | Github Link - https://lnkd.in/fwsKKp4
 94 | 
 95 | 
 96 | 
 97 | 
 98 | GRETL - Great Statistical software for Beginners. Here is the Gretl Tutorial by Simone Gasperin
 99 | ================================================================================================
100 | 1) Simple Linear Regression
101 | https://lnkd.in/ecfsV9c
102 | 
103 | 2) Coding Dummy Variables
104 | https://lnkd.in/ef7Yd7f
105 | 
106 | 3) Forecasting New Observations
107 | https://lnkd.in/eNKbxbU
108 | 
109 | 4) Forecasting a Large Number of Observations
110 | https://lnkd.in/eHmibGs
111 | 
112 | 5) Logistic Regression
113 | https://lnkd.in/eRfhQ87
114 | 
115 | 6) Forecasting and Confusion Matrix
116 | https://lnkd.in/eaqrFJr
117 | 
118 | 7) Modeling and Forecasting Time Series Data
119 | https://lnkd.in/e6fqKpF
120 |   
121 | 8) Comparing Time Series Trend Models
122 | https://lnkd.in/eKjEUAE
123 | 
124 | 
125 | 
126 | Useful links for Data Visualization - 
127 | ====================================
128 | 1) Quick and Easy Data Visualizations in Python with Code.
129 | (https://lnkd.in/fXJ-_Y8)
130 | 
131 | 2) 10 Useful Python Data Visualization Libraries for Any Discipline.
132 | (https://lnkd.in/fBxbHwr)
133 | 
134 | 3) Top 50 matplotlib Visualizations – The Master Plots (with full python code).
135 | (https://lnkd.in/fGrnGax)
136 | 
137 | 4) Data Visualization Effectiveness Profile.
138 | (https://lnkd.in/f3v52Fd)
139 | 
140 | 5) The Visual Perception of Variation in Data Displays.
141 | (https://lnkd.in/fm-TbPM)
142 | 
143 | 6) Matplotlib Tutorial – A Complete Guide to Python Plot w/ Examples.
144 | (https://lnkd.in/fFkUgQP)
145 | 
146 | 7) Interactive Data Visualization in Python With Bokeh.
147 | (https://lnkd.in/fEfQAvg)
148 | 
149 | DATA SCIENCE PROJECTS (a simple to start the datascience journey )
150 | ================================================================================================
151 | 1) Twitter sentiment analysis using python(https://www.geeksforgeeks.org/twitter-sentiment-analysis-using-python/)
152 | 
153 | 2) Spam detection using python (https://towardsdatascience.com/spam-classifier-in-python-from-scratch-27a98ddd8e73)
154 | 
155 | 
156 | 


--------------------------------------------------------------------------------