GitHub - edyoda/data-science-ml-foundation-10

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Name		Name	Last commit message	Last commit date
Latest commit History 92 Commits
.ipynb_checkpoints		.ipynb_checkpoints
MNIST_data		MNIST_data
1 Introduction to NumPy.ipynb		1 Introduction to NumPy.ipynb
1 NumPy a.ipynb		1 NumPy a.ipynb
1 NumPy.ipynb		1 NumPy.ipynb
3. TensorFlow for MI.ipynb		3. TensorFlow for MI.ipynb
Advanced NumPy.ipynb		Advanced NumPy.ipynb
Analysis.ipynb		Analysis.ipynb
Boosting Techniques.ipynb		Boosting Techniques.ipynb
Building Recommender Systems.ipynb		Building Recommender Systems.ipynb
Classification and Regression Using Supervised Learning.ipynb		Classification and Regression Using Supervised Learning.ipynb
Concat & Append.ipynb		Concat & Append.ipynb
Convolutional Neural Networks.ipynb		Convolutional Neural Networks.ipynb
Data Manupulation with Pandas.ipynb		Data Manupulation with Pandas.ipynb
Date-Time Example.ipynb		Date-Time Example.ipynb
Deep Learning.ipynb		Deep Learning.ipynb
Elasticnet Regression.ipynb		Elasticnet Regression.ipynb
Feature Engineering.ipynb		Feature Engineering.ipynb
Featurization .ipynb		Featurization .ipynb
Flatten dataframe.ipynb		Flatten dataframe.ipynb
Gas+Sensor+Array+Drift.ipynb		Gas+Sensor+Array+Drift.ipynb
HR_comma_sep.csv		HR_comma_sep.csv
Introduction to Matplotlib.ipynb		Introduction to Matplotlib.ipynb
Introduction to NumPy.ipynb		Introduction to NumPy.ipynb
Lecture2.pdf		Lecture2.pdf
Linear SVM.ipynb		Linear SVM.ipynb
Logistic Regression using TensorFlow.ipynb		Logistic Regression using TensorFlow.ipynb
Machine Learning Content.ipynb		Machine Learning Content.ipynb
Marketing_Data.csv.xlsx		Marketing_Data.csv.xlsx
MoreStock.csv		MoreStock.csv
Movie Recommander.ipynb		Movie Recommander.ipynb
Movie Review Sentiment Analysis.ipynb		Movie Review Sentiment Analysis.ipynb
NLTK.ipynb		NLTK.ipynb
Network+-+Imp+for+attack+cat (1).ipynb		Network+-+Imp+for+attack+cat (1).ipynb
New - 11 Vectorized String Operations.ipynb		New - 11 Vectorized String Operations.ipynb
New - 12 eval & query.ipynb		New - 12 eval & query.ipynb
New - 15 Scatter Plots.ipynb		New - 15 Scatter Plots.ipynb
New - 21 Hyperparameters and Model Validation.ipynb		New - 21 Hyperparameters and Model Validation.ipynb
New -13 Matplotlib - Introduction.ipynb		New -13 Matplotlib - Introduction.ipynb
New -14 Matplotlib Line Plots.ipynb		New -14 Matplotlib Line Plots.ipynb
New 10 - Pivot Tables.ipynb		New 10 - Pivot Tables.ipynb
New 11 Vectorizing String Operation & Titanic Data Analysis.ipynb		New 11 Vectorizing String Operation & Titanic Data Analysis.ipynb
New 11 Vectorizing String Operation.ipynb		New 11 Vectorizing String Operation.ipynb
New 21b Polynomial Degree.ipynb		New 21b Polynomial Degree.ipynb
New 22 Feature Engineering - String Handling.ipynb		New 22 Feature Engineering - String Handling.ipynb
New 26 - k Means Clustering.ipynb		New 26 - k Means Clustering.ipynb
New 27 ARIMA.ipynb		New 27 ARIMA.ipynb
New 28 Accuracy for Supervised Machine Learning.ipynb		New 28 Accuracy for Supervised Machine Learning.ipynb
New 28 Decision Trees & Ensemble Learning.ipynb		New 28 Decision Trees & Ensemble Learning.ipynb
New 28 Grid Search.ipynb		New 28 Grid Search.ipynb
New 29 Dimensionality Reduction using PCA .ipynb		New 29 Dimensionality Reduction using PCA .ipynb
New 8 - Append - Merge - Join.ipynb		New 8 - Append - Merge - Join.ipynb
New Text Document.txt		New Text Document.txt
New-1. Introduction to NumPy.ipynb		New-1. Introduction to NumPy.ipynb
New-10 BabyNames .ipynb		New-10 BabyNames .ipynb
New-10 Concat & Append, merge, join, grouping.ipynb		New-10 Concat & Append, merge, join, grouping.ipynb
New-16 Plotting standard datasets.ipynb		New-16 Plotting standard datasets.ipynb
New-17-Histograms, Binnings, Density.ipynb		New-17-Histograms, Binnings, Density.ipynb
New-18-Plot Legends.ipynb		New-18-Plot Legends.ipynb
New-19 Three dimension plotting.ipynb		New-19 Three dimension plotting.ipynb
New-2 More to NumPy.ipynb		New-2 More to NumPy.ipynb
New-20 Introduction to Machine Learning.ipynb		New-20 Introduction to Machine Learning.ipynb
New-22 Feature Engineering.ipynb		New-22 Feature Engineering.ipynb
New-23 Naive Bayes Classification.ipynb		New-23 Naive Bayes Classification.ipynb
New-24 Linear Regression .ipynb		New-24 Linear Regression .ipynb
New-25 Decision Trees and Random Forests.ipynb		New-25 Decision Trees and Random Forests.ipynb
New-3 Aggregations Sorting, Indexing, Transpose.ipynb		New-3 Aggregations Sorting, Indexing, Transpose.ipynb
New-4 Pandas - Introduction.ipynb		New-4 Pandas - Introduction.ipynb
New-5 Pandas - Indexing & Selecting.ipynb		New-5 Pandas - Indexing & Selecting.ipynb
New-6 Boolean Indexing.ipynb		New-6 Boolean Indexing.ipynb
New-7 Grouping, merging & Reshaping Data.ipynb		New-7 Grouping, merging & Reshaping Data.ipynb
New-8 - Append - Merge - Join.ipynb		New-8 - Append - Merge - Join.ipynb
New-9 Missing Data, Time Series.ipynb		New-9 Missing Data, Time Series.ipynb
NumPy - Broadcasting.ipynb		NumPy - Broadcasting.ipynb
Pandas - Handling Missing Data - Hierarchical Indexing .ipynb		Pandas - Handling Missing Data - Hierarchical Indexing .ipynb
Pandas 1 - Series.ipynb		Pandas 1 - Series.ipynb
Pandas 1 Understand Data.ipynb		Pandas 1 Understand Data.ipynb
Pandas Hierarchical Indexing .ipynb		Pandas Hierarchical Indexing .ipynb
Pandas Operation.ipynb		Pandas Operation.ipynb
Pandas merge join concat append.ipynb		Pandas merge join concat append.ipynb
Problem Solving with pipeline.ipynb		Problem Solving with pipeline.ipynb
Project 11 - Predicting Employee Exit.ipynb		Project 11 - Predicting Employee Exit.ipynb
Project 1 - Employee Exit Prediction.ipynb		Project 1 - Employee Exit Prediction.ipynb
Project 1 Pandas.ipynb		Project 1 Pandas.ipynb
Project 10 Image identification.ipynb		Project 10 Image identification.ipynb
Project 2 Balance Scale Data Set .ipynb		Project 2 Balance Scale Data Set .ipynb
Project 3 Car Evaluation Data Set .ipynb		Project 3 Car Evaluation Data Set .ipynb
Project 5 Census Income Data Set .ipynb		Project 5 Census Income Data Set .ipynb
Project 6 Titanic Machine Learning from Disaster.ipynb		Project 6 Titanic Machine Learning from Disaster.ipynb
Project 7 Movie Review Sentiment Analysis.ipynb		Project 7 Movie Review Sentiment Analysis.ipynb
Project 7 Predicting Amazon Food Rating.ipynb		Project 7 Predicting Amazon Food Rating.ipynb
Project 8 Employee Exit Prediction.ipynb		Project 8 Employee Exit Prediction.ipynb
Project 8 Identifying number of unique chars of unknown dataset.ipynb		Project 8 Identifying number of unique chars of unknown dataset.ipynb
Project 9 Dog Breed Identification.ipynb		Project 9 Dog Breed Identification.ipynb
Project Boston House Price.ipynb		Project Boston House Price.ipynb
Project Campaign Analysis.ipynb		Project Campaign Analysis.ipynb
Project Pandas 2.ipynb		Project Pandas 2.ipynb
Project Service Request.ipynb		Project Service Request.ipynb
Project+Bank+Marketing+Data+Set+ (1).ipynb		Project+Bank+Marketing+Data+Set+ (1).ipynb
Project+Bank+Marketing+Data+Set+.ipynb		Project+Bank+Marketing+Data+Set+.ipynb