iframe-proxy | Sunbelt Computer Software

Name	Name	Last commit message	Last commit date
Latest commit History 1 Commit
.ipynb_checkpoints	.ipynb_checkpoints
Election Data Project.ipynb	Election Data Project.ipynb
Lec_28_test.xlsx	Lec_28_test.xlsx
Lecture 10 - Array Transposition.ipynb	Lecture 10 - Array Transposition.ipynb
Lecture 11 - Universal Array Functions.ipynb	Lecture 11 - Universal Array Functions.ipynb
Lecture 12 - Array Processing.ipynb	Lecture 12 - Array Processing.ipynb
Lecture 13 - Array Input and Output.ipynb	Lecture 13 - Array Input and Output.ipynb
Lecture 14 - Series - Beginning of Pandas.ipynb	Lecture 14 - Series - Beginning of Pandas.ipynb
Lecture 15 - DataFrame.ipynb	Lecture 15 - DataFrame.ipynb
Lecture 16 - Index Objects.ipynb	Lecture 16 - Index Objects.ipynb
Lecture 17 - Reindexing.ipynb	Lecture 17 - Reindexing.ipynb
Lecture 18 - Drop Entry.ipynb	Lecture 18 - Drop Entry.ipynb
Lecture 19 - Selecting Entries.ipynb	Lecture 19 - Selecting Entries.ipynb
Lecture 20 - Data Alignment.ipynb	Lecture 20 - Data Alignment.ipynb
Lecture 21 - Rank and Sort.ipynb	Lecture 21 - Rank and Sort.ipynb
Lecture 22 - Summary Statistics.ipynb	Lecture 22 - Summary Statistics.ipynb
Lecture 23 - Missing Data.ipynb	Lecture 23 - Missing Data.ipynb
Lecture 24 - Index Hierachy.ipynb	Lecture 24 - Index Hierachy.ipynb
Lecture 25 - Reading and Writing Text Files.ipynb	Lecture 25 - Reading and Writing Text Files.ipynb
Lecture 26 - JSON with Python.ipynb	Lecture 26 - JSON with Python.ipynb
Lecture 27 - HTML with Python.ipynb	Lecture 27 - HTML with Python.ipynb
Lecture 28 - Excel with Python.ipynb	Lecture 28 - Excel with Python.ipynb
Lecture 29 - Merge.ipynb	Lecture 29 - Merge.ipynb
Lecture 30 - Merge on Index.ipynb	Lecture 30 - Merge on Index.ipynb
Lecture 31 - Concatenate.ipynb	Lecture 31 - Concatenate.ipynb
Lecture 32 - Combining DataFrames.ipynb	Lecture 32 - Combining DataFrames.ipynb
Lecture 33 - Reshaping.ipynb	Lecture 33 - Reshaping.ipynb
Lecture 34 - Pivoting.ipynb	Lecture 34 - Pivoting.ipynb
Lecture 35 - Duplicates in DataFrames.ipynb	Lecture 35 - Duplicates in DataFrames.ipynb
Lecture 36 - Mapping.ipynb	Lecture 36 - Mapping.ipynb
Lecture 37 - Replace.ipynb	Lecture 37 - Replace.ipynb
Lecture 38 - Rename Index.ipynb	Lecture 38 - Rename Index.ipynb
Lecture 39 - Binning.ipynb	Lecture 39 - Binning.ipynb
Lecture 40 - Outliers.ipynb	Lecture 40 - Outliers.ipynb
Lecture 41 - Permutation.ipynb	Lecture 41 - Permutation.ipynb
Lecture 42 - Groupby on DataFrames.ipynb	Lecture 42 - Groupby on DataFrames.ipynb
Lecture 43 - Groupby on Dict and Series.ipynb	Lecture 43 - Groupby on Dict and Series.ipynb
Lecture 44 - Aggregation.ipynb	Lecture 44 - Aggregation.ipynb
Lecture 45 - Split, Apply, Combine.ipynb	Lecture 45 - Split, Apply, Combine.ipynb
Lecture 46 - Cross-Tabulation.ipynb	Lecture 46 - Cross-Tabulation.ipynb
Lecture 48 - Histograms.ipynb	Lecture 48 - Histograms.ipynb
Lecture 49 - Kernel Density Estimation Plots.ipynb	Lecture 49 - Kernel Density Estimation Plots.ipynb
Lecture 50 - Combining Plot Styles.ipynb	Lecture 50 - Combining Plot Styles.ipynb
Lecture 51 - Box and Violin Plots.ipynb	Lecture 51 - Box and Violin Plots.ipynb
Lecture 52 - Regression Plots.ipynb	Lecture 52 - Regression Plots.ipynb
Lecture 53 - Heatmaps and Clustered Matrices.ipynb	Lecture 53 - Heatmaps and Clustered Matrices.ipynb
Lecture 7 - Creating Arrays.ipynb	Lecture 7 - Creating Arrays.ipynb
Lecture 8 - Using arrays and scalar.ipynb	Lecture 8 - Using arrays and scalar.ipynb
Lecture 9 - Indexing arrays.ipynb	Lecture 9 - Indexing arrays.ipynb
Logistic Regression.ipynb	Logistic Regression.ipynb
Multi-Class Classification.ipynb	Multi-Class Classification.ipynb
Naive Bayes Classifiers.ipynb	Naive Bayes Classifiers.ipynb
SQL SELECT,DISTINCT,WHERE,AND & OR.ipynb	SQL SELECT,DISTINCT,WHERE,AND & OR.ipynb
SQL WILDCARDS, ORDER BY, GROUP BY, and Aggregate.ipynb	SQL WILDCARDS, ORDER BY, GROUP BY, and Aggregate.ipynb
SQLite Tutorial.ipynb	SQLite Tutorial.ipynb
Stock Market Data Analysis.ipynb	Stock Market Data Analysis.ipynb
Supervised Learning - Linear Regresion.ipynb	Supervised Learning - Linear Regresion.ipynb
Support Vector Machines.ipynb	Support Vector Machines.ipynb
Titanic Intro Project.ipynb	Titanic Intro Project.ipynb
Udemy iPython Lecture 4.ipynb	Udemy iPython Lecture 4.ipynb
lecture25.csv	lecture25.csv
myarray.npy	myarray.npy
mytextarray.txt	mytextarray.txt
mytextdata_out.csv	mytextdata_out.csv
sakila copy.db	sakila copy.db
sakila.db	sakila.db
sekila.db	sekila.db
train.csv	train.csv
winequality-red.csv	winequality-red.csv
ziparray.npz	ziparray.npz