Roadmap_into_weeks.md

Roadmap into weeks

It's the same roadmap, but divided into weeks with an average studying rate of 7 hours per week.

This roadmap is divided into 4 stages:

1. Stage 1: you get a basic understanding of the prerequisites, data cleaning and git.

2. Stage 2: learn visualizing, Tableau, SQL and web scraping.

3. Stage 3: dive into ML and Math

4. Stage 4: where we learn DL, CV and NLP.

> You should make a task after each week, and some projects after each stage

Stage 1

Week 1 :

Python (first course in the specialization)
Task 1 : Notebook link

Week 2:

Python (second course in the specialization)
Descriptive stats till lesson4-variability (included)
Task 2 : Notebook link

Week 3:

Finish Descriptive stats
Google first course
Task 3 : Notebook link

Week 4:

Numpy video
6 videos of Corey playlist
Task 4 p1 : Notebook link
Task 4 p2 : Notebook link

Week 5:

Git (udacity)
2 lessons of Cleaning (datacamp)
Cleaning blog
Task 5 : Notebook link

Week 6:

Finish Cleaning (datacamp)
Visualizing (datacamp)
Task 6 : Link

Stage 2

Week 7:

Ask Questions (from google specialization)
More Visualizing (datacamp)
Task 7 : Link

Week 8:

EDA (datacamp)
Half of Tableau (udacity)
Excel data analysis
Task 8 : Investigate the following dataset Data

Week 9:

Finish Tableau (udacity)
Tableau and visualizing (from google specialization)
Task 9 : Tableau Task

Week 10:

Intro to DB
Intro to SQL
Task 10 : SQL Task

Week 11:

Intro to web scraping
Web scraping
Task 11 : Scraping Task

Week 12:

Inferential Stats
Task 12 : Notebook Link

Stage 3

Week 13 :

Prof. H.Tizhoosh
First 3 weeks in Mathematics for Machine Learning: Linear Algebra
First week in Supervised Machine Learning
Task 13 : Notebook Link

Week 14 :

Finish Mathematics for Machine Learning: Linear Algebra
Finish Supervised Machine Learning
Task 14 : Notebook Link

Week 15 :

First 3 weeks in Mathematics for Machine Learning: Multivariate Calculus
First 2 weeks in Advanced Learning Algorithms
Task 15 : Notebook Link

Week 16 :

Finish Mathematics for Machine Learning: Multivariate Calculus
Finish Advanced Learning Algorithms
Task 16 : Notebook Link

Week 17 :

Unsupervised Learning, Recommenders, Reinforcement Learning

Week 18 :

First 2 chapters in Hands on ML book

Week 19 :

Chapters 3,4 in Hands on ML book

Week 20 :

Chapters 5,6 in Hands on ML book

Week 21 :

Chapters 7,8 in Hands on ML book

Week 22 :

Chapter 9 in Hands on ML book
First part in Probability

Week 23 :

Finish Probability

More to be added...