Visualizations are one of the best ways of telling a story with data. They are extremely useful when trying to understand data and unearth hidden patterns. Check out these 4 articles to design mind-blowing visualizations:

A Collection of 10 Data Visualizations You Must See - https://lnkd.in/fRemdbn

How to create Beautiful, Interactive data visualizations using Plotly in #R and #Python - https://lnkd.in/fN3e9m8

Comprehensive Guide to #DataVisualization in R - https://lnkd.in/fw9M-De

R-analyst #Cheatsheet: Data Visualization in R - https://lnkd.in/fnakeqH

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv

IBM Cognitive classes is one way to learn Data Science and Machine Learning, and it is absolutely FREE.

*DON'T SKIP THE LAB EXERCISE., IT IS HELPFUL*

This is the Learning Path

1) Introduction to Data Science
(https://lnkd.in/fF79bEj)

2) Data Science Tools
(https://lnkd.in/fYf2ZC8)

3) Data Science Methodology
(https://lnkd.in/fY6Kwqd)

4) Statistics 101
(https://lnkd.in/fpgJf7D)

5) Predictive Modeling Fundamentals I
(https://lnkd.in/f9_Y7UZ)

6) Python for Data Science
(https://lnkd.in/fy8E2wH)

7) Data Analysis with Python
(https://lnkd.in/fRQWByd)

8) Data Visualization with Python
(https://lnkd.in/fFu93ME)

9) Machine Learning with Python
(https://lnkd.in/f_7r534)

10) Deep Learning Fundamentals
(https://lnkd.in/fNvPvix)

11) Deep Learning with TensorFlow
(https://lnkd.in/ftfRtvQ)

#datavisualization #deeplearning #datascience #python #predictivemodeling #machinelearning

Please share us if you would like

✴️ @AI_Python_EN

Data Science with R Cognitive Classes

DO NOT SKIP THE LAB EXERCISE. IT IS VERY HELPFUL

Here is the sequence we should follow -

R101
https://lnkd.in/fXTKq5U

Using R with Databases
https://lnkd.in/fRrBV7N

Data Visualization with R
https://lnkd.in/fWT8ZVK

Machine Learning with R
https://lnkd.in/fERn7eT

Data Analysis with R is coming soon on Cognitive.
Here is the link
https://lnkd.in/fm-BSaS

#dataanalysis #datavisualization #datascience #machinelearning

✴️ @AI_Python_EN

Data Visualization is a very important step in #DataScience, so we should try to MASTER it.

Here are the useful links for #DataVisualization -

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)

✴️ @AI_Python_EN

What are the best resources to learn major libraries for #DataScience in #Python. Here is my updated full list.
Will recommend to use Jupyter-Spyder environment to practice all these.

#DataLoading and #DataManipulation

✔️Numpy - https://bit.ly/1OLtuIF
✔️Scipy - https://bit.ly/2f3pitB
✔️Pandas - https://bit.ly/2qs1lAJ

#DataVisualization
✔️Matplotlib https://bit.ly/2gxxViI
✔️Seaborn https://bit.ly/2ABypQC
✔️Plotly https://bit.ly/2uJwULB
✔️Bokeh https://bit.ly/2uOFbxQ

#ML #DL #ModelEvaluation
✔️Scikit-Learn - https://bit.ly/2uYFNkw
✔️H20 - https://bit.ly/2M0hJnG
✔️Xgboost - https://bit.ly/2M3Vdut
✔️Tensorflow - https://bit.ly/2vfI5es
✔️Caffe- https://bit.ly/2a05bgt
✔️Keras - https://bit.ly/2vfDyZj
✔️Pytorch - https://bit.ly/2uXWY5U
✔️Theano - https://bit.ly/2v3N805


#analytics #artificialintelligence #machinelearning
#recommend

✴️ @AI_Python_EN

Transition guide from Excel’s analyst to Python Programming for Data Analysis

1. From Excel to Pandas https://lnkd.in/fnU5apw
2. Communication & Data Storytelling https://lnkd.in/eqf5gUV
3. Data Manipulation with Python https://lnkd.in/g4DFNpJ
4. Data Visualization with Python (Matplotlib/Seaborn): https://lnkd.in/g_3fx_6
5. Advanced Pandas https://lnkd.in/fZWGp9B
6. Tricks on Pandas by Real Python https://lnkd.in/fXc9XSp
7. Becoming Efficient with Pandas https://lnkd.in/f64hU-Y
8. Pandas Advances Tips https://lnkd.in/fGyBc4c
9. Jupyter Notebook (Beginner) https://lnkd.in/fTFinFi
10. Jupyter Notebook (Advanced) https://lnkd.in/fFufePv

#datavisualization #python #programming #pydata #datasets #pandas #datasets

✴️ @AI_Python_EN

Data Visualization is a very important step in Data Science, so we should try to MASTER it.

Here are the 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)

8) Data Visualization in R
https://lnkd.in/fEvZB_N

9) The Next Level of Data Visualization in Python (Plotly)
https://lnkd.in/fKn4cPM

#datascience #dataanalysis #datavisualization #python #r

✴️ @AI_Python_EN