https://github.com/baptvit/artificial_intelligence
My courses and activities in Artificial Intelligence
https://github.com/baptvit/artificial_intelligence
data-science deep-learning excel machine-learning python r
Last synced: 12 months ago
JSON representation
My courses and activities in Artificial Intelligence
- Host: GitHub
- URL: https://github.com/baptvit/artificial_intelligence
- Owner: baptvit
- License: mit
- Created: 2019-01-02T23:05:50.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2020-01-31T00:45:52.000Z (over 6 years ago)
- Last Synced: 2025-04-07T15:52:32.316Z (about 1 year ago)
- Topics: data-science, deep-learning, excel, machine-learning, python, r
- Language: Jupyter Notebook
- Homepage:
- Size: 53.3 MB
- Stars: 4
- Watchers: 0
- Forks: 1
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Learning Data Science
#### Course base
This is the Curriculum for [Learn Data in 3 Science Months](https://youtu.be/9rDhY1P3YLA) by Siraj,[Dreams in the CodingTrain](https://github.com/CodingTrain/Machine-Learning) Raval and [Roadmap: How to Learn Machine Learning in 6 Months](https://www.youtube.com/watch?v=MOdlp1d0PNA) by Zach Miller.
# Resource attributes
Since resources across the internet vary in terms of their pre-requisites and general accessibility, it is useful to
give attributes to them so that it is easy to understand where a resource fits into the wider machine learning scope. Below is a few suggested attributes (please extend):
- :blue_book: = Doing
- :heavy_check_mark: = Completed
- :rainbow: = creative
- :bowtie: = beginner
- :sweat_smile: = intermediate, some pre-requisites
- :godmode: = advanced, many pre-requisites
#### Tools Used
- Python, SQL, R, Tensorflow,Spark, Excel
### Accelerated Learning Techniques
- Watch videos at 2x or 3x speed using a browser extension
- Handwrite notes as you watch for memory retention
- Immerse yourself in the [community](https://medium.com/@exastax/top-20-data-science-blogs-and-websites-for-data-scientists-d88b7d99740)
# Data Analysis
## Learn basics data analysis with Excel -
- [Microsoft: DAT206x - Analyzing and Visualizing Data with Excel](https://courses.edx.org/courses/course-v1:Microsoft+DAT206x+1T2018a/course/) [RESULTS](https://github.com/helpthx/Data_Science/tree/master/EdX/Microsoft%20Courses/Microsoft:%20Professional%20Certificate%20in%20Excel%20Fundamentals/Microsoft:%20DAT206x%20-%20Analyzing%20and%20Visualizing%20Data%20with%20Excel) :heavy_check_mark:
- [Microsoft: DAT101x - Introduction to Data Science](https://courses.edx.org/courses/course-v1:Microsoft+DAT101x+1T2018a/course/) [RESULTS](https://github.com/helpthx/Data_Science/tree/master/EdX/Microsoft%20Courses/Microsoft:%20DAT101x%20-%20Introduction%20to%20Data%20Science):heavy_check_mark:
## Learn Python -
- [GTx: CSE6040x - FA18: Computing for Data Analysis](https://courses.edx.org/courses/course-v1:GTx+CSE6040x+2T2019/course/) [RESULTS](https://github.com/helpthx/Data_Science/tree/master/EdX/GTx:%20CSE6040x:%20FA18%20-%20Computing%20for%20Data%20Analysis) :heavy_check_mark:
- [Siraj Raval](https://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU) :heavy_check_mark:
## Learn R -
- [Harvard University: Professional Certificate in Data Science](https://www.edx.org/professional-certificate/harvardx-data-science) [RESULTS](https://github.com/helpthx/Data_Science/tree/master/EdX/Harvard%20University:%20Professional%20Certificate%20in%20Data%20Science) :blue_book:
## Statistics & Probability
- [KhanAcademy](https://www.khanacademy.org/math/statistics-probability) :blue_book:
## Data Pre-processing, Data Visualization, Exploratory Data Analysis
- [GTx: CSE6040x - FA18: Computing for Data Analysis](https://courses.edx.org/courses/course-v1:GTx+CSE6040x+2T2019/course/) [RESULTS](https://github.com/helpthx/Data_Science/tree/master/EdX/GTx:%20CSE6040x:%20FA18%20-%20Computing%20for%20Data%20Analysis) :heavy_check_mark:
# Machine Learning
#### Math of Machine Learning Cheat Sheets
- [Statistics](http://web.mit.edu/~csvoss/Public/usabo/stats_handout.pdf)
- [Probability](https://static1.squarespace.com/static/54bf3241e4b0f0d81bf7ff36/t/55e9494fe4b011aed10e48e5/1441352015658/probability_cheatsheet.pdf)
- [Calculus](http://tutorial.math.lamar.edu/pdf/Calculus_Cheat_Sheet_All.pdf)
- [Linear Algebra](https://www.souravsengupta.com/cds2016/lectures/Savov_Notes.pdf)
## Algorithms & Machine Learning
- #### [Applied Data Science with Python](https://cognitiveclass.ai/learn/data-science-with-python/)
- [Python for Data Science](https://cognitiveclass.ai/courses/python-for-data-science/) [RESULTS](https://github.com/helpthx/Data_Science/blob/master/Cognitive_Class_IBM/Applied_Data_Science_with_Python/Cognitiveclass%20PY0101EN%20Certificate%20_%20Cognitive%20Class.pdf) :heavy_check_mark:
- [Data Analysis with Python](https://cognitiveclass.ai/courses/data-analysis-python/) [RESULTS](https://github.com/helpthx/Data_Science/blob/master/Cognitive_Class_IBM/Applied_Data_Science_with_Python/CognitiveClass%20DA0101EN%20Certificate%20_%20Cognitive%20Class.pdf) :heavy_check_mark:
- [Data Visualization with Python](https://cognitiveclass.ai/courses/data-visualization-with-python/) [RESULTS](https://github.com/helpthx/Data_Science/blob/master/Cognitive_Class_IBM/Applied_Data_Science_with_Python/Cognitive%20Class%20DV0101EN%20Certificate%20_%20Cognitive%20Class.pdf) :heavy_check_mark:
- [Machine Learning with Python](https://cognitiveclass.ai/courses/machine-learning-with-python/) [RESULTS](https://github.com/helpthx/Data_Science/blob/master/Cognitive_Class_IBM/Applied_Data_Science_with_Python/Cognitive%20Class%20ML0101ENv3%20Certificate%20_%20Cognitive%20Class.pdf) :heavy_check_mark:
- [Columbia](https://courses.edx.org/courses/course-v1:ColumbiaX+DS102X+2T2018/course/)
## Deep Learning
- #### Deep Learning path from cognitive.ia IBM
- [Deep Learning Fundamentals](https://cognitiveclass.ai/courses/introduction-deep-learning/) [RESULTS](https://github.com/helpthx/Data_Science/blob/master/Cognitive_Class_IBM/Deep_Learning/DeepLearning.TV%20ML0115EN%20Certificate%20_%20Cognitive%20Class.pdf):heavy_check_mark:
- [Deep Learning with TensorFlow](https://cognitiveclass.ai/courses/deep-learning-tensorflow/) [RESULTS](https://github.com/helpthx/Data_Science/blob/master/Cognitive_Class_IBM/Deep_Learning/CognitiveClass%20ML0120ENv2%20Certificate%20_%20Cognitive%20Class.pdf):heavy_check_mark:
- [Accelerating Deep Learning with GPU](https://cognitiveclass.ai/courses/accelerating-deep-learning-gpu/) [RESULTS](https://github.com/helpthx/Data_Science/blob/master/Cognitive_Class_IBM/Deep_Learning/CognitiveClass%20ML0122ENv1%20Certificate%20_%20Cognitive%20Class.pdf) :heavy_check_mark:
- [IBM DL0101EN - Deep Learning Fundamentals with Keras](https://www.edx.org/course/deep-learning-fundamentals-with-keras) [RESULTS](https://github.com/helpthx/Data_Science/blob/master/EdX/IBM%20DL0101EN%20-%20Deep%20Learning%20Fundamentals%20with%20Keras/final_progress.png) :heavy_check_mark:
- [IBM DL0110EN - Deep Learning with Python and PyTorch](https://www.edx.org/course/deep-learning-with-python-and-pytorch) :blue_book:
- [Part 1 and 2 of DL Book](https://www.deeplearningbook.org/)
- [Siraj Raval](https://www.youtube.com/watch?v=vOppzHpvTiQ&list=PL2-dafEMk2A7YdKv4XfKpfbTH5z6rEEj3)
# Real-World Tools
## Databases (SQL + NoSQL)
- [KhanAcademy](https://www.khanacademy.org/computing/computer-programming/sql) :blue_book:
- [M001: MongoDB Basics](https://university.mongodb.com/mercury/M001/2019_January_2/overview) [RESULTS](https://github.com/helpthx/MongoDB_University/tree/master/M001:%20MongoDB%20Basics) :heavy_check_mark:
- [Microsoft: DAT240x Using Non-Relational Data in SQL Server](https://courses.edx.org/courses/course-v1:Microsoft+DAT240x+2T2018) :blue_book:
- [Microsoft: DAT221x Introduction to NoSQL Data Solutions](https://courses.edx.org/courses/course-v1:Microsoft+DAT221x+1T2019) [RESULTS](https://github.com/helpthx/Data_Science/tree/master/EdX/Microsoft:%20DAT221x%20-%20Introduction%20to%20NoSQL%20Data%20Solutions) :heavy_check_mark:
- [Modelagem de dados](https://www.ev.org.br/Cursos?fbclid=IwAR1ctGjJbtF_q_mI7aMcW7Yee0ym7v7Yo9XP31Dhse4KgfOc89IKpD2Eo10) [RESULTS](https://github.com/helpthx/Data_Science/tree/master/Escola_Virtual_Funda%C3%A7%C3%A3o_Bradesco/Modelagem%20de%20dados) :heavy_check_mark:
- [Implementando Banco de dados](https://www.ev.org.br/Cursos?fbclid=IwAR1ctGjJbtF_q_mI7aMcW7Yee0ym7v7Yo9XP31Dhse4KgfOc89IKpD2Eo10) [RESULTS](https://github.com/helpthx/Data_Science/tree/master/Escola_Virtual_Funda%C3%A7%C3%A3o_Bradesco/Implementando%20banco%20de%20dados) :heavy_check_mark: