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Copy pathRutuja Kawade
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Rutuja Kawade
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Work flow:
Week 1:
Day 1:
Installation of python environment for coding.
IDE: VS Code on Linux, Mac or Windows
https://code.visualstudio.com/download
Using online platform Jupyter Notebooks
https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/install.html
Day2 & Day3: Basis of Python
Day4 & Day5: Methods & Functions
Day6 & Day 7: Problem Solving of covered concepts
Week 2:
Day 1, 2, 3: basics of procedural programming
Day 4 & Day5: Python Data Structures
Day6 & Day7: Problems on covered concepts.
WEEK 3
Introduction to Python Libraries:
https://www.w3schools.com/python/python_modules.asp
https://docs.python.org/3/tutorial/modules.html
Hands on Numpy :
https://www.tutorialspoint.com/numpy/index.htm#:~:text=NumPy%2C%20which%20stands%20for%20Numerical,
as%20its%20architecture%20and%20environment.
https://numpy.org/devdocs/user/quickstart.html
https://www.youtube.com/watch?v=8JfDAm9y_7s&t=2s
https://www.youtube.com/watch?v=Rbh1rieb3zc
Week 4:
Pandas
https://www.youtube.com/playlist?list=PL-osiE80TeTsWmV9i9c58mdDCSskIFdDS
https://pandas.pydata.org/
https://www.youtube.com/watch?v=RhEjmHeDNoA
https://www.youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy
https://www.tutorialspoint.com/python_pandas/index.htm
Week 5: (28/06 to 04/07)
Matplotlib
https://www.youtube.com/watch?v=UO98lJQ3QGI&list=PL-osiE80TeTvipOqomVEeZ1HRrcEvtZB_
https://www.youtube.com/watch?v=yZTBMMdPOww
https://matplotlib.org/users/pyplot_tutorial.html
https://realpython.com/python-matplotlib-guide/
Seaborn
https://www.youtube.com/watch?v=TLdXM0A7SR8
https://www.datacamp.com/community/tutorials/seaborn-python-tutorial?utm_source=adwords_ppc&utm_campaignid=10267161064&utm_adgroupid=102842301792&utm_device=c&utm_keyword=&utm_matchtype=b&utm_network=g&utm_adpostion=&utm_creative=278443377092&utm_targetid=aud-299261629614:dsa-473406580275&utm_loc_interest_ms=&utm_loc_physical_ms=1007783&gclid=Cj0KCQjw3Nv3BRC8ARIsAPh8hgJNRKBfr8DHNawViBLjEq0JmwUmfpMjxydPRxeB90TB7vbGO0JDuKYaAhcSEALw_wcB
https://seaborn.pydata.org/tutorial.html
Material for this week is intentionally give less so Complete all assignments upto week 4(Pandas).
This week's assignment will be taken in next week.
I want everyone to complete all the course material given and submit all pending assignments from week 1 to week 4 by 4th of july.
Week 6 (05/07 to 11/07)
Scikit learn
https://scikit-learn.org/stable/tutorial/basic/tutorial.html
https://www.youtube.com/watch?v=0Lt9w-BxKFQ
https://www.youtube.com/watch?v=bwZ3Qiuj3i8
Scipy
https://www.youtube.com/watch?v=k8s-R3csOt0
https://www.youtube.com/watch?v=k8s-R3csOt0&t=21s
https://docs.scipy.org/doc/scipy/reference/tutorial/
EDA
https://en.wikipedia.org/wiki/Exploratory_data_analysis
https://towardsdatascience.com/exploratory-data-analysis-eda-a-practical-guide-and-template-for-structured-data-abfbf3ee3bd9
https://www.youtube.com/watch?v=-o3AxdVcUtQ
Short Assignment on Week 5 & Week 6 will be given.
PHASE 2
Complete one of the following Projects on or before 25th august 2020:
1. Handwritten Digit classification using MNIST Dataset.
2. Sentimental Analysis of Twitter or any other social media.
3. Exploratory data analysis of COVID'19.
4. Student Innovation