https://github.com/krishnaik06/6-Months-Data-Science-Roadmap-

6 Months Data Science Roadmap in 2023

1. Python Programming Language -1 Month

Python: Python In English:https://www.youtube.com/watch?v=bPrmA1SEN2k&list=PLZoTAELRMXVNUL99R4bDlVYsncUNvwUBB

Python In Hindi: https://www.youtube.com/watch?v=MJd9d9Mpxg0&list=PLTDARY42LDV4qqiJd1Z1tShm3mp9-rP4v

Flask Playlist: https://www.youtube.com/watch?v=4L_xAWDRs7w&list=PLZoTAELRMXVPBaLN3e-uoVRR9hlRFRfUc

Final Goal Outcome:

1. Basic To Intermediate Python With various knowledge of various Data structures like numpy,pandas,matplotlib and many more.
2. Knowledge of performing EDA,Feature Engineering and creating visualization charts using python
3. Atleast Make some python projects using Frameworks such as Flask with deployment Eg: Web Scrapping Projects

What's New In Python 3.10

https://docs.python.org/3/whatsnew/3.10.html

2. Statistics

English: 7 Days Statistics Live Session :https://www.youtube.com/watch?v=11unm2hmvOQ&list=PLZoTAELRMXVMgtxAboeAx-D9qbnY94Yay

Statistics in ML(43 videos): https://www.youtube.com/watch?v=zRUliXuwJCQ&list=PLZoTAELRMXVMhVyr3Ri9IQ-t5QPBtxzJO

Hindi: Stats Playlist: https://www.youtube.com/watch?v=7y3XckjaVOw&list=PLTDARY42LDV6YHSRo669_uDDGmUEmQnDJ

EDA

EDA Live :https://www.youtube.com/playlist?list=PLZoTAELRMXVPzj1D0i_6ajJ6gyD22b3jh

EDA Detailed Playlist: https://www.youtube.com/watch?v=ioN1jcWxbv8&list=PLZoTAELRMXVPQyArDHyQVjQxjj_YmEuO9

Feature Engineering

Complete Detailed Feature Engineering: https://www.youtube.com/watch?v=6WDFfaYtN6s&list=PLZoTAELRMXVPwYGE2PXD3x0bfKnR0cJjN

Live EDA Feature Engineering Playlist: https://www.youtube.com/watch?v=bTN-6VPe8c0&list=PLZoTAELRMXVPzj1D0i_6ajJ6gyD22b3jh

Final Goal Outcome:

1. Techniques to Perform Statistical Analysis
2. Familiar with all concepts which will be important for Machine Learning

3. Databases

1. Mongodb: https://www.youtube.com/watch?v=magzEfYqIos&list=PLZoTAELRMXVN_8zzsevm1bm6G-plsiO1I
2. Mysql:https://www.youtube.com/watch?v=us1XyayQ6fU&list=PLZoTAELRMXVNMRWlVf0bDDSxNEn38u9Cl

4. Machine Learning

Complete Around 20-25 Algorithms Both ssupervised And Unsupervised ML Live ML Playlist: https://www.youtube.com/watch?v=z8sxaUw_f-M&list=PLZoTAELRMXVPjaAzURB77Kz0YXxj65tYz

Complete ML Playlist: https://www.youtube.com/watch?v=bPrmA1SEN2k&list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe

Hindi: ML Playlist: https://www.youtube.com/watch?v=7uwa9aPbBRU&list=PLTDARY42LDV7WGmlzZtY-w9pemyPrKNUZ

Deep Learning Playlist:

5 DaysLive Deep Learning Playlist: https://www.youtube.com/watch?v=8arGWdq_KL0&list=PLZoTAELRMXVPiyueAqA_eQnsycC_DSBns

Complete Deep Learning Playlist: https://www.youtube.com/watch?v=YFNKnUhm_-s&list=PLZoTAELRMXVPGU70ZGsckrMdr0FteeRUi

NLP Playlist:

English: Live NLP Playlist: https://www.youtube.com/watch?v=w3coRFpyddQ&list=PLZoTAELRMXVNNrHSKv36Lr3_156yCo6Nn

Complete NLP Playlist:https://www.youtube.com/watch?v=fM4qTMfCoak&list=PLZoTAELRMXVMdJ5sqbCK2LiM0HhQVWNzm

AIOPS: End To End ML Projects

1. Github Action CI/CD pipelines
2. Circle CI
3. Kubeflow
4. MLflow
5. Deployment Technqiues In AWS,AZURE, GCP,Dockers And Kubernetes
6. Evidently AI
7. Grafana(Monitoring)
8. AirFlow

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