Machine-Learning-with-Python

Python codes for common Machine Learning Algorithms

Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
A Simple Classification.ipynb		A Simple Classification.ipynb
Build Recommender System in an Hour - Part 2.ipynb		Build Recommender System in an Hour - Part 2.ipynb
CLV_Non_Contractual.ipynb		CLV_Non_Contractual.ipynb
CLV_Online_Retail.ipynb		CLV_Online_Retail.ipynb
Classifier Visualization.ipynb		Classifier Visualization.ipynb
Consumer_complaints.ipynb		Consumer_complaints.ipynb
Customer_Segmentation_Online_Retail.ipynb		Customer_Segmentation_Online_Retail.ipynb
Customer_Segmentation_Whosale.ipynb		Customer_Segmentation_Whosale.ipynb
Ease_of_Business.ipynb		Ease_of_Business.ipynb
Employee_Turnover.ipynb		Employee_Turnover.ipynb
Evaluation.ipynb		Evaluation.ipynb
LDA.ipynb		LDA.ipynb
Logistic Regression in Python - Step by Step.ipynb		Logistic Regression in Python - Step by Step.ipynb
Machine Learning for Diabetes.ipynb		Machine Learning for Diabetes.ipynb
Multiple Linear Regression.ipynb		Multiple Linear Regression.ipynb
Predict_Bay_Area_Home_Price.ipynb		Predict_Bay_Area_Home_Price.ipynb
README.md		README.md
Recommender Systems - The Fundamentals.ipynb		Recommender Systems - The Fundamentals.ipynb
SF_Crime_Text_Classification_PySpark.ipynb		SF_Crime_Text_Classification_PySpark.ipynb
Simple Linear Regression.ipynb		Simple Linear Regression.ipynb
Softmax function.ipynb		Softmax function.ipynb
Solving A Simple Classification Problem with Python.ipynb		Solving A Simple Classification Problem with Python.ipynb
Supervised Learning - Part I.ipynb		Supervised Learning - Part I.ipynb
Supervised Learning - Part II.ipynb		Supervised Learning - Part II.ipynb
Topic Modeling.ipynb		Topic Modeling.ipynb
Unsupervised Learning.ipynb		Unsupervised Learning.ipynb
Zakka_Canada_CLV.ipynb		Zakka_Canada_CLV.ipynb
adspy_shared_utilities.py		adspy_shared_utilities.py
breast_cancer_predict.ipynb		breast_cancer_predict.ipynb
data_preprocessing.py		data_preprocessing.py
dataset.csv		dataset.csv
diabetes.csv		diabetes.csv
fruit_data_with_colors.txt		fruit_data_with_colors.txt
scatter_plots.ipynb		scatter_plots.ipynb
stack_over_flow_auto_tagging.ipynb		stack_over_flow_auto_tagging.ipynb
topic_modeling_Gensim.ipynb		topic_modeling_Gensim.ipynb
visuals.py		visuals.py

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