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911.csv
911.csv
 
 
911_Calls_Data_Capstone_Project.ipynb
911_Calls_Data_Capstone_Project.ipynb
 
 
College_Data
College_Data
 
 
Decision_Trees_and_Random_Forest_Project.ipynb
Decision_Trees_and_Random_Forest_Project.ipynb
 
 
Ecommerce_Customers
Ecommerce_Customers
 
 
Ecommerce_Purchases
Ecommerce_Purchases
 
 
Ecommerce_Purchases_Exercise.ipynb
Ecommerce_Purchases_Exercise.ipynb
 
 
Finance_Data_Capstone_Project.ipynb
Finance_Data_Capstone_Project.ipynb
 
 
K Nearest Neighbors Project.ipynb
K Nearest Neighbors Project.ipynb
 
 
KNN_Project_Data
KNN_Project_Data
 
 
K_Means_Clustering_Project.ipynb
K_Means_Clustering_Project.ipynb
 
 
K_Nearest_Neighbors_Project.ipynb
K_Nearest_Neighbors_Project.ipynb
 
 
Linear_Regression_Project.ipynb
Linear_Regression_Project.ipynb
 
 
Logistic_Regression_Project.ipynb
Logistic_Regression_Project.ipynb
 
 
Matplotlib_Exercises.ipynb
Matplotlib_Exercises.ipynb
 
 
Numpy_Exercises.ipynb
Numpy_Exercises.ipynb
 
 
Pandas_Data_Visualization_Exercise.ipynb
Pandas_Data_Visualization_Exercise.ipynb
 
 
Principal_Component_Analysis.ipynb
Principal_Component_Analysis.ipynb
 
 
Python_Crash_Course_Exercise.ipynb
Python_Crash_Course_Exercise.ipynb
 
 
README.md
README.md
 
 
SF_Salaries_Exercise.ipynb
SF_Salaries_Exercise.ipynb
 
 
Salaries.csv
Salaries.csv
 
 
Seaborn_Exercises.ipynb
Seaborn_Exercises.ipynb
 
 
Support_Vector_Machines_Project.ipynb
Support_Vector_Machines_Project.ipynb
 
 
advertising.csv
advertising.csv
 
 
all_banks
all_banks
 
 
loan_data.csv
loan_data.csv
 
 

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Python-DS-ML-Bootcamp

This is the repo of my Machine Learning journey. Contains notebooks of data visualization techniques, Data science capstone projects and some Machine Learning algorithms

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Mini Data Science projects using the various Data Science tools and Machine Learning algorithms I learnt - Pandas, Seaborn, Numpy, Linear Regression, K Nearest Neighbour, , Decison Trees and Random Forest

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numpy seaborn matplotlib panda knn logisticregression decisiontrees linearregreession randomforests

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