Python-Data-Science-and-Machine-Learning-Bootcamp-Projects

My solutions for the projects given in the Udemy course: Python for Data Science and Machine Learning Bootcamp by Jose Portilla. I have listed the topics covered in the course below, and notice that not all of the topics have a project. The instructor also follows the ISLR book along with the Machine Learning topics.

Topics covered:

Jupyter Notebook Overview and Basic Python
NumPy for Numerical Data
Pandas for Data Analysis
Matplotlib for Python Plotting
Seaborn for statistical plots
Plotly (and Cufflinks) for interactive dynamic visualizations
Geographical Plotting (Choropleth Maps)
2 Data Capstone Projects including the topics above
SciKit-Learn for Machine Learning
- Cross Validation and Bias-Variance Trade-Off
- Linear Regression
- k-Nearest Neighbours
- Logistic Regression
- K-Means Clustering
- Random Forest and Decision Trees
- Support Vector Machines
- Principal Component Analysis
Natural Language Processing
Recommender Systems
Neural Networks and Deep Learning
- Tensorflow
- Keras
Big Data and Spark with Python

Note: The solutions given are my solutions, and they are posted with the permission of the instructor.

Reference:

Python for Data Science and Machine Learning Bootcamp:
- Retrieved from https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/

Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
00 - Python Crash Course Exercises.ipynb		00 - Python Crash Course Exercises.ipynb
01 - Numpy Exercises.ipynb		01 - Numpy Exercises.ipynb
02 - Pandas - SF Salaries Exercise.ipynb		02 - Pandas - SF Salaries Exercise.ipynb
03 - Matplotlib Exercises.ipynb		03 - Matplotlib Exercises.ipynb
04 - Seaborn Exercises.ipynb		04 - Seaborn Exercises.ipynb
05 - Pandas Data Visualization Exercise.ipynb		05 - Pandas Data Visualization Exercise.ipynb
06 - Choropleth Maps Exercise.ipynb		06 - Choropleth Maps Exercise.ipynb
07 - Data Capstone Project 1 - 911 Calls.ipynb		07 - Data Capstone Project 1 - 911 Calls.ipynb
07 - Data Capstone Project 2 - Finance Project.ipynb		07 - Data Capstone Project 2 - Finance Project.ipynb
08 - ML - Linear Regression Project.ipynb		08 - ML - Linear Regression Project.ipynb
09 - ML - Logistic Regression Project.ipynb		09 - ML - Logistic Regression Project.ipynb
10 - ML - k Nearest Neighbors Project.ipynb		10 - ML - k Nearest Neighbors Project.ipynb
11 - ML - Decision Trees and Random Forest Project.ipynb		11 - ML - Decision Trees and Random Forest Project.ipynb
12 - ML - K Means Clustering Project.ipynb		12 - ML - K Means Clustering Project.ipynb
13 - ML - Support Vector Machines Project.ipynb		13 - ML - Support Vector Machines Project.ipynb
14 - NLP Project.ipynb		14 - NLP Project.ipynb
15 - DL - Tensorflow Project Exercise.ipynb		15 - DL - Tensorflow Project Exercise.ipynb
2011_US_AGRI_Exports		2011_US_AGRI_Exports
2012_Election_Data		2012_Election_Data
2014_World_GDP		2014_World_GDP
2014_World_Power_Consumption		2014_World_Power_Consumption
911.csv		911.csv
Classified Data		Classified Data
College_Data		College_Data
Ecommerce Purchases		Ecommerce Purchases
Excel_Sample.xlsx		Excel_Sample.xlsx
KNN_Project_Data		KNN_Project_Data
README.md		README.md
Salaries.csv		Salaries.csv
advertising.csv		advertising.csv
all_banks		all_banks
bank_note_data.csv		bank_note_data.csv
df1		df1
df2		df2
df3		df3
example		example
flights.csv		flights.csv
fmri.csv		fmri.csv
iris.csv		iris.csv
kyphosis.csv		kyphosis.csv
loan_data.csv		loan_data.csv
multi_index_example		multi_index_example
tips.csv		tips.csv
titanic.csv		titanic.csv
titanic_test.csv		titanic_test.csv
titanic_train.csv		titanic_train.csv
yelp.csv		yelp.csv

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