Niranjan
@live_niranjanWeb developer, Visulizaiton expert, and Data scientist
Similar User
@dave_O_A
@rauchips
@Docentric
@AdisaDavid14
@steve_ade1407
@rururu3
@Dami_sebolatan
@nwabuodafi
@CipherDave28
@grys_in
@aamircodes
@taherehat
@HilleyBruce
@backendpapa
@BabelfishStudio
which is good import pdb pdb.set_trace() or Editor debugger #pythonlearning #PyTorch #MachineLearning
if docker is not starting in windows run below command >wsl --set-default-version 2 #Docker
Note slicing using custom indices in pandas makes stop point to be inclusive. #Python #PythonProgramming #PythonCode #PythonCommunity #PythonDeveloper #100DaysOfCode #CodeNewbie #MachineLearning #DataScience #PyTorch #Django #Flask #Pandas #NumPy #ScikitLearn #JupyterNotebook
pandas.series().mean() --> will handle NaN values, that is it will exclude NaN during mean calculaiton. where as series.astype("init").values.mean()--> this will not exclude NaN values. #pythonprogramming #numpy
Ep. 384 Force push lightly ^^^ latest episode with @mkennedy and @brianokken, enjoy! #python pythonbytes.fm/episodes/show/…
Top 5 Kafka Use Cases Originally built for log processing, Kafka now powers a wide range of applications. Its durable message storage and flexible data access enables consumers to pull records at their convenience. Here are some popular Kafka use cases: - 𝗟𝗼𝗴…
FastAPI now comes with the standard dependencies (including what is needed to optimize performance), you can opt out by installing fastapi-slim instead of fastapi. 🚀
what is need of combining Annotated with Query feature in FastAPI, can't it be handled in Query itself. #Python @FastAPI
Adaboost nilearn.com/2024/03/11/ada… #Python #MachineLearning #DataScientists #ArtificialIntelligence
Gradient Descent optimisers nilearn.com/2023/02/20/gra… #DataScience #MachineLearning
k-Nearest Neighbors Algorithm (K-NN) nilearn.com/2024/01/22/k-n… #DataScience #MachineLearning
Most complicated part in deep learning is measuring error #DeepLearning #DataScience #Python
Compared to pandas, Polars provides a more expressive syntax for creating complex data transformation pipelines. Every expression in Polars produces a new expression, and these expressions can be piped together.
Goal of neural netowrk is to predict. But without weights is there any neuarl netowrks? #DataScientist #MachineLearning #dataengineer
United States Trends
- 1. Chargers 42,2 B posts
- 2. Bengals 49,5 B posts
- 3. Herbert 26,6 B posts
- 4. Joe Burrow 11 B posts
- 5. #BaddiesMidwest 16 B posts
- 6. Chiefs 151 B posts
- 7. #CINvsLAC 6.969 posts
- 8. Josh Allen 64,8 B posts
- 9. Zac Taylor 2.677 posts
- 10. Bills 160 B posts
- 11. WWIII 144 B posts
- 12. McPherson 2.222 posts
- 13. Russia 724 B posts
- 14. Tee Higgins 2.922 posts
- 15. #SNFonNBC N/A
- 16. #WhoDey 1.445 posts
- 17. Harbaugh 12,7 B posts
- 18. #BoltUp 3.142 posts
- 19. 49ers 44,7 B posts
- 20. Money Mac N/A
Who to follow
-
David Adebanwo
@dave_O_A -
Rau Chipinde
@rauchips -
Docentric
@Docentric -
CodesHaveGravity
@AdisaDavid14 -
Stephen Adeniji
@steve_ade1407 -
るるる
@rururu3 -
Philomath
@Dami_sebolatan -
Emmanuel Nwabuodafi
@nwabuodafi -
ĈïpĥērÐæve 🔥
@CipherDave28 -
InGrys
@grys_in -
Aamir
@aamircodes -
Taher
@taherehat -
Bruce Hilley
@HilleyBruce -
Akeju Paul Moyosoreoluwa
@backendpapa -
BabelFish Software
@BabelfishStudio
Something went wrong.
Something went wrong.