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A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months
| Date | Stars |
|---|---|
| 2026-07-31 | 1217 |
| 2026-08-02 | 1216 |
| 2026-08-06 | 1217 |
Today
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# ML-Roadmap-for-2022
A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months
## Levels of Learning
1. ### Testing the waters
2. ### Gaining Conceptual depth
3. ### Learning Practical Concepts
4. ### Diving into different domains
5. ### Pushing it with Projects
## 1. Testing the waters (Est. time 6-8 Weeks)
The goal of this level is to get you familiar with the ML universe. You will learn a bit of everything.
1. #### Learn Python (Est. time - 2 weeks)
1. Basics of Python - https://www.youtube.com/playlist?list=PLKnIA16_Rmvb1RYR-iTA_hzckhdONtSW4
2. OOP in Python
- Lecture 1 - https://www.youtube.com/watch?v=1s869EfxoDo
- Lecture 2 - https://www.youtube.com/watch?v=8To-A6VPL90
3. Advance Topics
- File Handling - https://www.youtube.com/watch?v=ixEeeNjjOJ0
- Exception Handling - https://www.youtube.com/watch?v=NIWwJbo-9_8
- Regular Expressions - https://www.youtube.com/watch?v=K8L6KVGG-7o
- Functional Programming - https://www.youtube.com/watch?v=SvK_GErE2nM
- Basics of Flask - https://www.youtube.com/watch?v=swHI1H7DVsQ
4. Practice Problems - https://docs.google.com/document/d/1E_xCNijOWZ4Bm7r7DVj-1OA-oUopEFmv4tRm0YNuFWQ/edit?usp=sharing
2. #### Learn Numpy (Est. time 3 Days)
1. Numpy Playlist - https://www.youtube.com/watch?v=CpPLLp3snK4&list=PLKnIA16_Rmvb-ToL3RQ_bwxG4_ND-0-DT
2. Numpy Practice Problems - https://github.com/rougier/numpy-100
3. #### Learn Pandas (Est. time 4 Days)
1. Pandas Playlist - https://www.youtube.com/watch?v=kq9Vmg5d7Sk&list=PLKnIA16_RmvbR85fgbfVRKOiMokUKVupy
2. Pandas Problems - https://github.com/ajcr/100-pandas-puzzles
4. #### Learn Data Visualization (Est. time 1 Week)
1. Matplotlib - https://www.youtube.com/playlist?list=PL-osiE80TeTvipOqomVEeZ1HRrcEvtZB_
2. Seaborn - https://www.youtube.com/playlist?list=PLKnIA16_RmvbB1bFGjvS6a8T0mnqawejo
5. #### Descriptive Statistics (Est. time 4 Days)
1. Statistics Playlist - https://www.youtube.com/watch?v=tPhzDKjQBpo&list=PLKnIA16_RmvbVrE0eZO2bCaFln6jaNq-1
6. #### Learn Data Analysis Process (Est. time 1 week)
1. Playlist - https://www.youtube.com/watch?v=ZhacwtUR0SU&list=PLKnIA16_RmvZAqJzKstVHywcRNMn6pcGD
7. #### Learn Exploratory Data Analysis (EDA) (Est. time 1 Week)
1. Understanding your data - https://www.youtube.com/watch?v=mJlRTUuVr04
2. Univariate Analysis - https://www.youtube.com/watch?v=4HyTlbHUKSw
3. Bivariate and Multivariate Analysis - https://www.youtube.com/watch?v=6D3VtEfCw7w
4. Pandas Profiling - https://www.youtube.com/watch?v=E69Lg2ZgOxg
5. EDA on House Prices Dataset - https://www.kaggle.com/pmarcelino/comprehensive-data-exploration-with-python
6. EDA on Titanic Dataset - https://www.kaggle.com/startupsci/titanic-data-science-solutions
7. EDA on Haberman's Survival Dataset - https://www.kaggle.com/gokulkarthik/haberman-s-survival-exploratory-data-analysis
8. EDA on Heart Disease Dataset - https://www.kaggle.com/kralmachine/analyzing-the-heart-disease
9. EDA on IPL Dataset - https://www.kaggle.com/ash316/let-s-play-cricket
10. EDA on Wine Review Dataset - https://www.kaggle.com/kabure/wine-review-s-eda-recommend-systems
11. EDA on PIMA Diabetes Dataset - https://www.kaggle.com/shrutimechlearn/step-by-step-diabetes-classification-knn-detailed
12. EDA on Breast Cancer Dataset - https://www.kaggle.com/kanncaa1/statistical-learning-tutorial-for-beginners
13. EDA on Olympics Dataset - https://www.youtube.com/watch?v=5nQXhusiu7s
14. EDA on Covid Data - https://www.youtube.com/watch?v=ll0aZVNnOP8
15. WhatsApp Chat Analysis Project - https://www.youtube.com/watch?v=Q0QwvZKG_6Q
8. #### Learn Machine Learning Basics (Est. time 1 Week)
1. What is Machine Learning? https://www.youtube.com/watch?Excerpt of 19,616 characters
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matched fp:f5558b40ae15b58e, desc:curated list, name:roadmap