Intro to Machine Learning
by Kaggle
Learn the core ideas in machine learning, and build your first models.
1 How Models Work
The first step if you're new to machine learning.
2 Basic Data Exploration
Load and understand your data.
3 Your First Machine Learning Model
Building your first model. Hurray!
4 Model Validation
Measure the performance of your model, so you can test and compare alternatives.
5 Underfitting and Overfitting
Fine-tune your model for better performance.
6 Random Forests
Using a more sophisticated machine learning algorithm.
7 Machine Learning Competitions
Enter the world of machine learning competitions to keep improving and see your progress.
π Course link
#machinelearning #ml
ββββββββββββββ
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
by Kaggle
Learn the core ideas in machine learning, and build your first models.
1 How Models Work
The first step if you're new to machine learning.
2 Basic Data Exploration
Load and understand your data.
3 Your First Machine Learning Model
Building your first model. Hurray!
4 Model Validation
Measure the performance of your model, so you can test and compare alternatives.
5 Underfitting and Overfitting
Fine-tune your model for better performance.
6 Random Forests
Using a more sophisticated machine learning algorithm.
7 Machine Learning Competitions
Enter the world of machine learning competitions to keep improving and see your progress.
π Course link
#machinelearning #ml
ββββββββββββββ
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
Kaggle
Learn Intro to Machine Learning Tutorials
Learn the core ideas in machine learning, and build your first models.
Reproducible Data Science with Docker
https://archive.org/details/pyconza2018-Reproducible_Data_Science_with_Docker
https://archive.org/details/pyconza2018-Reproducible_Data_Science_with_Docker
Internet Archive
Reproducible Data Science with Docker : Richard Ackon : Free Download, Borrow, and Streaming : Internet Archive
Richard Ackon https://2018.za.pycon.org/talks/48-reproducible-data-science-with-docker/ Collaboration is a major part of doing Data Science. This means Data...
The R Programming For Data Science A-Z Complete Diploma 2022
Rating βοΈ: 4.5 out of 5
Students π¨βπ: 38,584
Duration β°: 5h 6min
π Course link
Free for first 1000 enrollments
Rating βοΈ: 4.5 out of 5
Students π¨βπ: 38,584
Duration β°: 5h 6min
π Course link
Free for first 1000 enrollments
Udemy
Data Science: R Programming Complete Diploma 2023
Learn all the R skills you need to become a Professional and Certified R Programmer with this Complete Bootcamp
Forwarded from Free programming books
Please open Telegram to view this post
VIEW IN TELEGRAM
Knowledge Graphs Course
Data Models, Knowledge Acquisition, Inference and Applications
Department of Computer Science, Stanford University, Spring 2021
β³10 weeks, each week has slides and video lessons π½
https://web.stanford.edu/class/cs520/
#datascience #machinelearning #tensorflow #scikitlearn #keras
βββββββββββββ
Join @programming_books_bds for more
Data Models, Knowledge Acquisition, Inference and Applications
Department of Computer Science, Stanford University, Spring 2021
β³10 weeks, each week has slides and video lessons π½
https://web.stanford.edu/class/cs520/
#datascience #machinelearning #tensorflow #scikitlearn #keras
βββββββββββββ
Join @programming_books_bds for more
Forwarded from Cool GitHub repositories
data-science
This is a path for those of you who want to complete the Data Science undergraduate curriculum on your own time, for free, with courses from the best universities in the World.
Creator: ossu
Stars βοΈ: 14.5k
Forked By: 2.6k
GithubRepo:https://github.com/ossu/data-science
ββββββββββββββ
Join @github_repositories_bds for more cool repositories.
*This channel belongs to @bigdataspecialist group
This is a path for those of you who want to complete the Data Science undergraduate curriculum on your own time, for free, with courses from the best universities in the World.
Creator: ossu
Stars βοΈ: 14.5k
Forked By: 2.6k
GithubRepo:https://github.com/ossu/data-science
ββββββββββββββ
Join @github_repositories_bds for more cool repositories.
*This channel belongs to @bigdataspecialist group
GitHub
GitHub - ossu/data-science: π Path to a free self-taught education in Data Science!
π Path to a free self-taught education in Data Science! - ossu/data-science
When to Choose CatBoost Over XGBoost or LightGBM [Practical Guide]
Boosting algorithms have become one of the most powerful algorithms for training on structural (tabular) data.
I have been working with these 3 for years, even my bachelor thesis was comparison of these 3 algorithms alongside AdaBoost. This article explains when to use CatBoost over other ones.
https://neptune.ai/blog/when-to-choose-catboost-over-xgboost-or-lightgbm
ββββββββββββββ
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
Boosting algorithms have become one of the most powerful algorithms for training on structural (tabular) data.
I have been working with these 3 for years, even my bachelor thesis was comparison of these 3 algorithms alongside AdaBoost. This article explains when to use CatBoost over other ones.
https://neptune.ai/blog/when-to-choose-catboost-over-xgboost-or-lightgbm
ββββββββββββββ
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
neptune.ai
When to Choose CatBoost Over XGBoost or LightGBM [Practical Guide]
Compare CatBoost with XGBoost and LightGBM in performance and speed; a practical guide to gradient boosting selection.
Data Analysis free courses
The Analytics Edge (Spring 2017)
by MIT
π¬ 193 video lessons
β° 16 hours worth of material
π Courses link
Statistics and data literacy for non-statisticians
Rating βοΈ: 4.7 out of 5
Students π¨βπ: 13,320
Duration β°: 1h 36min
Teacher: Mike X Cohen
π Courses link
Data Analysis with Python courses
by freeCodeCamp
[
Data Analysis with Python
π¬ 28 video lessons
Numpy
π¬ 9 video lessons
Data Analysis with Python Projects
π 5 projects
π Courses link
]
Data Analysis w/ Python 3 and Pandas
by sentdex
π¬ 6 video lessons
β° 2-3 hours worth of material
π Course link
Master Data Analysis with Python - Intro to Pandas 2022
Rating βοΈ: 4.6 out of 5
Students π¨βπ: 3,828
Duration β°: 1hr 49min
Teacher: Ted Petrou
π Courses link
Learn to code for data analysis
by OpenLearn
β³ 8 weeks
π Course link
Lecture notes from Statistical Thinking and Data Analysis
by MIT
π Notes link
Python for Data Analysis
Rating βοΈ: 4.2 out of 5
Students π¨βπ: 14,168
Duration β°: 1h 10min
Teacher: Bob Wakefield
π Courses link
Prepare data for analysis
by Microsoft
π2 modules
Get data in Power BI - 12 Units
Clean, transform, and load data in Power BI - 10 Units
Duration β°: 3 hr 26 min
π Course link
NOC:Data Analysis and Decision Making - I, IIT Kanpur
NOC:Data Analysis & Decision Making - II, IIT Kanpur
NOC:Data Analysis & Decision Making - III, IIT Kanpur
π¨βπ« Prof. Raghunandan Sengupta
Each of 3 parts lasts β³12 weeks!
#datanalysis #dataanalysis #datascience #powerbi #dataanalytics
ββββββββββββββ
πJoin @bigdataspecialist for moreπ
The Analytics Edge (Spring 2017)
by MIT
π¬ 193 video lessons
β° 16 hours worth of material
π Courses link
Statistics and data literacy for non-statisticians
Rating βοΈ: 4.7 out of 5
Students π¨βπ: 13,320
Duration β°: 1h 36min
Teacher: Mike X Cohen
π Courses link
Data Analysis with Python courses
by freeCodeCamp
[
Data Analysis with Python
π¬ 28 video lessons
Numpy
π¬ 9 video lessons
Data Analysis with Python Projects
π 5 projects
π Courses link
]
Data Analysis w/ Python 3 and Pandas
by sentdex
π¬ 6 video lessons
β° 2-3 hours worth of material
π Course link
Master Data Analysis with Python - Intro to Pandas 2022
Rating βοΈ: 4.6 out of 5
Students π¨βπ: 3,828
Duration β°: 1hr 49min
Teacher: Ted Petrou
π Courses link
Learn to code for data analysis
by OpenLearn
β³ 8 weeks
π Course link
Lecture notes from Statistical Thinking and Data Analysis
by MIT
π Notes link
Python for Data Analysis
Rating βοΈ: 4.2 out of 5
Students π¨βπ: 14,168
Duration β°: 1h 10min
Teacher: Bob Wakefield
π Courses link
Prepare data for analysis
by Microsoft
π2 modules
Get data in Power BI - 12 Units
Clean, transform, and load data in Power BI - 10 Units
Duration β°: 3 hr 26 min
π Course link
NOC:Data Analysis and Decision Making - I, IIT Kanpur
NOC:Data Analysis & Decision Making - II, IIT Kanpur
NOC:Data Analysis & Decision Making - III, IIT Kanpur
π¨βπ« Prof. Raghunandan Sengupta
Each of 3 parts lasts β³12 weeks!
#datanalysis #dataanalysis #datascience #powerbi #dataanalytics
ββββββββββββββ
πJoin @bigdataspecialist for moreπ
Sorry I haven't forwarded it earlier, this post belongs to this channel as well. π
Python Machine Learning (3rd Ed.) Code Repository
Paperback: 770 pages
Publisher: Packt Publishing
Language: English
https://github.com/rasbt/python-machine-learning-book-3rd-edition
ββββββββββββββ
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
Paperback: 770 pages
Publisher: Packt Publishing
Language: English
https://github.com/rasbt/python-machine-learning-book-3rd-edition
ββββββββββββββ
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
GitHub
GitHub - rasbt/python-machine-learning-book-3rd-edition: The "Python Machine Learning (3rd edition)" book code repository
The "Python Machine Learning (3rd edition)" book code repository - rasbt/python-machine-learning-book-3rd-edition
Few Numpy Tutorials
Python NumPy Tutorial β Learn NumPy Arrays With Examples
https://www.edureka.co/blog/python-numpy-tutorial/
Python Numpy Tutorial (with Jupyter and Colab)
https://cs231n.github.io/python-numpy-tutorial/
NumPy fundamentals (official docs)
https://numpy.org/doc/stable/user/basics.html
#numpy
ββββββββββββββ
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
Python NumPy Tutorial β Learn NumPy Arrays With Examples
https://www.edureka.co/blog/python-numpy-tutorial/
Python Numpy Tutorial (with Jupyter and Colab)
https://cs231n.github.io/python-numpy-tutorial/
NumPy fundamentals (official docs)
https://numpy.org/doc/stable/user/basics.html
#numpy
ββββββββββββββ
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
Edureka
Python Numpy Tutorial | Learn Numpy Arrays With Examples | Edureka
This python numpy tutorial blog includes all the basics of Python, its various operations, special functions and why it is preferred over the list.
Top 8 Github Repos to Learn Data Science and Python
1. All algorithms implemented in Python
By: The Algorithms
Stars βοΈ: 135K
Fork: 35.3K
Repo: https://github.com/TheAlgorithms/Python
2. DataScienceResources
By: jJonathan Bower
Stars βοΈ: 3K
Fork: 1.3K
Repo: https://github.com/jonathan-bower/DataScienceResources
3. Playground and Cheatsheet for Learning Python
By: Oleksii Trekhleb ( Also the Image)
Stars βοΈ: 12.5K
Fork: 2K
Repo: https://github.com/trekhleb/learn-python
4. Learn Python 3
By: Jerry Pussinen
Stars βοΈ: 4,8K
Fork: 1,4K
Repo: https://github.com/jerry-git/learn-python3
5. Awesome Data Science
By: Fatih AktΓΌrk, HΓΌseyin Mert & Osman Ungur, Recep Erol.
Stars βοΈ: 18.4K
Fork: 5K
Repo: https://github.com/academic/awesome-datascience
6. data-scientist-roadmap
By: MrMimic
Stars βοΈ: 5K
Fork: 1.5K
Repo: https://github.com/MrMimic/data-scientist-roadmap
7. Data Science Best Resources
By: Tirthajyoti Sarkar
Stars βοΈ: 1.8K
Fork: 717
Repo: https://github.com/tirthajyoti/Data-science-best-resources/blob/master/README.md
8. Ds-cheatsheets
By: Favio AndrΓ© VΓ‘zquez
Stars βοΈ: 10.4K
Fork: 3.1K
Repo: https://github.com/FavioVazquez/ds-cheatsheets
ββββββββββββββ
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
1. All algorithms implemented in Python
By: The Algorithms
Stars βοΈ: 135K
Fork: 35.3K
Repo: https://github.com/TheAlgorithms/Python
2. DataScienceResources
By: jJonathan Bower
Stars βοΈ: 3K
Fork: 1.3K
Repo: https://github.com/jonathan-bower/DataScienceResources
3. Playground and Cheatsheet for Learning Python
By: Oleksii Trekhleb ( Also the Image)
Stars βοΈ: 12.5K
Fork: 2K
Repo: https://github.com/trekhleb/learn-python
4. Learn Python 3
By: Jerry Pussinen
Stars βοΈ: 4,8K
Fork: 1,4K
Repo: https://github.com/jerry-git/learn-python3
5. Awesome Data Science
By: Fatih AktΓΌrk, HΓΌseyin Mert & Osman Ungur, Recep Erol.
Stars βοΈ: 18.4K
Fork: 5K
Repo: https://github.com/academic/awesome-datascience
6. data-scientist-roadmap
By: MrMimic
Stars βοΈ: 5K
Fork: 1.5K
Repo: https://github.com/MrMimic/data-scientist-roadmap
7. Data Science Best Resources
By: Tirthajyoti Sarkar
Stars βοΈ: 1.8K
Fork: 717
Repo: https://github.com/tirthajyoti/Data-science-best-resources/blob/master/README.md
8. Ds-cheatsheets
By: Favio AndrΓ© VΓ‘zquez
Stars βοΈ: 10.4K
Fork: 3.1K
Repo: https://github.com/FavioVazquez/ds-cheatsheets
ββββββββββββββ
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
GitHub
GitHub - TheAlgorithms/Python: All Algorithms implemented in Python
All Algorithms implemented in Python. Contribute to TheAlgorithms/Python development by creating an account on GitHub.
The Data Science Interview Study Guide
Preparing for a job interview can be a full-time job, and Data Science interviews are no different. Here are 121 resources that can help you study and quiz your way to landing your dream data science job.
https://www.kdnuggets.com/2020/01/data-science-interview-study-guide.html
Preparing for a job interview can be a full-time job, and Data Science interviews are no different. Here are 121 resources that can help you study and quiz your way to landing your dream data science job.
https://www.kdnuggets.com/2020/01/data-science-interview-study-guide.html
KDnuggets
The Data Science Interview Study Guide
Preparing for a job interview can be a full-time job, and Data Science interviews are no different. Here are 121 resources that can help you study and quiz your way to landing your dream data science job.