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capstone project for data analysis and visualization using seaborn, panda, numpy, cufflinks as well as deep learning models and machine learning

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Python Data Science and Machine Learning and Tensorflow 2 and Keras Deep Learning Bootcamp Mini Projects

(Mini Projects)

project 1: learning analysing the data and visualization it using seaborn, panda, numpy, cufflinks

exercise 1: analysing global financial stability dataset with pandas

project 2: learning linear regression, how to train and test the data

project 3: learning logistic regression

project 4: k nearest neighbors

project 5: decision trees and random forests model, second project with dtreeviz library

project 6: Breast cancer wisconsin (diagnostic) dataset and analyzing the famous iris data set.(built-in datasets of python)

project 7: K means clustering and analysing a college data

project 8: Recommender systems

project 9: This dataset contains house sale prices for King County, which includes Seattle. Project for evaluating simple regression models.

project 10: Working with the previous cancer diagnostic dataset in deep learning, building models, dropout and early stopping(callbacks).

project 11: Working with a subset of the Lending Club dataset obtained from Kaggle.

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capstone project for data analysis and visualization using seaborn, panda, numpy, cufflinks as well as deep learning models and machine learning

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