Nikitajain JainData Pre-processingData processing as the name implies involves making the data ready to be processed by the model.Mar 12Mar 12
Nikitajain JainFeature SelectionBeing into data science, you would already heard about “curse of dimensionality” . If not nothing to worry about. We will talk about it…Mar 12Mar 12
Nikitajain JainSpread of dataFinding the mean, median, and mode of a dataset is a good way to start getting an understanding of the general shape of your dataJan 24Jan 24
Nikitajain JainSummary Statistics for data inspectionEveryone of you have heard about central tendencies descriptive indicators like mean, median, mode, variance, spread . Let’s first…Jan 24Jan 24
Nikitajain JainTopics to cover : Stats for DATA SCIENCECounting (Permutations and Combinations):Jan 23Jan 23
Nikitajain JainUnderstanding the data and variables — StatisticsIn data science journey , the foremost important thing to learn is to understand the “data” and its “type”. Also we will check if the data…Jan 19Jan 19
Nikitajain JainPandas -operations (functions), handling missing data for Data Science. Plotting with matplotlib — linear and scatter plots, subplotsJan 18Jan 18
Nikitajain JainExploring data with pandasThis analysis has been derived using the dataset https://drive.google.com/file/d/12sWime5WfEwNannjJZV45T2Pog9khJZK/view?usp=drive_link.Jan 18Jan 18
Nikitajain JainPandas for Data SciencePandas is a Python module for working with tabular data (i.e., data in a table with rows and columns). Tabular data has a lot of the same…Jan 18Jan 18
Nikitajain JainArray Mathematics & Broadcasting in NumPyPandas — series and dataframes, viewing data, data selection, operations (functions), handling missing data. Plotting with matplotlib —…Jan 18Jan 18