Which language you use for data science?
Anonymous Poll
78%
PYTHON
5%
R
1%
Java
8%
Don't know anything about data science
8%
Any other language. [ I wouldn't recommend to do this. If you are noob, start learning python/R
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Which platform you use most to learn data science?
Anonymous Poll
24%
Kaggle
6%
GitHub
13%
Udemy or coursesra or both
17%
YouTube videos
26%
All of the above
2%
Any other platform
12%
Don't know anything [Then go for some YouTube videos and start learning from Udemy and coursera]
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Okay, so first I will like to know how much you know about data science. After knowing my subscribers, then only, I can give you recommendations, quizzes and resources on the basis of results of these polls
So, if possible do participate in polls and quizzes. Enjoy learning 👍👍
So, if possible do participate in polls and quizzes. Enjoy learning 👍👍
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If possible, share this channel link with your friends and family members who want to learn data science.
https://t.iss.one/datasciencefun
https://t.iss.one/datasciencefun
Telegram
Data Science & Machine Learning
Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free
For collaborations: @love_data
For collaborations: @love_data
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⭐⭐⭐ Advance Level Data science Projects ⭐⭐⭐
1) Identify your Digits Dataset : https://www.kaggle.com/c/digit-recognizer/data
2) Recommendation Engine : https://cseweb.ucsd.edu/~jmcauley/datasets.html
3) Visual QA : https://visualqa.org/download.html
4) Vox Celebrity : https://www.robots.ox.ac.uk/~vgg/data/voxceleb/
5) Breast cancer classification : https://www.kaggle.com/martinab/breast-cancer-classification-wisconsin-dataset
6) Traffic signals : https://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset
7) Image caption generator : https://academictorrents.com/details/9dea07ba660a722ae1008c4c8afdd303b6f6e53b
1) Identify your Digits Dataset : https://www.kaggle.com/c/digit-recognizer/data
2) Recommendation Engine : https://cseweb.ucsd.edu/~jmcauley/datasets.html
3) Visual QA : https://visualqa.org/download.html
4) Vox Celebrity : https://www.robots.ox.ac.uk/~vgg/data/voxceleb/
5) Breast cancer classification : https://www.kaggle.com/martinab/breast-cancer-classification-wisconsin-dataset
6) Traffic signals : https://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset
7) Image caption generator : https://academictorrents.com/details/9dea07ba660a722ae1008c4c8afdd303b6f6e53b
Kaggle
Digit Recognizer
Learn computer vision fundamentals with the famous MNIST data
❤5😁2👍1
👉The Ultimate Guide to the Pandas Library for Data Science in Python
https://www.freecodecamp.org/news/the-ultimate-guide-to-the-pandas-library-for-data-science-in-python/amp/
https://www.freecodecamp.org/news/the-ultimate-guide-to-the-pandas-library-for-data-science-in-python/amp/
freeCodeCamp.org
The Ultimate Guide to the Pandas Library for Data Science in Python
By Nick McCullum Pandas (which is a portmanteau of "panel data") is one of the most important packages to grasp when you’re starting to learn Python. The package is known for a very useful data structure called the pandas DataFrame. Pandas also allow...
❤4
1) https://github.com/academic/awesome-datascience
2) https://github.com/MrMimic/data-scientist-roadmap
3) https://github.com/tirthajyoti/Data-science-best-resources/blob/master/README.md
4) https://github.com/abhat222/Data-Science--Cheat-Sheet
5) https://github.com/FavioVazquez/ds-cheatsheets
6) https://github.com/jonathan-bower/DataScienceResources
7) https://github.com/rushter/data-science-blogs
8) https://github.com/chaconnewu/free-data-science-books
9) https://github.com/Leo-G/Data-Science-Wiki
2) https://github.com/MrMimic/data-scientist-roadmap
3) https://github.com/tirthajyoti/Data-science-best-resources/blob/master/README.md
4) https://github.com/abhat222/Data-Science--Cheat-Sheet
5) https://github.com/FavioVazquez/ds-cheatsheets
6) https://github.com/jonathan-bower/DataScienceResources
7) https://github.com/rushter/data-science-blogs
8) https://github.com/chaconnewu/free-data-science-books
9) https://github.com/Leo-G/Data-Science-Wiki
GitHub
GitHub - academic/awesome-datascience: :memo: An awesome Data Science repository to learn and apply for real world problems.
:memo: An awesome Data Science repository to learn and apply for real world problems. - academic/awesome-datascience
😁1
AN INTERESTING DEEP LEARNING PROJECT
https://data-flair.training/blogs/create-emoji-with-deep-learning/
https://data-flair.training/blogs/create-emoji-with-deep-learning/
DataFlair
Emojify - Create your own emoji with Deep Learning - DataFlair
Create your own emoji with deep learning. In this deep learning project, we will classify human facial expressions to filter and map corresponding emojis or avatars.
What is your level in data science?
Anonymous Poll
51%
Noob[Don't know much about this field but want to learn from scratch]
3%
Pro level[Expert in this field]
30%
Beginner [Having basic idea from YouTube videos]
14%
Intermediate [Having complete knowledge but not started any project yet]
2%
Advanced [Done many projects]
🥰3
We have decided to help you in starting your data science journey.
Which language you prefer to watch YouTube videos?
Which language you prefer to watch YouTube videos?
Anonymous Poll
77%
English
6%
Hindi
17%
Mix of English and hindi
This is a very good hands-on tutorial to learn all the components of web scraping.
https://us.pycon.org/2020/schedule/presentation/72/
https://us.pycon.org/2020/schedule/presentation/72/
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Data Science & Machine Learning pinned «What is your level in data science?»
TOP 10 SQL Concepts for Job Interview
1. Aggregate Functions (SUM/AVG)
2. Group By and Order By
3. JOINs (Inner/Left/Right)
4. Union and Union All
5. Date and Time processing
6. String processing
7. Window Functions (Partition by)
8. Subquery
9. View and Index
10. Common Table Expression (CTE)
TOP 10 Statistics Concepts for Job Interview
1. Sampling
2. Experiments (A/B tests)
3. Descriptive Statistics
4. p-value
5. Probability Distributions
6. t-test
7. ANOVA
8. Correlation
9. Linear Regression
10. Logistics Regression
TOP 10 Python Concepts for Job Interview
1. Reading data from file/table
2. Writing data to file/table
3. Data Types
4. Function
5. Data Preprocessing (numpy/pandas)
6. Data Visualisation (Matplotlib/seaborn/bokeh)
7. Machine Learning (sklearn)
8. Deep Learning (Tensorflow/Keras/PyTorch)
9. Distributed Processing (PySpark)
10. Functional and Object Oriented Programming
#DataScienceWithDrAngshu #DataScience #Analytics #BigData #MachineLearning #ArtificialIntelligence #Python #SQL #Statistics #DataVisualisation #Experiments #Interview #Job
1. Aggregate Functions (SUM/AVG)
2. Group By and Order By
3. JOINs (Inner/Left/Right)
4. Union and Union All
5. Date and Time processing
6. String processing
7. Window Functions (Partition by)
8. Subquery
9. View and Index
10. Common Table Expression (CTE)
TOP 10 Statistics Concepts for Job Interview
1. Sampling
2. Experiments (A/B tests)
3. Descriptive Statistics
4. p-value
5. Probability Distributions
6. t-test
7. ANOVA
8. Correlation
9. Linear Regression
10. Logistics Regression
TOP 10 Python Concepts for Job Interview
1. Reading data from file/table
2. Writing data to file/table
3. Data Types
4. Function
5. Data Preprocessing (numpy/pandas)
6. Data Visualisation (Matplotlib/seaborn/bokeh)
7. Machine Learning (sklearn)
8. Deep Learning (Tensorflow/Keras/PyTorch)
9. Distributed Processing (PySpark)
10. Functional and Object Oriented Programming
#DataScienceWithDrAngshu #DataScience #Analytics #BigData #MachineLearning #ArtificialIntelligence #Python #SQL #Statistics #DataVisualisation #Experiments #Interview #Job
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Udemy
All-in-One:Machine Learning,DL,NLP,AWS Deply [Hindi][Python]
Complete hands-on Machine Learning Course with Data Science, NLP, Deep Learning and Artificial Intelligence