🏆 Top results in the quiz 'Data Science Quiz'
One new name among winners
Core X emerged as this round champion 🍾

🤓 251 people took the quiz

🥇 Core X – 8 (15 sec)
🥈 Jagan Reddy – 8 (19.4 sec)
🥉 @DarkAngeI7887 – 8 (30 sec)
4. @mutaician0 – 8 (38.3 sec)
5. @Olamilekan_ayinde – 8 (41.6 sec)
6. @Eraullux – 8 (45.3 sec)
7. @Kdrakex – 8 (46.1 sec)
8. X M – 8 (49 sec)
9. Neha K – 8 (51.5 sec)
10. @santhu15 – 8 (53.9 sec)
11. @mk_12077 – 8 (56 sec)
12. @CosmicDust1 – 8 (1 min 1 sec)
13. mr unknown – 8 (1 min 6 sec)
14. Helario H – 8 (1 min 14 sec)
15. @FutureMillionaire03 – 8 (1 min 14 sec)
16. @Adilkhatik – 8 (1 min 30 sec)
17. @ycx1205 – 8 (1 min 30 sec)
18. @puneetc30 – 8 (1 min 33 sec)
19. Python Programmer – 8 (2 min 5 sec)
20. @EvertonCSantana – 8 (2 min 13 sec)

Next (and last) round:
C/C++/OOP Quiz
End date: March 3nd (Sunday)

Explore Population Pyramids with Python and Web Applications

Let's Understand Past, Present and Future Population Growth Using Python and Port our Findings to the Web for the World!

Rating ⭐️: 4.6 out 5
Students 👨‍🎓 : 9652
Duration ⏰ : 1hr 4min on-demand video
Created by 👨‍🏫: Manuel Amunategui

🔗 Course Link


#Data_Science #python
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
👉Join @bigdataspecialist for more👈

🔥WEBSITES TO GET FREE DATA SCIENCE CERTIFICATIONS🔥

👌. Kaggle: http://kaggle.com

👌. freeCodeCamp: http://freecodecamp.org

👌. Cognitive Class: http://cognitiveclass.ai

👌. Microsoft Learn: http://learn.microsoft.com

👌. Google's Learning Platform: https://developers.google.com/learn

➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group

Dear Community,

It's become challenging to balance content creation alongside my full-time job and creation of app that will give you any course for free - I am working on that after work for previous 8 months).
This is why I've assembled a team (15 people atm) to help. They're compensated from my own pocket, so I decided to occasionally post some ads to at least reduce the costs of maintaining our community a little bit.

Rest assured, any ads will be clearly labeled, and I'll give my best to filter out any scams.

Thank you for your support and understanding!

For any questions feel free to contact me directly at @mldatascientist

Warm regards,
Big Data specialist

Top🔥10 Computer Vision 🔥Project Ideas 🔥

1. Edge Detection
2. Photo Sketching
3. Detecting Contours
4. Collage Mosaic Generator
5. Barcode and QR Code Scanner
6. Face Detection
7. Blur the Face
8. Image Segmentation
9. Human Counting with OpenCV
10. Colour Detection

➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group

Scientific Data Processing
by Google Cloud Platform

Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.

Syllabus includes following topics:
Introduction to SQL for BigQuery and Cloud SQL
Rent-a-VM to Process Earthquake Data
Weather Data in BigQuery
Distributed Image Processing in Cloud Dataproc
Analyzing Natality Data Using Vertex AI and BigQuery
Predict Baby Weight with TensorFlow on AI Platform


🆓 Free Online Course
⏰ Duration : More than 6 hour
🏃‍♂️ Self paced
✅ Certification available

Course Link


#data #processing #data_science
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
👉Join @bigdataspecialist for more👈

Data Science Cheat sheet 2.0

A helpful 5-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between. It covers over a semester of introductory machine learning, and is based on MIT's Machine Learning courses 6.867 and 15.072. The reader should have at least a basic understanding of statistics and linear algebra, though beginners may find this resource helpful as well.

Creator: Aaron Wang
Stars ⭐️: 4.5k
Forked By: 645
https://github.com/aaronwangy/Data-Science-Cheatsheet

#datascience
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool repositories.
*This channel belongs to @bigdataspecialist group

Some Helpful Data Science Projects for Beginners

https://www.kaggle.com/c/house-prices-advanced-regression-techniques

https://www.kaggle.com/c/digit-recognizer

https://www.kaggle.com/c/titanic

Intermediate Level Data science Projects

Black Friday Data : https://www.kaggle.com/sdolezel/black-friday

Human Activity Recognition Data : https://www.kaggle.com/uciml/human-activity-recognition-with-smartphones

Trip History Data : https://www.kaggle.com/pronto/cycle-share-dataset

Million Song Data : https://www.kaggle.com/c/msdchallenge

Census Income Data : https://www.kaggle.com/c/census-income/data

Movie Lens Data : https://www.kaggle.com/grouplens/movielens-20m-dataset

Twitter Classification Data : https://www.kaggle.com/c/twitter-sentiment-analysis2

Text mining : https://www.kaggle.com/kanncaa1/applying-text-mining

➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group

What is data science

Data science, in its most basic terms, can be defined as obtaining insights and information, really anything of value, out of data. Like any new field, it's often tempting but counterproductive to try to put concrete bounds on its definition. This is data science. This is not. In reality, data science is evolving so fast and has already shown such enormous range of possibility that a wider definition is essential to understanding it.

And while it's hard to pin down a specific definition, it's quite easy to see and feel its impact. Data science, when applied to different fields can lead to incredible new insights. And the folks that are using it are already reaping the benefits…

It has become ubiquitous, even more so for people who work in tech. We've gone so far as to personify data in everyday conversation. We ask what it means, what it says. But do we even know what it is?

In the context of data science, the only form of data that matters is digital data.

Digital data is information that is not easily interpreted by an individual but instead relies on machines to interpret, process, and alter it. The words you are reading on your computer screen are an example of this. These digital letters are actually a systematic collection of ones and zeros that encodes to pixels in various hues and at a specific density.

🔗 Read More

➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group

Learn Statistical Data Analysis with Python

Perform Statistical Data Analysis Techniques with the Python Programming Language. Practice Notebook included.

Rating ⭐️: 4.1 out 5
Students 👨‍🎓 : 4,234
Duration ⏰ : 1hr 2min of on-demand video
Created by 👨‍🏫: Valentine Mwangi

🔗 Course Link


#datascience #dataanalysis #python
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
👉Join @datascience_bds for more👈