Discover and read the best of Twitter Threads about #Scikitlearn
Most recents (9)
BIG ANNOUNCEMENT: I'm beyond excited to announce that in 5 days, I'm launching my brand new course- The #Python for Machine Learning & API's Course.
This course will transform your #career.
Here's what's inside... 🧵
#datascience #course
This course will transform your #career.
Here's what's inside... 🧵
#datascience #course
This launch marks the culmination of 2 years of research...
It covers The 6 Top #Python libraries for machine learning and production:
It covers The 6 Top #Python libraries for machine learning and production:
Over the past 3 years, I've been writing Python code daily.
And this coming Thursday, I'm excited to share what I've learned. 🧵
#datascience #career #python #rstats
And this coming Thursday, I'm excited to share what I've learned. 🧵
#datascience #career #python #rstats
Most of you know me as an #R guy. And I 1000% love R. ❤️
But I've also grown over the past 10+ years that I've been practicing data science as a data scientist, as a consultant, and as an educator.
But I've also grown over the past 10+ years that I've been practicing data science as a data scientist, as a consultant, and as an educator.
What I've come to realize is that no one language is perfect.
Each has its strengths. And weaknesses.
And more often than not we get caught up in debating things that **don't** really matter...
Like R vs Python.
Each has its strengths. And weaknesses.
And more often than not we get caught up in debating things that **don't** really matter...
Like R vs Python.
I continue to be impressed by the ease of doing machine learning with Pycaret.
This is especially great for #R people that want to learn #Python.
Let me explain...
#DataScience #Rstats
This is especially great for #R people that want to learn #Python.
Let me explain...
#DataScience #Rstats
As many of you know, my primary data science toolkit is #R. ❤️
I've been doing data science in production at @bizScienc and developing open-source R software for over 10 years.
- Modeltime (+4 ecosystem pkgs)
- Timetk
- Tidyquant
- CorrelationFunnel
I've been doing data science in production at @bizScienc and developing open-source R software for over 10 years.
- Modeltime (+4 ecosystem pkgs)
- Timetk
- Tidyquant
- CorrelationFunnel
But, I interact with team members and interface with clients...
and their language of choice is often Python.
It's refreshing that I can quickly switch to Python when needed, and not need to write 5000 lines of #ScikitLearn code to do basic machine learning.
and their language of choice is often Python.
It's refreshing that I can quickly switch to Python when needed, and not need to write 5000 lines of #ScikitLearn code to do basic machine learning.
Roadmap to becoming Data Analyst in three months absolutely free. No need to pay a penny for this.
I have mentioned a roadmap with free resources.
A thread🧵👇
I have mentioned a roadmap with free resources.
A thread🧵👇
1. First Month Foundations of Data Analysis
A. Corey Schafer - Python Tutorials for Beginners:
B. StatQuest with Josh Starmer - Statistics Fundamentals:
C. Ken Jee - Data Analysis with Python
A. Corey Schafer - Python Tutorials for Beginners:
B. StatQuest with Josh Starmer - Statistics Fundamentals:
C. Ken Jee - Data Analysis with Python
2. Second Month - Advanced Data Analysis Techniques
A. Sentdex - Machine Learning with Python
B. StatQuest with Josh Starmer - Machine Learning Fundamentals
C. Brandon Foltz - Business Analytics
A. Sentdex - Machine Learning with Python
B. StatQuest with Josh Starmer - Machine Learning Fundamentals
C. Brandon Foltz - Business Analytics
Python project ideas for beginners with source code
A thread 🧵👇
A thread 🧵👇
Python for data science beginners roadmap
A thread 🧵👇
A thread 🧵👇
1. Python Basics
Codecademy's Python Course (codecademy.com/learn/learn-py…)
Python for Everybody Course (py4e.com)
Codecademy's Python Course (codecademy.com/learn/learn-py…)
Python for Everybody Course (py4e.com)
2. Data Analysis Libraries
NumPy User Guide (numpy.org/doc/stable/use…)
Pandas User Guide (pandas.pydata.org/docs/user_guid…)
Matplotlib Tutorials (matplotlib.org/stable/tutoria…)
NumPy User Guide (numpy.org/doc/stable/use…)
Pandas User Guide (pandas.pydata.org/docs/user_guid…)
Matplotlib Tutorials (matplotlib.org/stable/tutoria…)
Resources for getting started in #DataScience
Where to start? What to read? What to learn? I got you covered.
🧵 See thread below 👇
Where to start? What to read? What to learn? I got you covered.
🧵 See thread below 👇
2/ Roadmap to #datascience
Here's my 4 step process on becoming a data scientist
1. Plan
2. Learn
3. Build
4. Explain
👉 Video
👉 Blog towardsdatascience.com/the-art-of-lea…
Here's my 4 step process on becoming a data scientist
1. Plan
2. Learn
3. Build
4. Explain
👉 Video
👉 Blog towardsdatascience.com/the-art-of-lea…
3/ Create your own #datascience learning curriculum
Everyone's interest or needs are different. Therefore the destiny of everyone's learning journey is also different.
Create your own curriculum. Here's how:
👉 Video
👉 Blog towardsdatascience.com/how-to-create-…
Everyone's interest or needs are different. Therefore the destiny of everyone's learning journey is also different.
Create your own curriculum. Here's how:
👉 Video
👉 Blog towardsdatascience.com/how-to-create-…
Jensen Huang, @nvidia CEO just kicked off #GTC2020 with a keynote that covered several groundbreaking announcements and partnerships. The future of #AI and #Nvidia is incredibly exciting. Here's a thread of the (many) key takeaways. Let's get started!🧵👇
The main focus this time was on #AI & high performance computing in the data center & on the edge. This #GTC2020 Nvidia is releasing 80 new and updated SDKs. CUDA, Nvidia's toolkit for GPU powered applications, has been downloaded 20M times, 6M in 2020 alone.
#Omniverse, Nvidia's platform for simulation & collaboration is now in open beta. Using Omniverse teams can simultaneously work in Blender, Maya, Unreal etc and view the results rendered in real time in a common interface.
Direita? Esquerda? Centro? Onde se devem sentar os partidos? Qual a proximidade entre eles?
Com base na análise de todas as votações da passada legislatura pode-se ir para além dos discursos
nbviewer.jupyter.org/github/fsmunoz…
#DataScience #portugal
Com base na análise de todas as votações da passada legislatura pode-se ir para além dos discursos
nbviewer.jupyter.org/github/fsmunoz…
#DataScience #portugal
* CDU separada de BE/Livre(JKM)
* PAN como primeira separação mas "à esquerda"
* PS agrupado com PSD
* IL/CDS/CH próximos
* PAN como primeira separação mas "à esquerda"
* PS agrupado com PSD
* IL/CDS/CH próximos
- Partidos à esquerda mais próximos em termos absolutos que os à direita
- Ainda assim, partidos à direita com menores diferenças no grupo IL/CDS/CH
- PS quase equidistante mas com maior proximidade à direita.
- LIVRE/JKM mais próximos do BE
- Ainda assim, partidos à direita com menores diferenças no grupo IL/CDS/CH
- PS quase equidistante mas com maior proximidade à direita.
- LIVRE/JKM mais próximos do BE
