Installation Setup and Overview
IDEs and Course Resources
iPython/Jupyter Notebook Overview
Intro to numpy
Creating arrays
Using arrays and scalars
Indexing Arrays
Array Transposition
Universal Array Function
Array Processing
Array Input and Output
Series
DataFrames
Index objects, Reindex
Drop Entry , Selecting Entries
Data Alignment
Rank and Sort
Summary Statistics
Missing Data
Index Hierarchy
Reading and Writing Text Files
JSON with Python
HTML with Python
Microsoft Excel files with Python
Merge ,Merge on Index
Concatenate
Combining DataFrames
Reshaping Pivoting
Duplicates in DataFrames
Mapping Replace
Rename Index
Binning,Outliers,Permutation
GroupBy on DataFrames, GroupBy on Dict and Series
Splitting Applying and Combining
Cross Tabulation
Installing Seaborn
Histograms
Kernel Density Estimate Plots
Combining Plot Styles
Box and Violin Plots ,Regression Plots
Heatmaps and Clustered Matrices
Applications of Machine Learning
Supervised vs Unsupervised Learning
Python libraries suitable for Machine Learning
K-Means Clustering
Hierarchical Clustering
Density-Based Clustering
Applications of Machine Learning
Supervised vs Unsupervised Learning
Python libraries suitable for Machine Learning
Applications of Machine Learning
Supervised vs Unsupervised Learning
Python libraries suitable for Machine Learning
Applications of Machine Learning
Supervised vs Unsupervised Learning
Python libraries suitable for Machine Learning
Applications of Machine Learning
Supervised vs Unsupervised Learning
Python libraries suitable for Machine Learning