└── README.md


/README.md:
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 1 | # Machine Learning Engineer Roadmap
 2 | 
 3 | ### Hello Ai Engineers of future this roadmap specify AI Track we will talk about: 
 4 | - what are levels of the Track ? 
 5 | - what is resources to learn ? 
 6 | - what are projects to do ? 
 7 | - other resources 
 8 | 
 9 | 
10 | ## Level one (Basics - Mathematics): 
11 | ### Linear Algebra
12 | - [freecodecamp](https://www.youtube.com/watch?v=rSjt1E9WHaQ)
13 | - [Coursera: Mathematics Specialization](https://www.coursera.org/specializations/mathematics-machine-learning#courses)
14 | 
15 | ### Calculus
16 | - [Coursera: Differential Calculus](https://www.coursera.org/learn/algebra-and-differential-calculus-for-data-science#syllabus)
17 |   
18 | ### Statistics
19 | - [Coursera](https://www.coursera.org/learn/stanford-statistics#syllabus)
20 | - [freecodecamp](https://www.youtube.com/watch?v=xxpc-HPKN28)
21 |   
22 | ## Level one (Basics - Programming): 
23 | ### Python
24 | - [Elzero Web School](https://youtube.com/playlist?list=PLDoPjvoNmBAyE_gei5d18qkfIe-Z8mocs&si=ypysHAllTf8WkKZ2)
25 | - [Codezilla](https://youtube.com/playlist?list=PLuXY3ddo_8nzrO74UeZQVZOb5-wIS6krJ&si=csrng5PEFs89F9hj)
26 | 
27 | ### NumPy Library
28 | - [freecodecamp](https://youtu.be/QUT1VHiLmmI?si=-WZKQYoQoddMxYeM)
29 | - [Elzero Web School ](https://youtube.com/playlist?list=PLUgz8T_NoatsJCH-DmieQhqhSL2WBvlm-&si=zs-ZTKyPYlY417LW)
30 | 
31 | ### Pandas Library
32 | - [Alex The Analyst](https://www.youtube.com/watch?v=dUpyC40cF6Q&list=PLUaB-1hjhk8GZOuylZqLz-Qt9RIdZZMBE)
33 | - [W3Schools](https://www.w3schools.com/python/pandas/default.asp)
34 | - [Pandas Documentation](https://pandas.pydata.org/docs/user_guide/index.html#user-guide)
35 | 
36 | ### Matplotlib Library
37 | - [freecodecamp](https://youtu.be/3Xc3CA655Y4?si=oj4JLhH3HkYX9iiz)
38 | - [Matplotlib Documentation](https://matplotlib.org/stable/users/index.html)
39 | 
40 | ## Level two (Data Analysis): 
41 | - [Coursera: EDA Python and Pandas](https://www.coursera.org/projects/exploratory-data-analysis-python-pandas)
42 | - [freecodecamp](https://www.youtube.com/watch?v=r-uOLxNrNk8)
43 | - [Geeks: 30 EDA Projects](https://www.geeksforgeeks.org/data-analyst-projects/)
44 | 
45 | ## Level three (Machine Learning):
46 | - [Coursera: Machine Learning Specialization](https://www.coursera.org/specializations/machine-learning-introduction#courses)
47 | - [freecodecamp: Full Machine Learning Course](https://www.youtube.com/watch?v=hDKCxebp88A)
48 | 
49 | ## Level four (Deep Learning):
50 | - [Coursera: Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning#courses)
51 | 
52 | ## Resources:
53 | - [Kaggle Learn](https://www.kaggle.com/learn)
54 | - [Roadmap](https://roadmap.sh/ai-data-scientist)
55 | 


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