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.ipynb_checkpoints
.ipynb_checkpoints
 
 
01 python crash course
01 python crash course
 
 
02 python for data analysis - Numpy
02 python for data analysis - Numpy
 
 
03 python for data analysis - Pandas
03 python for data analysis - Pandas
 
 
04 python for data analysis - Pandas Exercises
04 python for data analysis - Pandas Exercises
 
 
05 Python for Data Visualization - Matplotlib
05 Python for Data Visualization - Matplotlib
 
 
06. Python for Data Visualization - Seaborn
06. Python for Data Visualization - Seaborn
 
 
07. Python for Data Visualization - Pandas Built-in Data Visualization
07. Python for Data Visualization - Pandas Built-in Data Visualization
 
 
08. Python for Data Visualization - Plotly and Cufflinks
08. Python for Data Visualization - Plotly and Cufflinks
 
 
09. Python for Data Visualization - Geographical Plotting
09. Python for Data Visualization - Geographical Plotting
 
 
10. Data Capstone Project
10. Data Capstone Project
 
 
11. Introduction to Machine Learning
11. Introduction to Machine Learning
 
 
12. Linear regression
12. Linear regression
 
 
13. Logistic Regression
13. Logistic Regression
 
 
14. K Nearest Neighbors
14. K Nearest Neighbors
 
 
15. Decision Tree and Random Forest
15. Decision Tree and Random Forest
 
 
16. Support Vector Machine
16. Support Vector Machine
 
 
17. K Means clustering
17. K Means clustering
 
 
18. Principal Component Analysis PCA
18. Principal Component Analysis PCA
 
 
19. Recommender Systems
19. Recommender Systems
 
 
20. NLP
20. NLP
 
 
21. Neural networks and DL
21. Neural networks and DL
 
 
22. Big Data and Spark
22. Big Data and Spark
 
 
23. Extra notes
23. Extra notes
 
 
Refactored_Py_DS_ML_Bootcamp-master
Refactored_Py_DS_ML_Bootcamp-master
 
 
.gitattributes
.gitattributes
 
 
README.md
README.md
 
 
revision.ipynb
revision.ipynb
 
 

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python-for-data-science-and-machine-learning-bootcamp

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