Finally, a Book Review. It is long over due. During the last few years, used a lot of interesting books on Data Science and Machine Learning for learning and teaching. Hoping to add reviews of the useful Data Science books that I have used, periodically. Here is the first book review on Python Data Science […]
3 Ways to Add New Columns to Pandas Dataframe?
While doing data wrangling or data manipulation, often one may want to add a new column or variable to an existing Pandas dataframe without changing anything else. Obviously the new column will have have the same number of elements. Let us see examples of three ways to add new columns to a Pandas data frame. […]
How To Make Heatmap with Seaborn in Python?
Visualizing data with heatmaps is a great way to do exploratory data analysis, when you have a data set with multiple variables. Heatmaps can reveal general pattern in the dataset, instantly. And it is very easy to make beautiful heatmaps with Seaborn library in Python. Let us see 3 examples of creating heatmap visualizations with […]
3 Ways To Create Sparse Matrix in COO Format with SciPy
Sparse matrices greatly help dealing with large matrices with a lot of missing data. Sparse matrix efficiently store data set with a lot sparsity in matrix. It offers a much smaller memory foot print to store and access than the full matrix. With SciPy’s Sparse module, one can directly use sparse matrix for common arithmetic […]
RStudio:conf 2019 Tweets, Talks, and Slides
The Annual R festival aka RStudio:conf is happening this week. It is probably the most liked R conferences for all all things R and Data Science. If you are not attending in person, you can experience the conference remotely through live streaming of the conference for free now and recorded videos of the conference a […]