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.

Name		Name	Last commit message	Last commit date
Latest commit History 47 Commits
Artificial Neural Network Projects		Artificial Neural Network Projects
Data Project		Data Project
Global Financial Stability Pandas Exercise		Global Financial Stability Pandas Exercise
K Means Clustering Project		K Means Clustering Project
K Nearest Neighbor Project		K Nearest Neighbor Project
Keras API Project		Keras API Project
Keras Classification		Keras Classification
Keras Regression Project		Keras Regression Project
Linear Regression Project		Linear Regression Project
Logistic Regression Project		Logistic Regression Project
Natural Language Processing Project		Natural Language Processing Project
Recommender Systems		Recommender Systems
SVM Project		SVM Project
Tree Methods		Tree Methods
Natural_Language_Processing.ipynb		Natural_Language_Processing.ipynb
README.md		README.md

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